Quadratic: The AI Spreadsheet
David Kircos, co-founder of Quadratic, joined us for a lightning demo of their new spreadsheet that includes an AI assistant as well as native Python execution in cell! https://www.quadratichq.com/
Substack: https://latent.space/
X: https://x.com/latentspacepod
Chapters
00:00 Introduction and Guest Welcome
00:22 From Technical Spreadsheet to AI-Powered Tool
02:34 Product Demo: Features and User Experience
04:30 Interactive Analysis and Charting with AI
06:12 Formulas, Python, and Database Integrations
07:15 Performance, Architecture, and Technical Innovations
11:00 Collaborative BI and Data Engineering
11:47 AI Agents: Context, Implementation, and Future Directions
17:13 Customization, Visualization, and Content Creation
21:01 Real-Time Collaboration and Open Source Community
24:38 Future of Data Analysis: Python, JavaScript, and Human-AI Collaboration
27:38 Closing Thoughts and Call to Action
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![[LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models](https://i.ytimg.com/vi/TgLSYIBoX5U/mqdefault.jpg)
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![[Paper Club] 🍓 On Reasoning: Q-STaR and Friends!](https://i.ytimg.com/vi/Y5-FeaFOEFM/mqdefault.jpg)
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![[Paper Club] Writing in the Margins: Chunked Prefill KV Caching for Long Context Retrieval](https://i.ytimg.com/vi/VHwrhL_MSV4/mqdefault.jpg)
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![[Paper Club] Who Validates the Validators? Aligning LLM-Judges with Humans (w/ Eugene Yan)](https://i.ytimg.com/vi/4o_ic83U1Kw/mqdefault.jpg)
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Ep 18: Petaflops to the People — with George Hotz of tinycorp
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FlashAttention-2: Making Transformers 800% faster AND exact
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RWKV: Reinventing RNNs for the Transformer Era
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Generating your AI Media Empire - with Youssef Rizk of Wondercraft.ai
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RAG is a hack - with Jerry Liu of LlamaIndex
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The End of Finetuning — with Jeremy Howard of Fast.ai
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Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
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Powering your Copilot for Data - with Artem Keydunov from Cube.dev
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Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
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The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
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The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
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The AI-First Graphics Editor - with Suhail Doshi of Playground AI
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The Accidental AI Canvas - with Steve Ruiz of tldraw
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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 — with David Hsu of Retool
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Building an open AI company - with Ce and Vipul of Together AI
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Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
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A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
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Open Source AI is AI we can Trust — 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 — with Jungwon Byun and Andreas Stuhlmüller 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 — with Jason Liu of Instructor
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This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
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LLM Asia Paper Club Survey Round
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How to train a Million Context LLM — with Mark Huang of Gradient.ai
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How AI is Eating Finance - with Mike Conover of Brightwave
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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 — with Yi Tay of Reka
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Training Llama 2, 3 & 4: The Path to Open Source AGI — 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 🦙
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RLHF vs SFT to break out of local maxima 📈
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The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
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Segment Anything 2: Memory + Vision = Object Permanence — with Nikhila Ravi and Joseph Nelson
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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 🍓
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Finetuning LoRAs on BILLIONS of tokens 🤖
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Cursor UX team is CRACKED 💻
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Choosing the BEST OpenAI model 🏆
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How will OpenAI voice mode change API design?
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STEALING OpenAI models data 🥷
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[Paper Club] 🍓 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 📝
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Prompt Mining LLMs for better prompts ⛏️
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The six pillars of few-shot prompting 🔧
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Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
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[Paper Club] Who Validates the Validators? Aligning LLM-Judges with Humans (w/ Eugene Yan)
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Can you separate intelligence and knowledge?
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Chapters (12)
Introduction and Guest Welcome
0:22
From Technical Spreadsheet to AI-Powered Tool
2:34
Product Demo: Features and User Experience
4:30
Interactive Analysis and Charting with AI
6:12
Formulas, Python, and Database Integrations
7:15
Performance, Architecture, and Technical Innovations
11:00
Collaborative BI and Data Engineering
11:47
AI Agents: Context, Implementation, and Future Directions
17:13
Customization, Visualization, and Content Creation
21:01
Real-Time Collaboration and Open Source Community
24:38
Future of Data Analysis: Python, JavaScript, and Human-AI Collaboration
27:38
Closing Thoughts and Call to Action
🎓
Tutor Explanation
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