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AMD CEO Lisa Su on the GPU shortage, the AI revolution, and Nvidia | Decoder

AMD CEO Lisa Su on the GPU shortage, the AI revolution, and Nvidia | Decoder
At this year’s Code Conference, the CEO of one the world’s largest computer chip companies discusses competing with Nvidia’s leading GPU, AI regulation, and the global supply chain. Presented by @PolestarCars Read more: https://bit.ly/3ZEd5me 0:00 Intro 1:50 Interview 2:00 Lamini announcement 3:14 Chip market 5:24 CHIPS and Science Act 8:26 TSMC 8:50 Huawei seven-nanometer chip 10:11 Nvidia 13:40 CUDA and ROCm 15:44 PyTorch 18:03 Microsoft 18:50 Consumer prices and AI 20:55 Regulation 23:48 Gaming 24:24 Audience Q&A The Verge’s sponsors play an important role in funding our journalism, but do not influence editorial content. For more information about our ethics policy, visit https://www.theverge.com/ethics-statement. Subscribe: http://goo.gl/G5RXGs Like The Verge on Facebook: https://goo.gl/2P1aGc Follow on Twitter: https://goo.gl/XTWX61 Follow on Instagram: https://goo.gl/7ZeLvX Decoder Podcast: https://trib.al/iENzKtd The Vergecast Podcast: https://pod.link/430333725 The Vergecast on YouTube: https://www.youtube.com/thevergecast More about our podcasts: https://www.theverge.com/podcasts Read More: http://www.theverge.com Community guidelines: http://bit.ly/2D0hlAv Wallpapers from The Verge: https://bit.ly/2xQXYJr

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The AGI Moloch: Nash Equilibrium, Attractor States, and Heuristic Imperatives: How to Achieve Utopia

The AGI Moloch: Nash Equilibrium, Attractor States, and Heuristic Imperatives: How to Achieve Utopia
My Patreon: https://www.patreon.com/daveshap - Exclusive Discord - Consultations - Insider updates - Support my research, videos, and Open Source work My Homepage: https://www.daveshap.io/ - All my links - My books - Philosophy, etc

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AI, Synthetic Intelligence -

AutoGen Tutorial 🚀 Create Custom AI Agents EASILY (Incredible)

AutoGen Tutorial 🚀 Create Custom AI Agents EASILY (Incredible)
In this video, I show you how to use AutoGen, which allows anyone to use multi-agent LLMs to power their applications. First, I give an overview of what AutoGen is, and then I show you how to use it with two examples. Currently, AutoGen works with OpenAI's API, but they are already working on adding local models natively, and you can already do it through LiteLLM with a proxy server. Enjoy :) Become a Patron 🔥 - https://patreon.com/MatthewBerman Join the Discord 💬 - https://discord.gg/xxysSXBxFW Follow me on Twitter 🧠 - https://twitter.com/matthewberman Follow me on TikTok 👋 - https://www.tiktok.com/@matthewberman60 Subscribe to my Substack 🗞️ - https://matthewberman.substack.com Media/Sponsorship Inquiries 📈 - https://bit.ly/44TC45V Links: https://www.microsoft.com/en-us/research/blog/autogen-enabling-next-generation-large-language-model-applications/ https://github.com/microsoft/autogen https://microsoft.github.io/autogen/docs/Examples/AutoGen-AgentChat/

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AI, Synthetic Intelligence -

How to Brainstorm better than ChatGPT with Knowledge Graphs and GPT 4 | InfraNodus Tutorial

How to Brainstorm better than ChatGPT with Knowledge Graphs and GPT 4 | InfraNodus Tutorial
In this video, I demonstrate how you can develop your ideas using https://infranodus.com knowledge graphs and built-in GPT-4 AI. I'm using an example of "heart rate variability" as I'm currently working on an app and a wearable device that provides advanced insight into this health metric. The core of the approach is to use the AI for inspiration, instead of having it write content for you. The "Idea generation" app in #infranodus will suggest you begin by writing an idea you want to develop. It will then suggest some more ideas for you to get going. You can add some of the to the knowledge graph and once there are a few, InfraNodus will address the structural gap in your thinking and propose a new research question that can link the topics you did not link yet together in a new way. Try it out at https://infranodus.com Our support portal: https://support.noduslabs.com Timecodes: 0:00 Introduction 0:28 "Generate a new idea" app 1:20 How to process AI content 2:12 Using the knowledge graph to generate AI ideas 3:50 Make your own AI query 4:28 Elaborating an AI-generated idea 6:02 A big difference from using ChatGPT 7:23 "Human in the loop" AI 9:24 How to check if you're missing anything from your ideation process 10:30 Using the graph as a map to navigate your thinking process 15:42 Reveal non-obvious: slice off the knowns to get to the unknowns 18:11 Finding structural gaps in your thinking ... If you're interested in the topic itself and want to learn more about HRV and its relation to sympathetic and parasympathetic nervous systems, please, read this article on our website (which is inspired by this tutorial: https://noduslabs.com/research/how-to-measure-heart-rate-variability-hrv-using-fractals/

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AI, Synthetic Intelligence -

AutoGen - Build Custom AI Agents with Microsofts ai

AutoGen - Build Custom AI Agents with Microsofts ai
🌽 If you find kernels of wisdom here, consider subscribing for more insightful bites! 💖 Love Our Content? Here's How You Can Support the Channel: ☕️ Buy me a coffee: https://ko-fi.com/innoqube 📰 Stay in the loop! Subscribe to our newsletter: https://techfusion.beehiiv.com/subscribe ⚙️ My YouTube Gear: https://kit.co/InnoQube/ultimate-ai-creator-s-kit 📖 Video Chapters: 00:00 - Introduction 01:40 - AutoGen Demo

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