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슬라이드 4장32:14EN
Matthew Berman· 2023년 10월 20일MemGPT: Managing LLM Memory Beyond a Fixed Context WindowMatthew Berman, Charles Packer, Vivian Fang · Forward FutureMatthew Berman reviews the 2023 research, demonstrates document retrieval and hears from authors Charles Packer and Vivian Fang about their plans.Agent memory컨텍스트 엔지니어링검색 증강 생성(RAG)+2
1:40:44EN
Cognitive Revolution "How AI Changes Everything"· 2023년 7월 19일팟캐스트Give the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4진행자 Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.에이전트검색 증강 생성(RAG)Prompting & in-context learning+3
슬라이드 3장7:05EN
Matthew Berman· 2023년 7월 2일Aider’s Early Coding Assistant: Snake and an Existing Rails ProjectMatthew Berman · Forward FutureMatthew Berman demonstrates the terminal tool’s 2023 workflow, from generating and iterating on a game to proposing a dependency change in a repository.코딩 에이전트개발 워크플로와 테스트Software engineering+1
1:47:05EN
Cognitive Revolution "How AI Changes Everything"· 2023년 7월 1일팟캐스트Edit Meaning, Not Tokens: Linus Lee on Latent-Space Interfaces진행자 Nathan LabenzThe Notion AI product lead walks Nathan Labenz through the interfaces, model autopsies, and agency questions behind his research prototypes.제품과 UXAI interface designProduct Strategy+3
슬라이드 2장5:11EN
Matthew Berman· 2023년 4월 25일AI Memory in 2023: Long Context, Retrieval and Recurrent MemoryMatthew Berman · Forward FutureMatthew Berman compares external agent memories with a recurrent-memory research experiment, and explains why longer context remains a limited result.Agent memory컨텍스트 엔지니어링Transformers & attention+1
17:22EN
Lenny's Podcast팟캐스트Don't Become a Software Factory: Why Context Is the Real Product진행자 Lenny RachitskyLinear CEO Karri Saarinen argues that as AI automates execution, product teams must protect the learning that makes great products possible.제품과 UXProduct StrategyProduct Leadership+3
1:36:57EN
Unsupervised Learning: With Jacob Effron팟캐스트Do the Dumb Thing First: A CTO's Playbook for Building an AI Coding Assistant진행자 Jacob EffronSourcegraph CTO Beyang Liu on which AI coding features actually earn daily use, how new models get shipped and evaluated, and why retrieval is still a search problem.코딩 에이전트평가(Evals)검색 증강 생성(RAG)+3
21:31EN
Lenny's Podcast팟캐스트Rowing or Steering: How Atlassian's PMs Became AI Builders진행자 Lenny RachitskyAtlassian CPO Tamar Yehoshua explains, through three internal projects, when product managers should write code and when they should guide the team.제품과 UXProduct ManagementAI Product Management+3
54:52EN
Unsupervised Learning: With Jacob Effron팟캐스트Coding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontier진행자 Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.코딩 에이전트에이전트 엔지니어링컨텍스트 엔지니어링+3
1:03:10EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Pause Tokens, Analogical Prompts and Ring Attention: A Tour of the Transformer's Next Upgrades진행자 Nathan LabenzNathan Labenz and Trey Kollmer walk through five recent papers on pausing, backspacing, prompting, streaming and long-context training, and sketch how they might combine into a more capable model.모델과 학습Transformers & attention머신러닝 기초+3