Everyday AI Podcast – An AI and ChatGPT Podcast

Latest Episodes:

EP 353: AI News That Matters - September 9, 2024 Sep 09, 2024

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Is Salesforce really starting over with AI? What's new inside of Claude Enterprise? And how did an AI safety startup raise $1 billion in just a few months? We bring you a high-level recap every Monday with the 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. Upcoming Apple Announcements
2. Replit AI Agent
3. Safe Super Intelligence Inc (SSI)
4. Claude Enterprise and partnership
5. Salesforce Developments
6. OpenAI Developments
Timestamps:
02:15 Apple unveils AI-powered iPhone 16, new products.
05:14 Apple bets on AI to drive iPhone upgrades.
07:34 Google enables natural language searches in Photos.
10:17 Replit's AI streamlines software development and deployments.
15:24 SSI focuses on AI safety, talent and compute.
19:25 Claude Enterprise offers customized pricing for businesses.
20:51 Prefer tiered pricing; don't recommend using Claude Enterprise.
25:16 Salesforce pivoting; OpenAI exploring high-priced subscriptions.
29:06 GPT Next announced, 100 times powerful, potential price increase.
Keywords:
Replit AI Agent, Safe Super Intelligence Inc, WorkLab Podcast, Claude Enterprise, Everyday AI Show, Apple Announcements, iPhone 16, Apple Intelligence, Siri, Google Update, Ask Photos AI Feature, Google's Gemini AI models, feedback, interaction, Claude Enterprise Pricing, Anthropic's strategy, Amazon's AI Marketplace, Bedrock, Salesforce Developments, Agent Force, Salesforce's Einstein AI, OpenAI Pricing Strategy, AI subscription models, Chat GPT Plus, Chat GPT Teams, GPT Next model, OpenAI Japan, KDDI Summit, one million downloads giveaway, youredailyai.com

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EP 352: 5 Things to Know About Meta's Llama 3.1 Sep 06, 2024

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Another one!? Another day, another HUGELY impactful model. Meta responds to OpenAI with a one-of-a-kind model in Llama 3.1 and the brand spankin new 405B model. What's it all mean? We gotchyu.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and questions on Meta
Related Episode:
Ep 318: GPT-4o Mini: What you need to know and what no one’s talking about
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. Highlights of Meta's New Model - Llama 3.1
2. Spotlight on the 405b model
3. Functionalities and User Interface Updates
4. Meta's Focus and Its Implication on AI and Business
Timestamps:
01:30 Daily AI news
06:30 Meta Model overviews
11:11 Free open source models, accessible with limitations.
16:20 Meta's quick product launches receive praise.
17:32 Llama 3 to 3.1 brings huge improvements.
20:11 AI advancements democratizing app development and deployment.
24:35 Meta's benchmarks indicate promising performance
30:15 Customizable large language model for specific tasks.
34:46 Mark Zuckerberg's influence on AI prominence evident.
37:33 Experts and knowledge will be replaced by models.
42:27 Typing in real time with Meta AI.
43:24 Creating testing questions for new model iterations.
48:11 New model requires less prompt engineering, delivers more.
51:10 Ranking answers, prompt techniques, standardized testing methods.
Keywords:
OpenAI, Llama 3.1, Google, Databricks, Snowflake, Microsoft, AWS, Dell, NVIDIA, Grok, IBM, model distillation, data generation, MMLU comparison, GPT 4 o Mini, 405 b release, sharing chat transcripts, ad retargeting, custom GPTs, AI agents, Mark Zuckerberg, Meta, metaverse, 8b model, 70b model, 405b model, MMLU benchmark score, Meta AI, edge devices, OpenAI vs Meta.

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EP 351: 3 Reasons Businesses Shouldn’t Use Anthropic's Claude (Yet) Sep 05, 2024

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Anthropic just announced Claude Enterprise. But, you shouldn't be using it. Yet. We'll tell you the 3 reasons that your company probably shouldn't be using Anthropic Claude.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Anthropic Claude
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. Features of Claude Enterprise
2. Criticism of Claude Enterprise
3. Enterprise AI Adoption Considerations
Timestamps:
02:00 Daily AI news
05:45 What is Claude Enterprise?
09:06 Discussing AI training and implementation for enterprises.
13:53 Large language models unsuitable for most enterprises.
15:06 Rogue users start, later enterprise formalizes use.
19:25 Build websites, apps easily with Claude AI.
21:05 Claude enables easy, no-code model customization.
24:31 Claude missed the mark for enterprise strategy.
28:07 OpenAI's limited rollouts vs. Claude's widespread releases.
33:43 Claude for enterprise with upcoming GitHub integration.
35:20 Microsoft 365 Copilot integration mostly limited to chat.
39:27 Claude 35 no longer top chatbot model.
42:29 Companies choose a large language model.
Keywords:
Scott White, AI implementation, custom pricing, enterprise customers, pricing strategy, transparency, product launch, competition analysis, Microsoft 365 Copilot, GPT-4, ChatGPT Enterprise, Google Gemini, Anthropic Claude, real-time data, large language models, no-code tool, enterprise go-to-market strategy, third-party integrations, Enterprise product, enterprise pricing, release announcement, Everyday AI podcast, AI news, Safe Superintelligence Funding, Michael Dell, AI demand, token capacity, collaboration tools, team control, private beta.

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EP 350: The Correct Ways To Give ChatGPT Access to the Internet Sep 04, 2024

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You're prolly doing this wrong. But when using ChatGPT and other LLMs, you've gotta understand how and when the models connect to the internet. You think you're getting up-to-date and accurate information. But you're probably not. We'll break it down and show you how to do it the right way.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on ChatGPT
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. Understanding ChatGPT's Internet Interfacing
2. Correct Usage of ChatGPT
3. Problems with Outdated Data in ChatGPT
4. Chain of Thought Prompting With ChatGPT
Timestamps:
02:15 Daily AI news
07:10 Getting access to the web in LLMs
09:25 Use Bing for current, accurate information. RefineQ process.
13:01 Large language models may be overly verbose.
18:55 Bing integration into conversation mode, quick feature.
19:44 Need to call browsing with Bing carefully.
24:49 Content ranking tricks reveal dirty search secrets.
29:18 Research recent LLM developments from August-September 2024.
31:32 Wide variety of sources yields better results.
34:29 Trend of 2024: Retrieval Augmented Generation, data connection.
37:55 Use Bing in chat GPT for URLs.
41:09 Stay vigilant, monitor GPT-3, control browsing.
Keywords:
ChatGPT, WebPilot, Internet-connected GPT, adapting GPT behavior, math problem solving, "browse with Bing", information retrieval, outdated information, incorrect information, relevant information, context window, AI University, thanks a million giveaway, Jordan Wilson, Everyday AI, AI news, Salesforce, Anthropic, Department of Justice, NVIDIA, OpenAI, prompt engineering, YouTube, Bing, old knowledge, large language models, training data, Microsoft, chain of thought prompting, patience in AI

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EP 349: AI News That Matters - September 3rd, 2024 Sep 03, 2024

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What is Orion from OpenAI? (You need to know) Are NVIDIA and Apple teaming up? (Kinda) Will Amazon finally be getting smarter soon? (Yes, but it might cost ya) Here's this week's AI news that matters!
Newsletter: Sign up for our free daily newsletter
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. OpenAI's Latest Development: Strawberry
2. Alexa's Upcoming AI Update
3. AI Regulation and Safety Measures
4. Google's Advancements in AI
Timestamps:
02:20 Amazon shifts to external AI expertise for Alexa.
03:54 Upcoming Alexa features and potential subscription model.
08:01 OpenAI's reliance on NVIDIA's GPUs for training its GPT models highlights tech industry interconnectedness. Apple integrates ChatGPT into iOS.
12:57 AI's ability to create real-time media.
14:25 Klarna plans workforce cut due to AI.
18:43 AI collaboration sparks government regulation discussions worldwide.
22:41 California bill 1047 shapes AI industry future
25:34 Google updates Gemini AI platform with GEMs.
29:24 Report on OpenAI's Project Strawberry and future implications.
30:58 Reportedly, OpenAI is developing advanced AI strawberry.
Keywords:
OpenAI, strawberry AI model, Orion, synthetic data, AI capabilities, market strategies, word games, regulatory compliance, ethical deployment, AI technologies, education sector, business sector, technology sector, marketing sector, customer service sector, Sam Altman, Amazon, Alexa, Anthropic's Claude AI model, AI-generated news summaries, child-focused chatbot, conversational shopping, NVIDIA, Apple, fundraising, ChatGPT, Jordan Wilson, AI safety, regulation, California's SB 1047, Google, GEMS feature, Imagine 3, base models, Game InGen, real-time gameplay, Doom, NVIDIA's GPUs, iOS platform, Jensen Huang, Klarna, job market, AI in marketing, AI in customer service, Large language model, AI development, AI performances, AI advances, subscription model, tech industry.

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EP 348: Large Language Model Best Practices - 7 mistakes to fix Aug 30, 2024

Show notes

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In today's episode, we're diving into the 7 most common mistakes people make while using large language models like ChatGPT.
Newsletter: Sign up for our free daily newsletter
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. Understanding the Evolution of Large Language Models
2. Connectivity: A Major Player in Model Accuracy
3. The Generative Nature of Large Language Models
4. Perfecting the Art of Prompt Engineering
5. The Seven Roadblocks in the Effective Use of Large Language Models
6. Authenticity Assurance in Large Language Model Usage
7. The Future of Large Language Models
Timestamps:
02:30 LLM knowledge cut-off
09:07 Models trained with fresh, quality data crucial.
10:30 Daily use of large language models poses risks.
14:59 Free chat GPT has outdated knowledge cutoff.
18:20 Microsoft is the largest by market cap.
21:52 Ensure thorough investigation; models have context limitations.
26:01 Spread, repeat, and earn with simple actions.
29:21 Tokenization, models use context, generative large language models.
33:07 More input means better output, mathematically proven.
36:13 Large language models are essential for business survival.
Keywords:
Large language models, training data, outdated information, knowledge cutoffs, OpenAI's GPT 4, Anthropics Claude Opus, Google's Gemini, free version of Chat GPT, Internet connectivity, generative AI, varying responses, Jordan Wilson, prompt engineering, copy and paste prompts, zero shot prompting, few shot prompting, Microsoft Copilot, Apple's AI chips, OpenAI's search engine, GPT-2 chatbot model, Microsoft's MAI 1, common mistakes with large language models, offline vs online GPT, Google Gemini's outdated information, memory management, context window, unreliable screenshots, public URL verification, New York Times, AI infrastructure.

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EP 347: Google's Gemini Gems - What they are and how they compare to custom GPTs Aug 29, 2024

Show notes

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Google silently released its answer to custom GPTs with its Gemini Gems. In short, Gems allows users to create a smaller or more customized version of their big model, Google Gemini.
↳ But how does it work?
↳ Is it any good?
↳ And how does it compare to ChatGPT's custom GPTs?
We bring you the answers.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Google Gemini
Related Episode: Ep 253: Custom GPTs in ChatGPT – A Beginner’s Guide
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. Comparison between GPTs and Gems
2. Features of Google Gems
3. Demo of Google Gems
Timestamps:
02:15 Daily AI news
03:47 High-profile organizations opt out of Apple's AI data collection.
7:00 Google Gemini Gems explained
12:21 Enable Google Gemini for all users and platforms.
14:30 GPT-4 chatbot leaderboard shows significant improvements.
18:55 Mixed feelings about inconsistent unique feature. Limited functionality.
21:50 Improve productivity with free PPP course. Visit podpp.com.
24:31 Use Google Workspace gems to search efficiently.
28:53 Google Gems failed to follow instructions effectively.
30:04 Evaluating text search for Google Docs efficiency.
34:11 Google Gems' ability to guide accurately needs improvement.
37:11 Google Gems may pull unwanted information, problematic.
41:57 Break down process into 5 steps.
43:57 Referencing Google Docs and sharing prompt.
46:05 Google gems are not as good as GPTs.
Keywords:
Google Gems, GPTs, OpenAI, Google Workspace, Google Gemini, Gmail, AI newsletter, ChatGPT, Google IO developer conference, custom gems, Google gem manager, Google account, Gemini 1.5 Pro, tech issues, Customer testimonial, Screen sharing, Live documents, Custom versions, Jordan Wilson, Nvidia earnings, Apple Bot Extended, AI training data collection, everyday AI, AI for daily practical use, AI experts, Instruction following, Admin console settings, Document access, Dynamic docs, GPT 4 Model.

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EP 346: AI Hype vs. Reality - Insights from EY Consulting Leader Aug 28, 2024

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95% of companies are investing in AI. Yet, adoption is still low. So is AI more hype, or is it foundational in the future of work? We’ll be tackling those questions with one of the world’s largest consulting firms, as EY’s Traci Gusher joins us.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Traci questions on AI
Related Episodes: Ep 331: Why Fear of AI is Stifling Adoption
Ep 206: There is No AI Hype – This is how the world works now
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. Importance of Data in AI Implementation
2. AI Education and Responsible AI Implementation
3. AI for Business Growth
4. Rethinking Business Processes Using AI
Timestamps:
01:35 Daily AI news
05:20 About Traci and EY
08:14 AI becoming integral in personal and professional lives.
13:16 Companies adopting generative AI for product innovation.
14:18 Organizations hesitant about using AI due to concerns.
18:21 Centralized data processes crucial for business success.
20:46 Organizations focus on innovation using generative AI.
25:28 Data governance crucial for quality and analysis.
27:14 AI master class educates boards on responsibility.
Keywords:
Tracey Gusher, AI, data lineage, data quality, data traversal, AI education, AI master class, responsible AI implementation, reimagining processes, revenue streams, data investment, Jordan Wilson, Everyday AI Show, generative AI, organizational sectors, value-driven AI, top growth, bottom growth, ChatGPT, experimentation, transformation, technology maturity, data maturity, data management, decentralization, data governance, automation, applied AI, analytics, good data.

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EP 345: Perplexity Explained - 5 Game-Changing Facts for Your Workflow Aug 27, 2024

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Perplexity is a game-changer for scaling your business. However, you might have some misconceptions about this AI powerhouse that are preventing you from maximizing its potential. We're here to share the essential 101 on Perplexity and highlight five key things you should know about it.
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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Perplexity
Related Episodes: Ep 271: OpenAI Releases GPT-4o: 12 things you need to know
Ep 301: Anthropic Claude 3.5 Sonnet – How it compares to ChatGPT’s GPT-4o
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. Overview of Perplexity
2. Differences Between Free and Paid Perplexity
3. Use Cases of Perplexity
4. View and Edit Sources Using Perplexity
5. Future Implications of Perplexity
Timestamps:
02:30 Perplexity overview
08:52 Many hours spent doing work on the open Internet.
13:56 Using perplexity to create custom instructions, responses.
15:16 Save time by curating and publishing content.
19:43 Decent options, limited internet connection, paid plans.
23:57 Live explanation and request for audience input.
25:02 Analyze company's and 3 competitors' insights
30:07 Check sneaker dunk, remove old or irrelevant sources.
32:36 Nike Air Jordans: SWOT analysis
39:08 Limit search to 5 websites at a time.
42:09 GPT-4o update competes with perplexity.
44:11 GPT-4o from OpenAI provides valuable customization options.
48:07 Website blocks scrapers to protect information.
50:16 Fewer clicks on websites, future in AI.
Keywords:
Jordan Wilson, Perplexity, paid version, free version, advanced models, GPT-4, OpenAI, Claude 3.5 SONET, AI images, SWOT analysis, Nike, Adidas Yeezy, Under Armour Curry, New Balance Kawhi, athletic shoe brands, fertility clinics, SEO, Chat GPT4, Perplexity features, large language models, research tools, online news scraping, controversy, search engine, Microsoft Copilot, Everyday AI, FBI, Russian bot farm, antitrust issues, Perplexity as answers engine.

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EP 344: AI News That Matters - August 26th 2024 Aug 26, 2024

Show notes

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What's the controversial Microsoft AI feature that's finally coming? Why are Google employees worried about their AI in the military's hands? And why is Silicon Valley fighting over this new AI bill in California? Here's this week's AI news that matters!
Newsletter: Sign up for our free daily newsletter
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. Google Employees' Concerns Over AI In Military
2. Salesforce's New AI Tools
3. New Bill on AI Regulation in California
4. Microsoft's Recall AI Feature Launch
5. Fortune 500 Companies and AI Risk
Timestamps:
02:00 DeepMind workers concerned about Google's military contracts.
03:59 New AI agents from Salesforce enhance sales.
07:03 Mixed opinions on California's AI bill impact.
13:05 California journalism bill prompts Google's response.
16:12 Recall feature captures screen, sparks privacy concerns.
21:10 AI threat to coding jobs drives upskilling.
24:18 AI news highlights: concerns, innovations, regulations, deals
Keywords:
Google DeepMind, AI in military, AI bill, Silicon Valley, Microsoft, AI feature, Everyday AI, AI news, AI research division, Israeli army, ethical implications, Salesforce, AI driven sales agent, sales efficiency, Einstein SDR agent, Einstein sales coach agent, California AI regulation, Safe and Secure Innovation for Frontier Artificial Intelligence Models Act, OpenAI, Anthropic, Jeffrey Hinton, artificial intelligence development, California Journalism Prevention Act, Microsoft recall, AI risk, Fortune 500 companies, SEC filings, AWS CEO, coding jobs, generative AI.

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