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AI, David Shapiro, Synthetic Intelligence -

GPT Prompt Strategy: Brainstorm, Search, Hypothesize, and Refine - THIS is the FUTURE!!

GPT Prompt Strategy: Brainstorm, Search, Hypothesize, and Refine - THIS is the FUTURE!!

 

 

 GitHub: https://github.com/daveshap YouTube Transcript Downloader: https://github.com/daveshap/YouTubeChapterGenerator BSHR Loop: https://github.com/daveshap/BSHR_Loop

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AI, Synthetic Intelligence -

New Research: ChatGPT Can Design Computer Chips Faster

New Research: ChatGPT Can Design Computer Chips Faster
Get 10% off your first month of therapy with our sponsor BetterHelp: https://betterhelp.com/anastasi TIMESTAMPS: 00:00 - Why to use ChatGPT for Chip Design? 01:26 - GPT for Chip Design Explained 06:13 - How to Train LLMs to Design Computer Chips 10:20 - Deepmind's Chip Designing AI Explained 12:10 - Other Companies & Stocks The Paper: https://arxiv.org/abs/2309.10730 👉 Support me at Patreon ➜ https://www.patreon.com/AnastasiInTech đŸ“© Sign up for my Deep In Tech Newsletter for free! ➜ https://anastasiintech.substack.com

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AI, Synthetic Intelligence -

Build AI agent workforce - Multi agent framework with MetaGPT & chatDev

Build AI agent workforce - Multi agent framework with MetaGPT & chatDev
Multi agent framework tutorial of MetaGPT & chatDev; Check the Hubspot x Jasper research of Using Generative AI to Scale Your Content Operations: https://offers.hubspot.com/generative-ai-for-content-operations?utm_source=youtube&utm_medium=social&utm_campaign=CR0087Sep2023_AIJason%2Fpartner_youtube  🔗 Links - Follow me on twitter: https://twitter.com/jasonzhou1993 - Join my AI email list: https://www.ai-jason.com/ - My discord: https://discord.gg/eZXprSaCDE - chatDev: https://github.com/OpenBMB/ChatDev/tree/main - MetaGPT: https://github.com/geekan/MetaGPT - Agentverse: https://github.com/OpenBMB/AgentVerse - Camel: https://github.com/camel-ai/camel ⏱ Timestamps 0:00 Agent intro 1:22 Multi agent frameworks 2:38 chatDev 3:45 Scale your content operation with AI 4:27 Setup chatDev 7:11 How to customise 9:19 Customise roles 9:53 Customise phases 11:50 Customise chatChain đŸ‘‹đŸ» About Me My name is Jason Zhou, a product designer who shares interesting AI experiments & products. Email me if you need help building AI apps! ask@ai-jason.com #metagpt #aiagents #agents #gpt #autogpt #ai #artificialintelligence #tutorial #stepbystep #openai #llm #largelanguagemodels #largelanguagemodel #chatgpt #gpt4 #machinelearning

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AI, Synthetic Intelligence -

What is generative AI and how does it work? – with Mirella Lapata

What is generative AI and how does it work? – with Mirella Lapata
How are technologies like ChatGPT created? And what does the future hold for AI language models? Subscribe for regular science videos: http://bit.ly/RiSubscRibe Donate to the Ri and help us bring you more scientific lectures: https://www.rigb.org/support-us/donate-ri Watch the Q&A: https://youtu.be/9i2x2HyeW-Y Generative AI refers to a type of artificial intelligence that involves creating new and original data or content. Unlike traditional AI models that rely on large datasets and algorithms to classify or predict outcomes, generative AI models are designed to learn the underlying patterns and structure of the data and generate novel outputs that mimic human creativity. ChatGPT is perhaps the most well-known example, but the field is far larger and more varied than text generation. Other applications of generative AI include image and video synthesis, speech generation, music composition, and virtual reality. In this lecture, Mirella Lapata will present an overview of this exciting—sometimes controversial—and rapidly evolving field. Mirella Lapata is professor of natural language processing in the School of Informatics at the University of Edinburgh. Her research focuses on getting computers to understand, reason with, and generate natural language. She is the first recipient (2009) of the British Computer Society and Information Retrieval Specialist Group (BCS/IRSG) Karen Sparck Jones award and a Fellow of the Royal Society of Edinburgh, the ACL, and Academia Europaea. This talk was filmed at the Royal Institution on 29th September 2023, in collaboration with the Alan Turing Institute. 00:00 Intro 2:38 Generative AI isn’t new – so what’s changed? 8:43 How did we get to ChatGPT? 12:38 How are Large Language Models created? 22:48 How good can a LLM become? 26:57 Unexpected effects of scaling up LLMs 28:05 How can ChatGPT meet the needs of humans? 32:30 Chat GPT demo 38:07 Are Language Models always right or fair? 40:21 The impact of LLMs on society 42:54 Is AI going to kill us all? -- A very special thank you to our Patreon supporters who help make these videos happen, especially: modsiw, Anton Ragin, Edward Unthank, Robert L Winer, Andy Carpenter, William Hudson Don McLaughlin, efkinel lo, Martin Paull, Ben Wynne-Simmons, Ivo Danihelka, Kevin Winoto, Jonathan Killin, Stephan Giersche, William Billy Robillard, Jeffrey Schweitzer, Frances Dunne, jonas.app, Tim Karr, Alan Latteri, David Crowner, Matt Townsend, THOMAS N TAMADA, Andrew McGhee, Paul Brown, David Schick, Dave Ostler, Osian Gwyn Williams, David Lindo, Roger Baker, Rebecca Pan -- The Ri is on Twitter: http://twitter.com/ri_science and Facebook: http://www.facebook.com/royalinstitution and TikTok: https://www.tiktok.com/@ri_science Listen to the Ri podcast: https://podcasters.spotify.com/pod/show/ri-science-podcast Our editorial policy: https://www.rigb.org/editing-ri-talks-and-moderating-comments Subscribe for the latest science videos: http://bit.ly/RiNewsletter Product links on this page may be affiliate links which means it won't cost you any extra but we may earn a small commission if you decide to purchase through the link.

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AI, Synthetic Intelligence -

GPT-4 Has Vision: I figured out what it could do

GPT-4 Has Vision: I figured out what it could do
Email Subscribers get the list: https://gregkamradt.ck.page/b6630af43e Outline 0:00 - Intro 1:16 - Describe 2:06 - Interpret 3:30 - Recommend 5:23 - Convert 7:23 - Extract 8:46 - Evaluate 10:45 - Assist 13:28 - Greg's Reflections Greg’s Info: - Twitter: https://tiny.one/VtxG3kC - Newsletter: https://tiny.one/9kkx2D0 - Website: https://tiny.one/QWsPKqX - LinkedIn: https://tiny.one/rzlQ1bB - Work with me: https://tiny.one/UVetE5r - Contact Me: Twitter DM, LinkedIn Message, or contact@dataindependent.com

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