The Agent Network — Dharmesh Shah, Agent.ai + CTO of HubSpot
full writeup: https://latent.space/p/dharmesh
Hosted at Chroma: https://trychroma.com/
Timestamps
00:00 Introduction and Guest Welcome
02:29 Dharmesh Shah's Journey into AI
05:22 Defining AI Agents
06:45 The Evolution and Future of AI Agents
13:53 Graph Theory and Knowledge Representation
20:02 Engineering Practices and Overengineering
25:57 The Role of Junior Engineers in the AI Era
28:20 Multi-Agent Systems and MCP Standards
35:55 LinkedIn's Legal Battles and Data Scraping
37:32 The Future of AI and Hybrid Teams
39:19 Building Agent AI: A Professional Network for Agents
40:43 Challenges a…
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Chapters (23)
Introduction and Guest Welcome
2:29
Dharmesh Shah's Journey into AI
5:22
Defining AI Agents
6:45
The Evolution and Future of AI Agents
13:53
Graph Theory and Knowledge Representation
20:02
Engineering Practices and Overengineering
25:57
The Role of Junior Engineers in the AI Era
28:20
Multi-Agent Systems and MCP Standards
35:55
LinkedIn's Legal Battles and Data Scraping
37:32
The Future of AI and Hybrid Teams
39:19
Building Agent AI: A Professional Network for Agents
40:43
Challenges and Innovations in Agent AI
45:02
The Evolution of UI in AI Systems
1:00:25
Business Models: Work as a Service vs. Results as a Service
1:09:17
The Future Value of Engineers
1:09:51
Exploring the Role of Agents
1:10:28
The Importance of Memory in AI
1:11:02
Challenges and Opportunities in AI Memory
1:12:41
Selective Memory and Privacy Concerns
1:13:27
The Evolution of AI Tools and Platforms
1:18:23
Domain Names and AI Projects
1:32:08
Balancing Work and Personal Life
1:35:52
Final Thoughts and Reflections
Playlist
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The End of Finetuning — with Jeremy Howard of Fast.ai
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Powering your Copilot for Data - with Artem Keydunov from Cube.dev
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The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
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The Four Wars of the AI Stack - Dec 2023 Recap
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Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
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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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Ephemeral software FOR YOU 💻
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STEALING OpenAI models data 🥷
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Models can do MORE than what you ask for 🤖
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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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DeepCamp AI