Everyday AI Podcast – An AI and ChatGPT Podcast – Détails, épisodes et analyse

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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!

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Website: YourEverydayAI.com
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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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In today's episode, we're diving into the 7 most common mistakes people make while using large language models like ChatGPT.

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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
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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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Did you know OpenAI released a new model? The one fatal flaw of Elon's new Grok-2 that no one's talking about. What is it? And is it concerning that researchers are trying to create 'Personhood Credentials' to differentiate humans from AI pretending to be humans? We'll tackle those questions and more.  

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Topics Covered in This Episode:
1. Grok chat system flaw
2. Personhood credentials
3. World Labs' achievement
4. OpenAI’s updated GPT 4 model
5. Politics and AI

Timestamps:
04:19 GPT 4 Turbo and Flux 1 Integration Exciting.
07:41 Grok has impressive benchmarks, but significant drawbacks.
11:09 Personhood credentials for online identity verification.
14:56 Internet explosion from AI-human hybrid interaction. US election impact.
18:07 World Labs achieves unicorn status with $100M funding.
23:25 AI will increasingly impact and manipulate politics.
26:02 AI image generators make discerning reality difficult.
29:08 Use battleground to compare and improve model skills.
32:12 Ongoing updates, constant testing for AI models.
34:33 WorldLabs reaches $1B valuation, AI dominates news.

Keywords:
Grok chat system, cycle flaw, Jordan Wilson, OpenAI researchers, Microsoft, MIT, Harvard, personhood credentials, online AI deception, verify real humans, privacy, fake accounts, bot attacks, AI misinformation, US election, social media, human verification, GPT 4 update, AI chatbot rankings, Google's Gemini 1.5 pro, GPT 4.5, GPT 5, AI testing, chatbot arena, Grok 2, Elon Musk's XAI, WorldLabs, unicorn status, President Donald Trump, political AI campaigns.

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Bigger isn't always better. Today, we're giving you 14 essential facts about Small Language Models. You'll not only learn the difference between large and small language models, but you'll be able to slice through the jargon and be the language model expert in the room.

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Related Episodes:
Ep 204: Google Gemini Advanced – 7 things you need to know
Ep 223: Anthropic Claude 3 – Better Than ChatGPT and Google Gemini?

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
02:40 Exploring small language models vs large models.
03:42 Definition of small language models is changing.
08:49 Small language models are for specific purposes.
11:55 Small language models are faster and local.
14:45 Tim Cook announces new language model for devices.
21:25 2024 shift to smaller, focused language models.
27:56 RAG: Combining data, small language models' future.
28:52 Concern for large language models, potential for small models.

Topics Covered in This Episode:
1. Introduction to Language Models
2. Advantages and Usage of Small Language Models
3. Comparison of Small and Large Language Models
4. Future of Small Language Models

Keywords:
Large language models, Small language models, GPT-4, Gemini Ultra, PHY2, Llama, Parameters, Language translation, coding, Generating AI, GPT-5, MMLU, Speed, Efficiency, Fine-tuning, Maintenance, Copy-paste prompts, Chatbots, Search engines, Voice assistants, Hugging Face, Cloud-based services, Downloading models, Gemini Nano, NVIDIA's chat with RTX, RAG, Security, Privacy, Retrieval Augmented Generation

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ChatGPT is still the biggest and best AI chatbot in 2024. Yet so many people are still confused about the difference in modes. So, we're gonna tackle one of the biggest questions we get - what's the difference between the free version of ChatGPT and the paid version of ChatGPT Plus? 

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Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
02:15 Daily AI news
07:15 New updates with GPT-4 Turbo
13:18 ChatGPT still limited, information may be incomplete.
16:19 Paid account gets 40 messages every 3 hours.
17:18 Updated free 3.5 model faster, but still slow.
22:21 Efficiently complete multiple tasks within one chat.
24:57 Utilize ChatGPT for automating knowledge work.
28:26 Integration with Bing allows direct web connectivity.
33:27 Update: ChatGPT available without account.
38:02 Advantages of ChatGPT Plus
41:46 Copilot Pro enhances Microsoft 365 functionality for users.
42:46 Microsoft-centric tool, except for Teams integration.
48:57 GPT4 benchmarks old, still better than others.
51:42 PDF or GPT upload varies by performance.
54:31 ChatGPT upcoming features
56:25 Paid and free user input improves ChatGPT.

Topics Covered in This Episode:
1. Recent ChatGPT Updates
2. Free ChatGPT vs ChatGPT Plus
3. Limitations of Free ChatGPT
4.  Advanced Features of ChatGPT Plus
5. ChatGPT Plus vs Other Platforms
6. Speculations about Future Versions of ChatGPT

Keywords:
OpenAI, ChatGPT technology, GPT technology, free version of ChatGPT, paid version of ChatGPT, GPT-4 Turbo, UDO AI music generator, Suno, Amazon generative AI, Andy Jassy, Google Cloud event, enterprise AI models, AI integration in Google Meet, memory recall of ChatGPT, GPT tokens, custom GPTs, confidential documents, knowledge cut-off, ChatGPT 4 Turbo, large language models, integrations in ChatGPT, data analysis, code interpreter, OCR, DALL E image generator, Microsoft

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How should you view Artificial Intelligence? Can it be your new best friend, helping you with every task of your day? Or, could it be a legit nightmare and tech terror? Sheetal Rishi, AI Transformation Leader, joins us to help you understand the steps to take to make sure that Generative AI is more friend than foe.
 
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Related Episodes:
Ep 224:  AI and its Impact on Society: How it might look
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
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Timestamps:
01:20 Daily AI news
05:00 About Sheetal Rishi
09:24 AI adoption growing, democratization of technology capabilities.
12:26 Technology can generate answers from various sources.
14:28 AI infrastructure costs have decreased significantly.
19:16 Use machine for tasks, elevate your value.
22:57 Enterprises seek change, face resistance and innovation.
26:24 Emphasize enterprise-approved technology for faster data access.
27:53 AI must be embraced strategically to benefit.

Topics Covered in This Episode:
1. Evolution and democratization of AI technology
2. AI in the Corporate Sector
3. AI in Education and Skills
4. AI Integration in Daily Life
5. AI's Disruptive Influence

Keywords:
AI technology, evolution of AI, democratization of AI, electricity impact, individual AI adoption, enterprise AI adoption, data literacy, barriers to AI implementation, conversational systems, AI infrastructure cost, business transformation, Watson's AI success, AI potential threat, corporate challenges, GitHub Copilot, Power BI, Google's features, innovation in enterprise, enterprise education, job security, human and AI coexistence, change management, generative AI, legacy enterprises, fusion strategy, Tesla, artificial intelligence, machine learning, deep learning.

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Whether you're browsing social media or searching the web, there's so much bad advice out there about ChatGPT. We're cutting down the rumors about what ChatGPT is and how to use it. Here's a beginner's guide on knowing who to trust around Large Language Models.

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Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 109: LLM Showdown – ChatGPT, Bing Chat, Google Bard, Claude 2 and Perplexity

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
02:00 Daily AI news
05:45 Lots of bad info around ChatGPT
08:00 Comparing Copilot and ChatGPT as similar
11:45 ChatGPT generates diverse outputs from similar inputs
13:40 Comparison of human and ChatGPT writing styles
17:08 Stop sharing incorrect GPT technology usage screenshots
22:40 trained AI outperformed human.
27:35 Ignore exaggerated prompts, focus on authentic communication.
32:26 Words analyzed by OpenAI's tokenizer.
35:29 Free ChatGPT like landline, GPT4 like smartphone.
36:29 Zapier enables custom GPT, data integration, workflow.

Topics Covered in This Episode:
1. Overview of ChatGPT
2. Misconceptions around ChatGPT
3. Usage of Generic Business Prompts
4. Superiority of Large Language Models
5. Risks of Sole Reliance on Tools like ChatGPT with Bing

Keywords:
Chat GPT, ChatGPT Plus, GPT4, generative AI, large language models, NVIDIA GeForce RTX GPU, Free daily newsletter, outdated data, Bing, Jordan Wilson, Nike slogan writer, ChatGPT with Bing, SEO manipulation, Everyday AI podcast, GPU giveaway, US government semiconductor investment, copywriting, AI applications, custom-built ARM processor, Axion, Google Workspace, prime prompt polish chat GPT course, Lewis testimonial, business prompts, misleading information, refining large language model, tokenization of words, refine queue, zero-shot prompting, career growth.

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Is Google really going to charge money for AI search? Will job loss be so bad that we'll need to be saved by....big tech? And is AI music actually so good that the world's biggest musicians are worried? We'll be talking about that and more on Everyday AI's news that matters for the week of April 8, 2024.

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Related Episodes:
Ep 191: AI Search Takeover – The End of Traditional SEO + Web Browsing?
Ep 207: AI Will Allow Us All to Make Music We Enjoy

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
01:50 Google introducing AI search with new ad formats.
07:51 Startup seeks funding for integrating AI into devices.
11:54 Claude's new tool will change global usage.
15:09 Musicians and authors unite against AI threats.
18:59 OpenAI, copyright, and lawsuits in tech companies.
22:12 Major tech companies form AI workforce consortium.
28:02 AI transformative, impacting workforce; JPMorgan embraces evolution.
30:10 Companies shifting stance to embrace generative AI.

Topics Covered in This Episode:
1. Google's proposed idea of charging for AI-based search.
2. AI in the Music and Writing Industries
4. Big tech companies forming a consortium targeting job loss due to AI.
3. JPMorgan Chase’s new position on generative AI.

Keywords:
Jordan Wilson, Ken, large language models, VC money, Anthropic AI, Claude AI models, Opus model, AI music generation tools, Billie Eilish, Nicki Minaj, Katy Perry, James Patterson, Suzanne Collins, AI news, Google, AI-based search, search generative experience, Jony Ive, Sam Altman, OpenAI, JPMorgan Chase, generative AI, ChatGPT, tech industry, Spotify, Apple Podcasts, copyright law, lawsuit, Adobe, tech layoffs.

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If you're a fast-growing company needing to leverage all that Generative AI has to offer, the last thing you want is a vendor lock-in. Or, finding out the AI solution you thought you needed doesn't actually have the juice you need. One solution? Amazon Web Services (AWS). We sit down and talk all things AI models with Shruti Koparkar, Product Marketing Lead, AI/ML Acceleration at AWS.

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Related Episodes:
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Ep 232: Creating and Capturing Business Value with GenAI – Insights From HPE

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn

Timestamps:
01:20 About Shruti Koparkar and AWS
02:50 More on AWS and Generative AI
09:54 X-rated computing used to fine-tune models.
12:46 Adobe focused on AI tools, using AWS.
17:50 AI evolution and AWS preparedness for influx.
21:01 Experienced ARM engineer excited about NVIDIA's potential.
24:08 Identify use cases for small-scale applications.

Topics Covered in This Episode:
1. AWS and its Role in Generative AI
2. AWS and Foundation Models
2. AWS's Involvement with Companies Implementing Generative AI
4. Future Preparations of AWS for Generative AI Developments

Keywords:
generative AI, industry insider, Everyday AI, podcast, livestream, newsletter, AWS, Shruti Koparkar, product marketing, x rated computing, NVIDIA GPUs, Amazon Web Services, cloud computing, foundation models, Amazon Bedrock, API, Amazon SageMaker, customizing models, data security, ChatGPT, Perplexity, Amazon Code Whisperer, Adobe, ARM, Leonardo dot ai, apps, NVIDIA GTC conference, accelerated computing

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If I had to count, I probably use Generative AI at least 100 times a day.  Some are advanced. Some are super simple. I'm going to be sharing some of the simplest ways that I use Generative AI to create Everyday AI and tell you the ways that you can use my same tactics to start winning back time today.
 
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Related Episodes:
Ep 189: The One Biggest ROI of GenAI
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:30 Daily AI news
07:17 Knowledge workers adapt to succeed in AI era.
10:44 Behind the scenes of Everyday AI production.
18:21 Steal this method to learn about your career.
19:10 Customize Google search for efficient news updates.
23:01 Using shortcuts to gather information efficiently.
27:15 Using CastMagic and its features.
29:13 Automated transcription
33:57 Microsoft 365 Copilot helps with team work.
37:05 Addicted to Chrome, but now liking Edge.
40:20 Request to find specific generative AI statistics in PDF.
44:17 Chat prompt reused for specific AI training.
45:02 Optimize chat model use with refined method.
50:12 Use perplexity for efficient research queries, not Google.
52:03 Generative AI can save knowledge workers time.

Topics Covered in This Episode:
1. Practical uses of Generative AI
2. Tips for saving time using AI
3. Summarizing web pages for quick updates
4. Organizing and training ChatGPT for specific tasks

Keywords:
Microsoft 365 Copilot, Microsoft 365 Teams, Cast Magic, Chat GPT, Microsoft Edge, Chromium, Chrome Extensions, Copilot Integration, Perplexity, Google Search, Generative AI, McKinsey Digital, AI News, Amazon Web Services, Voila, Organizing Chat GPT, AI in Research, Custom Prompts, Knowledge Workers, New York City AI-powered Ch

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