๐ฌThere Is No AlphaFold for Materials โ AI for Materials Discovery with Heather Kulik
Materials science is the unsung hero of the science world. Behind every physical product you interact was decades of research into getting the properties of materials just right. Your gym clothes contain synthetic fibers developed over decades. The glass screen, diodes, and chip substrate technology needed to read this blog post were only viable due to many teams of material scientists.
Our guest Prof. Heather Kulik was one of the first material scientists to realize that there was alpha in combining computational tools with data driven modeling โ she did AI for science before it was cool. Shโฆ
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Ep 18: Petaflops to the People โ with George Hotz of tinycorp
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RWKV: Reinventing RNNs for the Transformer Era
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The End of Finetuning โ with Jeremy Howard of Fast.ai
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The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
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The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
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The Four Wars of the AI Stack - Dec 2023 Recap
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The State of AI in production โ with David Hsu of Retool
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Open Source AI is AI we can Trust โ with Soumith Chintala of Meta AI
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Making Transformers Sing - with Mikey Shulman of Suno
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A Comprehensive Overview of Large Language Models - Latent Space Paper Club
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Why Google failed to make GPT-3 -- with David Luan of Adept
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Personal AI Meetup - Bee, BasedHardware, LangChain LangFriend, Deepgram EmilyAI
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Supervise the Process of AI Research โ with Jungwon Byun and Andreas Stuhlmรผller of Elicit
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Breaking down the OG GPT Paper by Alec Radford
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High Agency Pydantic over VC Backed Frameworks โ with Jason Liu of Instructor
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This World Does Not Exist โ Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
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How To Hire AI Engineers (ft. James Brady and Adam Wiggins of Elicit)
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State of the Art: Training 70B LLMs on 10,000 H100 clusters
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The 10,000x Yolo Researcher Metagame โ with Yi Tay of Reka
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Training Llama 2, 3 & 4: The Path to Open Source AGI โ with Thomas Scialom of Meta AI
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[LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models
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Synthetic data + tool use for LLM improvements ๐ฆ
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RLHF vs SFT to break out of local maxima ๐
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The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
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Answer.ai & AI Magic with Jeremy Howard
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Is finetuning GPT4o worth it?
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Personal benchmarks vs HumanEval - with Nicholas Carlini of DeepMind
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Building AGI with OpenAI's Structured Outputs API
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Q* for model distillation ๐
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Finetuning LoRAs on BILLIONS of tokens ๐ค
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Cursor UX team is CRACKED ๐ป
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Choosing the BEST OpenAI model ๐
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How will OpenAI voice mode change API design?
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Ephemeral software FOR YOU ๐ป
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STEALING OpenAI models data ๐ฅท
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[Paper Club] ๐ On Reasoning: Q-STaR and Friends!
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[Paper Club] Writing in the Margins: Chunked Prefill KV Caching for Long Context Retrieval
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The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org
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llm.c's Origin and the Future of LLM Compilers - Andrej Karpathy at CUDA MODE
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Prompt Engineer is NOT a job ๐
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Prompt Mining LLMs for better prompts โ๏ธ
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The six pillars of few-shot prompting ๐ง
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Language Agents: From Reasoning to Acting โ with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
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DeepCamp AI