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    Podcast Summary

    • Using AI in fundraising and healthcareAI is revolutionizing industries like fundraising and healthcare by improving efficiency, effectiveness, and accuracy through automation and prediction.

      Artificial Intelligence (AI) is increasingly being used in various industries, including fundraising for nonprofits and non-government agencies. A study by Google DeepMind showed that using the prompt "take a deep breath and work on this problem step by step" can improve the performance of AI chatbots, leading to better results. In the healthcare sector, a new startup, Qwerty APS, is using AI to automate paperwork for hospitals and health networks, competing with existing AI tools like Google's MedPalm 2. The medical field is also using AI to predict genetic diseases, with Google DeepMind's new tool, Alphamiscence, being able to identify DNA mutations that may cause genetic diseases. Anne Murphy, the CEO of Empowered Fundraiser Consulting and Coaching, was a guest on the Everyday AI Show to discuss how AI can be used in fundraising to increase efficiency and effectiveness. The Everyday AI Show is a daily podcast and newsletter that simplifies AI and provides practical advice for using it in everyday life, business, and career. The show also encourages an interactive community where listeners can engage with guests and ask questions.

    • Leveraging AI for Nonprofit FundraisingNonprofits can use AI to analyze donor data, optimize email campaigns, personalize fundraising appeals, and generate personalized thank-you messages, ultimately increasing fundraising efficiency and effectiveness.

      Nonprofits can significantly enhance their fundraising efforts by utilizing generative AI. Anne Murphy, the founder of Empowered Fundraiser, shared her experience and expertise on the topic during a recent conversation. She emphasized that while nonprofits often face resource constraints, the use of AI can help them access up-to-date best practices and increase their fundraising efficiency. Empowered Fundraiser is a company that assists organizations and individuals in raising more money by providing consulting, coaching, and professional development programs. Their team of subject matter experts keeps up with the latest trends and techniques in the fundraising sector, allowing them to guide their clients towards success. Nonprofits can use AI in various ways to improve their fundraising. For instance, they can leverage AI-powered tools to analyze donor data and identify potential major donors or trends in giving patterns. Additionally, AI can be used to optimize email campaigns, personalize fundraising appeals, and even generate personalized thank-you messages. Anne encouraged listeners to reach out to her on LinkedIn for more information and use cases on how nonprofits can effectively implement AI in their fundraising strategies. Overall, the conversation highlighted the potential of AI to transform the nonprofit sector and help organizations overcome resource limitations while maximizing their impact.

    • Streamlining collaboration and delivering results with ChatGPT in event planning and grant writingChatGPT can help save time, reduce stress, and improve quality in event planning and grant writing by handling tasks efficiently and effectively, allowing users to focus on their missions.

      ChatGPT and similar advanced language models can significantly streamline collaboration and deliverables in various sectors, particularly in event planning and grant writing. These use cases can save time, reduce stress, and improve the overall quality of work. For instance, event planning involves numerous collaborative tasks, from creating strategies and briefings to managing mailing lists and sending thank you notes. With ChatGPT, these tasks can be handled efficiently and effectively. Similarly, grant writing, which is often a pain point for many organizations due to the time-consuming nature of formatting and meeting specific requirements, can be simplified using ChatGPT. By leveraging this technology, nonprofits and other organizations can focus on their missions rather than getting bogged down in administrative tasks. Additionally, proper priming, prompting, and polishing of prompts can help users get the best possible results from ChatGPT. Overall, these tools can help make jobs more enjoyable and efficient, allowing us to prioritize rest and spaciousness.

    • Leveraging AI for Nonprofit Processes and TrustNonprofits can use AI to streamline operations, enhance fundraising, and maintain stakeholder trust by addressing concerns like data privacy, security, explainability, and bias with resources like Fundraising.ai.

      Nonprofit organizations can leverage large language models and generative AI to streamline various processes, including fundraising, while maintaining or even improving stakeholder trust. Trust is crucial in the nonprofit sector, especially when dealing with sensitive data like donor information. To ensure data security and privacy, nonprofits can look to resources like Fundraising.ai and its framework for responsible AI in fundraising. This framework addresses concerns such as data privacy, security, explainability, bias, and legalities. By being transparent about these practices and prioritizing data security, nonprofits can build and maintain trust with stakeholders. Additionally, removing personally identifiable information from data used in models is a practical step towards ensuring data security and peace of mind.

    • Effective business operations in nonprofitsNonprofits manage complex operations, staff, and budgets like businesses, and should prioritize efficient use of AI in areas like fundraising to meet donor expectations and strengthen trust.

      Nonprofits must prioritize having efficient and effective business operations, even while ensuring data security. While donors value the protection of their personal information, they also expect nonprofits to operate like professional businesses. The nonprofit sector often faces misconceptions about its lack of business plans, models, and tech stacks. However, these assumptions are inaccurate, as nonprofits manage staff, budgets, and complex operations just like for-profit businesses. When it comes to implementing AI in nonprofits, the focus should be on tailoring the technology to specific use cases rather than the organization's focus area. Fundraising, for instance, will have similar requirements across various sectors, such as applying for grants and engaging donors. By concentrating on optimizing AI for these shared use cases, nonprofits can improve their overall operations and meet donor expectations, ultimately strengthening donor trust and support.

    • Preparing for AI integration in nonprofitsNonprofits should invest time and effort to set up AI tools for communication, stewardship, events, impact reports, and board work. Use generative AI for enhanced processes but take a 'go slow to go fast' approach.

      Nonprofits should prepare for the integration of AI in their operations, particularly in areas like communication with donors, stewardship, events, impact reports, and working with boards. This involves setting up messaging, organizing Google Drive folders, email platforms, and CRMs, and automating workflows. The use of generative AI and large language models, such as Google Bard and Microsoft Copilot, can greatly enhance these processes, but it requires a significant upfront investment of time and effort. The "go slow to go fast" approach is crucial, as AI should not be seen as a shortcut but rather a tool that requires careful setup and customization. Ultimately, nonprofits that embrace AI will have a competitive advantage and be better positioned to achieve their missions effectively.

    • Nonprofits and AI: A Competitive EdgeNonprofits can use AI to automate tasks, communicate effectively, and attract Gen Z employees, giving them a competitive edge in the sector.

      Nonprofit organizations need to embrace AI technology to remain competitive and attractive to the next generation of employees. The use of AI can help automate repetitive tasks, freeing up time for staff to focus on more strategic and creative work. Moreover, AI can help nonprofits become more efficient communicators and leaders, setting them apart from traditional organizations. For those in marginalized groups, this technology presents an opportunity to seize leadership roles in AI and make a significant impact in the nonprofit sector. Additionally, attracting and retaining Gen Z employees is crucial for nonprofits, and the integration of AI can make the career path more appealing. To get started, nonprofits can identify tasks they dislike and delegate them to AI, allowing their team to focus on what they enjoy and what sets them apart from other organizations.

    • Identifying and addressing disliked tasks in grant writing and fundraisingStreamline manual tasks with affordable AI solutions like GTB+, tackle disliked tasks one by one, and stay informed with daily AI news and insights from the Everyday AI Show.

      Identifying and addressing tasks in grant writing and fundraising that you dislike can help improve your job satisfaction and overall efficiency. Make a list of these tasks and start tackling them one by one. Don't be distracted by the latest AI trends, especially in the nonprofit sector where resources may be limited. Tools like GTB+ can be affordable solutions to streamline manual tasks. Anne, a guest on the Everyday AI Show, emphasized the importance of addressing these tasks and encouraged listeners to reach out for help. The Everyday AI Show covers AI news and provides key takeaways, so be sure to sign up for the daily newsletter for more information. Nonprofit professionals should also check out today's newsletter for additional insights. Don't miss out on valuable information and subscribe to the Everyday AI Show's daily newsletter at youreverydayai.com.

    Recent Episodes from Everyday AI Podcast – An AI and ChatGPT Podcast

    EP 284: Building A Human-Led, AI-Enhanced Justice System

    EP 284: Building A Human-Led, AI-Enhanced Justice System

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    When we talk about AI, it's always about efficiency, more tasks, more growth. But when it comes to the legal system, can AI help law firms with impact and not just efficiency? Evyatar Ben Artzi, CEO and Co-Founder of Darrow,  joins us to discuss how AI can enhance the legal landscape.

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    Join the discussion: Ask Jordan and Evyatar questions on AI in the justice system

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    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Use of generative AI in the legal system
    2. Use of LLMs in the legal system
    3. AI's impact on efficiency in the legal industry

    Timestamps:
    01:20 Daily AI news
    04:35 About Evyatar and Darrow
    06:16 Challenges accessing information for lawyers
    09:27 AI efficiency movement is responsible for workload.
    10:24 AI revolutionizing legal world for success.
    16:51 Efficiency affects law firm's ability to bill.
    21:30 Improving mental health in legal profession with agility.
    26:55 Loss of online communities raises concerns about memory.
    27:58 Law firms pursuing right to be remembered.

    Keywords:
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    EP 283: WWT's Jim Kavanaugh GenAI Roadmap for Business Success

    EP 283: WWT's Jim Kavanaugh GenAI Roadmap for Business Success

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    Businesses are working out how to use GenAI in the best way. One company that's acing it? World Wide Technology. WWT's CEO, Jim Kavanaugh, is sharing their plan for implementing GenAI into business smoothly.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Jim questions on GenAI

    Related Episodes:
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    Topics Covered in This Episode:
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    2. Role of GenAI in World Wide Technology
    3. AI Adoption for Business Leaders
    4. Large Language Models and AI Impact
    5. Challenges in the Generative AI Space
    6. Organization Culture and AI Implementation

    Timestamps:
    01:30 About WWT and Jim Kavanaugh
    06:59 Connecting with users for effective AI.
    10:06 Advantage of working with NVIDIA for digital transformation.
    13:10 Discussing techniques and client example.
    18:35 CEOs implementing AI, seeking solutions.
    20:46 Creating awareness, training, and leveraging technology efficiently.
    25:27 AI increasingly important, impacts all industries' outcomes.
    27:18 Use secure, personalized language models for efficiency.
    32:32 Streamlining data access for engineers and sales.
    35:42 CEOs need to prioritize technology and innovation.
    37:02 NVIDIA is the game-changing leader.

    Keywords:
    generative AI, challenges of AI implementation, Jim Kavanaugh, CEO, Worldwide Technology, digital transformation, value-added reseller, professional services, comprehensive solution, AI strategies, NVIDIA, OpenAI's ChatGPT, large language models, GenAI, Advanced Technology Center, data aggregation, real-time data access, intelligent prompts, business leaders, AI technologies, data science, Jensen and NVIDIA, multimodal languages, AI-first organization, financial performance, go-to-market strategies, software development efficiency, RFP process

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    EP 282: AI’s Role in Scam Detection and Prevention

    EP 282: AI’s Role in Scam Detection and Prevention

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    If you think you know scammers, just wait.
     
    ↳ Voice cloning will fool the best of us.
    ↳ Deepfakes are getting sophisticated.
    ↳ Once-scammy emails now sound real.
     
    How can AI help? In a lot of ways. Yuri Dvoinos, Chief Innovation Officer at Aura, joins us to discuss AI's role in scam detection and prevention.
     
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    More on this Episode: Episode page
    Join the discussion: Ask Jordan and Yuri questions on AI and scam detection

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    Topics Covered in This Episode:
    1. Sophistication of AI in Scams
    2. Countermeasures to Combat AI Scams
    3. Deepfakes and Their Increasing Prevalence

    Timestamps:
    01:20 Daily AI news
    04:45 About Yuri and Aura
    07:32 Growing impact of impersonation and trust hacking.
    12:35 Consumer app with state-of-the-art protection.
    13:48 New technology scans emails to protect users.
    19:36 Need for awareness of sophisticated multi-platform scams.
    20:33 Be cautious of potential multichannel scams
    26:44 Scams are getting sophisticated, AI may worsen.
    30:05 Different organizations need varying levels of security.
    31:25 Deepfakes raise concerns about truth and trust.
    34:47 It's hard to detect scam communication online.

    Keywords:
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    EP 281: Elon Musk says AI will make jobs 'optional' – Crazy or correct?

    EP 281: Elon Musk says AI will make jobs 'optional' – Crazy or correct?

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    Will AI make jobs... optional? Elon Musk seems to think so. His comments struck a chord with some. And rightfully so. As polarizing as Elon Musk can be, does he have a point? Let's break it down.
     
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    More on this Episode: Episode page
    Join the discussion: Ask Jordan questions on AI and jobs

    Related Episodes: Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
    Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
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    Topics Covered in This Episode:
    1. Elon Musk's statement and its implications
    2. Future of work with AI advancements
    3. AI's impact on human purpose and employment
    4. Job displacement and AI investment over human employment

    Timestamps:
    01:40 Daily AI news
    07:47 Exploring the implications of generative AI.
    10:45 Concerns about AI impact on future jobs
    13:20 Elon Musk's track record: genius or random?
    17:57 Twitter's value drops 72% to $12.5B.
    22:34 Elon Musk predicts 80% chance of job automation.
    25:54 AI advancements may require universal basic income.
    29:03 AI systems rapidly advancing, surpassing previous capabilities.
    32:11 Bill Gates worries about AGI's misuse.
    35:04 AI advancements foreshadowing future efficiency and capabilities.
    39:42 Ultra-wealthy and disconnected elite shaping AI future.
    43:32 AI will dominate future work, requiring adaptation.
    46:19 US government may not understand future of work.

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    EP 280: GenAI for Business - A 5-Step Beginner's Guide

    EP 280: GenAI for Business - A 5-Step Beginner's Guide

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    Everyone is trying to wrap their heads around how to get GenAI into their business. We've had chats with over 120 experts and leaders from around the globe, including big companies, startups, and entrepreneurs. We're here to give you the lowdown on how you can start using GenAI in your business today.

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    More on this Episode: Episode page
    Join the discussion: Ask Jordan questions on AI

    Related Episodes:Ep 189: The One Biggest ROI of GenAI
    Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses

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    Topics Covered in This Episode:
    1. AI in Business
    2. Implementing AI
    3. AI Guidelines and Guardrails
    4. Practical Application of AI

    Timestamps:
    02:00 Daily AI news
    06:20 Experienced in growing companies of all sizes
    11:45 AI not fully implemented yet
    19:13 Generative AI changing workforce dynamics, impact discussion.
    21:32 Rapidly adapt to online business, seek guidance.
    31:19 AI guardrails and guidelines
    34:25 Companies overcomplicating generative AI, driven by peer pressure.
    37:45 Focus on measurable impact in AI projects.
    45:17 Leverage vendors and experts for AI education.
    51:48 AI may replace jobs - plan for future.
    54:48 Ethical AI implementation involves human and AI cooperation.
    01:00:42 Culmination of extensive work to simplify generative AI.

    Keywords:
    AI training, Employee education, Generative AI tools, Communication skills, Job displacement, AI implementation, Business ethics, AI in business, Guidelines for AI, Data Privacy, AI statistics, Transparency in AI, Bottom-up approach,  AI impact on work, Everyday AI Show

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    EP 279: Google’s New AI Updates from I/O: the good, the bad, and the WTF

    EP 279: Google’s New AI Updates from I/O: the good, the bad, and the WTF

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    Did Google say 'AI' too many times at their I/O conference? But real talk – it's hard to make sense of all of Google's announcements. With so many new products, updated functionality, and new LLM capabilities, how can you make sense of it all?  Oh.... that's what we're for.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on Google AI

    Related Episode:  Ep 204: Google Gemini Advanced – 7 things you need to know

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
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    Topics Covered in This Episode:
    1. Google's Updates and Announcements
    2. Google AI Evaluations
    3. Concerns Over Google's AI Development and Marketing

    Timestamps:
    01:30 Daily AI news
    05:30 What was announced at Google's I/O
    09:31 Microsoft and Google introduce AI for teams.
    12:38 AI features not available for paid accounts.
    16:12 Doubt Google's claims about their Gemini model.
    19:26 Speaker live-drew with Pixel phone, discussed code.
    22:24 Exciting city scene, impressive Vio and Astra.
    24:44 Gems and GPTs changing interactions with language models.
    29:26 Accessing advanced features requires technical know-how.
    33:45 Concerns about availability and timing of Google's features.
    36:14 Google CEO makes joke about overusing buzzwords.
    41:06 Google Gems: A needed improvement for Google Gemini.
    41:50 GPT 4 ranks 4th behind Windows Copilot.

    Keywords:
    Google IO conference, AI updates, NVIDIA revenue growth, Meta acquisition, Adapt AI startup, OpenAI deal, News Corp, Project Astra, Gemini AI agent, Gemini 1.5 pro, Ask photos powered by Gemini, Gemini Nano, Android 15, GEMS, Google AI teammate, Microsoft team copilot, Google Workspace, Google search, Veo, Imagine 3, Lyria, Google's AI music generator, Wyclef Jean, Large language models, GPT 4.0, Google Gemini, AI marketing tactics, Deceptive marketing, Discoverability issues, Branding issues.

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    EP 278: Microsoft Build AI Recap - 5 things you need to know

    EP 278: Microsoft Build AI Recap - 5 things you need to know

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    To end a week-ish full of AI happenings, Microsoft has thrown all kinds of monkey wrenches into the GenAI race. What did they announce at their Microsoft Build conference? And how might it impact you? Our last takeaway may surprise you.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on Microsoft AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
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    Topics Covered in This Episode:
    1. Microsoft Build Conference Key AI Features
    2. Microsoft Copilot Updates
    3. On-device AI and its future

    Timestamps:
    01:50 Startup Humane seeks sale amid product criticism.
    09:00 Using Copilot increases latency and potential errors.
    11:15 Copilot changing work with edge AI technology.
    13:51 Cloud may be more secure than personal devices.
    19:26 Recall technology may change required worker skills.
    20:24 Semantic search understands context, improving productivity.
    28:41 Impressive integration of GPT-4 in Copilot demo.
    31:41 New Copilot technology changes how we work.
    36:13 Customize and deploy AI agent to automate tasks.
    38:08 Uncertainty ahead for enterprise companies, especially Apple.
    46:09 Recap of 5 key announcements from build conference.

    Keywords:
    Microsoft CEO, Satya Nadella, Copilot stack, personal Copilot, team's Copilot, Copilot agents, Copilot Studio, Apple ecosystem, enterprise companies, Microsoft Teams, OpenAI, Jordan Wilson, Microsoft Build Conference, edge AI, Copilot Plus PC, recall feature, gpt4o capabilities, iPhone users, AI technology, data privacy and security, GPT 4 o desktop app, AI systems, recall, mainstream AI agents, Humane AI, Scarlett Johansson, ChatGPT, Anthropic Claude, COPilot Studio Agent, Microsoft product.

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    EP 277: How Nonprofits Can Benefit From Responsible AI

    EP 277: How Nonprofits Can Benefit From Responsible AI

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    Generative AI offers significant benefits to nonprofits. What obstacles do they encounter, and how can they utilize this innovative technology while safeguarding donor information and upholding trust with stakeholders? Nathan Chappell, Chief AI Officer at DonorSearch AI, joins us to explore the responsible use of AI in the nonprofit sector.

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    More on this Episode: Episode page
    Join the discussion: Ask Jordan and Nathan questions on AI and nonprofits

    Related Episodes:
    Ep 105: AI in Fundraising – Building Trust with Stakeholders
    Ep 148: Safer AI – Why we all need ethical AI tools we can trust

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
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    Timestamps:
    01:50 About Nathan and DonorSearch AI
    05:52 Decreased charity giving, AI aids nonprofit efficiency.
    09:39 AI enhances nonprofit efficiency, prioritizes human connections.
    13:35 Nonprofits need to embrace AI for advancement.
    16:22 Use AI to create engagement stories, scalable.
    18:59 Internet equalized access to computing power.
    25:02 Nonprofits rely on trust, need responsible AI.
    29:52 Ensuring trust and accountability in generative AI.
    33:35 AI is about people leveling up work.
    34:16 Daily exposure to new tech terms essential.

    Topics Covered in This Episode:
    1. Impact of Generative AI for Nonprofits
    2. Digital Divide in Nonprofit Sector
    3. Role of Trust in Nonprofits and responsible AI usage
    4. Traditional Fundraising vs. generative AI
    5. Future of AI in Nonprofits

    Keywords:
    Nonprofits, generative AI, ethical use of AI, Jordan Wilson, Nathan Chappell, DonorSearch AI, algorithm, gratitude, machine learning, digital divide, AI employment impact, inequality, LinkedIn growth, Taplio, trust, Fundraising AI, responsible AI, AI explainability, AI accountability, AI transparency, future of nonprofits, AI adaptation, predictive AI, personalization, data for donors, generosity indicator, precision and personalization, AI efficiency, human-to-human interaction, AI tools.

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    EP 276: AI News That Matters - May 20th, 2024

    EP 276: AI News That Matters - May 20th, 2024

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    OpenAI and Reddit’s data partnership, will Google’s AI plays help them catch ChatGPT, and what’s next for Microsoft?  Here's this week's AI News That Matters!

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Key Partnerships and Deals in AI
    2. Google's New AI Developments
    3. Microsoft's Upcoming Developer Conference
    4. Apple's Future AI Implementation

    Timestamps:
    02:00 Reddit partners with OpenAI for AI training, content.
    04:28 Large companies lack transparency in model training.
    06:58 Reddit becoming preferred search over Google, value in partnerships.
    12:08 OpenAI announced GPT 4 o and new feature.
    14:48 Google announced live smart assistance, leveraging AI.
    18:19 Customize data/files, tap into APIs, virtual teammate.
    21:06 Impressed by Google's new products and features.
    26:33 Apple to use OpenAI for generative AI.
    29:08 Speculation around AI safety, resignation raises questions.
    32:22 Concerns about OpenAI employees leaving is significant.
    34:20 Google and Microsoft announce AI developments, drama at OpenAI.

    Keywords:
    Jan Leakey, smarter than human machines, Reddit, OpenAI, data deal, model training, Google, AI project Astra, Microsoft's Build developer conference, AI developments, Apple partnership, safety concerns, everydayai.com, Ask Photos, Gemini Nano, Android 15, AI powered search, Gemini AI assistant, Google AI teammate, Microsoft developer conference, Copilot AI, AI PCs, Intel, Qualcomm, AMD, Seattle, Jordan Wilson, personal data, Reddit partnership, Google IO conference.

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    EP 275: Be prepared to ChatGPT your competition before they ChatGPT you

    EP 275: Be prepared to ChatGPT your competition before they ChatGPT you

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    If you're not gonna use AI, your competition is. And they might crush you. Or, they might ChatGPT you. Barak Turovsky, VP of AI at Cisco, gives us the best ways to think about Generative AI and how to implement it. 

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Barak questions on ChatGPT

    Related Episodes: Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
    Ep 246: No that’s not how ChatGPT works. A guide on who to trust around LLMs

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    Topics Covered in This Episode:
    1. Large Language Models (LLMs) and Business Competitiveness
    2. Understanding LLMs for Small to Medium-Sized Businesses
    3. Use Cases and Misconceptions of AI
    4. Data Security and Privacy

    Timestamps:
    01:35 About Barak and Cisco
    05:44 AI innovation concentrated in big tech companies.
    07:14 Large language models can revolutionize customer interactions.
    12:01 ChatGPT fluency doesn't guarantee accurate information.
    13:41 Considering use cases over two dimensions
    18:16 OLM is good fit for specific industries.
    21:17 Emphasizing the importance of large language models.
    23:20 Maintaining control over unique AI model elements.
    28:50 Questioning the data use in large models.
    31:27 Barak discusses leveraging AI for various use cases.
    33:50 Industry leader shared great insights on AI.

    Keywords:
    AI, Large Language Models, Jordan Wilson, Barak Turovsky, Cisco, Google Translate, Transformer Technology, Generative AI, Democratization of Access, Customer Satisfaction, Business Productivity, Business Disruption, Internet Search, Sales Decks, Scalable Businesses, Fluency-Accuracy Misconception, AI Use Cases, Data Privacy, Data Security, Model Distillation, Domain-Specific AI Models, Small AI Models, Gargantuan AI Models, Data Leverage, AI for Enterprises, Data Selling, Entertainment Use Case, Business Growth, Professional Upskilling, AI Newsletter.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

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    Christine Bennet-Clark and Podcasting with ChatGPT – PTC 459

    Christine Bennet-Clark and Podcasting with ChatGPT – PTC 459

    SHOULD YOU BE PODCASTING WITH CHATGPT?

    In episode 430, we discussed why ChatGPT means you matter even more today.

    WHAT IS CHATGPT?

    As a recap, Your podcast cannot simply be information. ChatGPT has nearly all the information anyone could ever need.

    An oversimplified explanation of Chat GPT is that it uses artificial intelligence like Siri on your iPhone or your Alexa smart speaker. It is just much more powerful.

    GPT is short for Generative Pretrained Transformer.

    ChatGPT is an artificial intelligence chatbot developed by OpenAI. They are a startup based in San Francisco. The company was co-founded in 2015 by Elon Musk and Sam Altman.

    In regular language, the tool is like Alexa on steroids. It is capable of taking inputs from users and producing human-like responses. The thing that makes it different is the ability of ChatGPT to learn and adjust according to the conversation.

    This new artificial intelligence tool can serve up the exact same information you are delivering. Only ChatGPT does it in less time.

    Let's say you teach how to write code for computers. I can ask ChatGPT how to write computer code. ChatGPT can now only write code, it can debug it.

    THE DANGERS OF CHATGPT

    There are concerns when it comes to using ChatGPT to create your podcast or content. It isn't perfect. And, some organizations are concerned the content isn't truly your creation.

    According to PublishYourPurpose.com, one of the biggest concerns for using AI for content creation is the risk of plagiarism.

    ChatGPT uses the internet to generate a response to prompts by scouring the internet. But, there's no real way to know exactly where the source material comes from.

    If you use it as is, you could be plagiarizing others without even realizing it.

    When it comes to creating stories, MakeUseOf.com says ChatGPT will create typical storylines. The bot will usually follow plots and themes similar to the books that trained it even when you ask for something unique.

    The Guardian and Fortune recently reported that a group of news organizations have blocked the ability for ChatGPT to access their content.

    In fact, OpenAI now lets you block the bot from scraping your website. Scraping is the activity that help train GPT models.

    According to TheVerge.com, OpenAI said website operators can specifically disallow its GPTBot crawler on their site’s Robots.txt file or block its IP address.

    THE BENEFITS

    Most any resource can be used for good or bad. Like many tools, there are also many benefits to using ChatGPT for your podcast.

    When you do it right, ChatGPT can help you create and refine powerful content.

    The prompts can help you with topic ideas, intro framing, and show notes.

    There are many other beneficial ways to use ChatGPT. That's why I've invited Christine Bennet-Clark on the show today to help us discover the best way to use ChatGPT for our shows.

    CHRISTINE BENNET-CLARK

    Christine Bennet-Clark is a leading expert in integrating ChatGPT into the coaching realm. With a deep understanding of both the coaching industry and the capabilities of ChatGPT, she specializes in empowering coaches to harness the potential of this cutting-edge technology.

    Through tailored workshops and bootcamps, Christine offers hands-on training, ensuring coaches can seamlessly incorporate ChatGPT into their practices.

    Additionally, her Done-For-You (DFY) services provide a hassle-free solution for those looking to fully embed ChatGPT into their business operations without the heavy lifting.

    With Christine's guidance, the fusion of coaching and AI becomes not just feasible, but transformative.

    She joins us on this episode to help us discover the best ways to use ChatGPT with our podcast and content creation.

    Get Christine's guide at www.PodcastTalentCoach.com/chat.

    LET'S CONNECT

    If you don't have a mentor who can take your hand and walk you every step of the way, go to www.PodcastTalentCoach.com/apply, click the button and apply to have a chat with me. We will develop your plan and see how I can help and support you to achieve your podcast goals.

    Podcast Talent Coach
    en-usSeptember 24, 2023