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48:18EN
Unsupervised Learning: With Jacob Effron· 2024년 12월 6일팟캐스트Noam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of Headroom진행자 Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.모델과 학습Reasoning & test-time computeAGI(범용 인공지능)+3
1:55:53EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 5일팟캐스트AI Beats Humans at Reading Papers. It Still Cannot Count Atoms.진행자 Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.에이전트AI for science검색 증강 생성(RAG)+3
1:27:33EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 3일팟캐스트A 70B Model Booked Dinner 20% of the Time. MultiOn Took It to 95% in a Day진행자 Nathan LabenzMultiOn CEO Div Garg returns to The Cognitive Revolution to recap 18 months of agent hype, the AgentQ stack, and why 2025 might still be the year of vertical agents.에이전트에이전트 엔지니어링Computer use+3
1:03:07EN
Sequoia Capital· 2024년 11월 26일팟캐스트Reasoning Hasn't Budged in Two Years. Dust Still Saved a Customer 8,000 HoursDust co-founders Gabriel Hubert and Stanislas Polu on multi-model agents, refusing to buy GPUs before product-market fit, and the jump from calculator tools to stochastic ones.에이전트에이전트 엔지니어링엔터프라이즈 AI+3
슬라이드 7장1:42:56EN
Matthew Berman· 2024년 11월 12일Building a Research and Writing Flow with CrewAIMatthew Berman, João Moura · Forward FutureMatthew Berman and CrewAI founder João Moura build and debug a two-crew workflow for planning and drafting educational articles.Agent orchestration에이전트 엔지니어링Multi-agent systems+2
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 10월 8일팟캐스트 · 2명Half of Production AI Is RAG. Fine-Tuning Almost Disappeared.진행자 Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.평가와 관측 가능성평가(Evals)검색 증강 생성(RAG)+3
1:09:09EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 2일팟캐스트30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually Think진행자 Nathan LabenzAlistair Pullen tells Latent Space how Cosine reconstructed human problem-solving, fine-tuned on billions of tokens, and took the top score on software engineering’s hardest public test.코딩 에이전트에이전트 엔지니어링파인튜닝+3
48:31EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 9월 19일팟캐스트 · 2명A Call Center Contact Costs $13. A Company Agent Can Do It for Under a Dollar진행자 Sarah Guo, Elad GilSierra cofounder and OpenAI chairman Bret Taylor tells No Priors why branded customer agents are shovel-ready, why RAG demos are not products, and how AI software should charge for the job done.에이전트에이전트 엔지니어링Customer support automation+3
2:03:55EN
Cognitive Revolution "How AI Changes Everything"· 2024년 9월 18일팟캐스트The More You Constrain an Agent, the More You Can Trust It진행자 Nathan LabenzAgent.ai engineering lead Andrei Oprisan tells Nathan Labenz why narrow, highly prescribed workflows beat open-ended autonomy — and how a 12-person team shipped a free agent network past 40,000 users in a few months.에이전트에이전트 엔지니어링Workflow automation+3
1:12:31EN
Sequoia Capital· 2024년 8월 27일팟캐스트A Bare Model Closes 35% of Airline Changes. Sierra's Agents Clear 70% of Real Tickets.Clay Bavor on why putting a raw LLM in front of customers does not math, and how AgentOS, supervisor agents, and outcome pricing change the arithmetic.에이전트에이전트 엔지니어링평가(Evals)+3
슬라이드 5장9:58EN
Matthew Berman· 2024년 8월 2일Abstract AI: A Proposed Routing Layer for Language ModelsMatthew Berman · Forward FutureMatthew Berman outlines a startup idea for choosing models and workflows by cost, speed and quality.Model routing & gatewaysAI cost & performance에이전트 엔지니어링+2
1:07:05EN
Sequoia Capital· 2024년 7월 16일팟캐스트AlphaGo Combined Learning and Search. Language Models Only Did the First Half.Reflection AI's Misha Laskin tells Sequoia why prompted coding agents stall in the teens, and why the missing piece is still a ground-truth reward.에이전트에이전트 엔지니어링Reinforcement Learning+3
1:16:22EN
Cognitive Revolution "How AI Changes Everything"· 2024년 7월 9일팟캐스트He Spent 20 Hours Crafting a Prompt. DSPy Beat Him Anyway진행자 Nathan LabenzSander Schulhoff walks through The Prompt Report — a 78-page survey of what actually works when you prompt large language models.Prompting & in-context learningPrompt optimization에이전트 엔지니어링+3
59:11EN
Sequoia Capital· 2024년 6월 25일팟캐스트Don't Train a Model. Factory's Founders Say Go Dig for GoldMatan Grinberg and Eno Reyes tell Sequoia's Training Data why they sell a fleet of job-specific droids on top of other people's models — and how that stack just took SWE-bench from 14% to 19%.코딩 에이전트에이전트 엔지니어링평가(Evals)+3
1:37:07EN
Cognitive Revolution "How AI Changes Everything"· 2024년 6월 22일팟캐스트A Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.진행자 Nathan LabenzGoogle researchers Vivek Natarajan and Khaled Saab walk Nathan Labenz through five medical-AI papers, from radiology reports to an AI doctor that still has to earn trust.모델과 학습AI in healthcareMultimodal AI+3
49:50EN
Sequoia Capital· 2024년 6월 18일팟캐스트Unconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.에이전트에이전트 엔지니어링Agent orchestration+3
슬라이드1:00EN
Matthew Berman· 2024년 5월 13일Andrew Ng on Four Agentic AI Design PatternsMatthew Berman, Andrew Ng · Forward FutureA short excerpt identifies reflection, tools, planning and multi-agent collaboration as approaches to building AI agents.AI agents에이전트 엔지니어링Multi-agent systems
29:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 5월 2일팟캐스트 · 2명Devin Will Not Replace Engineers. It Will Multiply Them, Says Cognition’s Scott Wu진행자 Sarah Guo, Elad GilThe IOI champion behind Devin explains why an AI software engineer that you can watch over the shoulder creates more human engineers, not fewer.코딩 에이전트에이전트 엔지니어링Developer productivity+3
슬라이드 4장16:22EN
Matthew Berman· 2024년 5월 2일Harrison Chase on Planning, Interface Design and Memory for AI AgentsMatthew Berman, Harrison Chase · Forward FutureThe LangChain CEO outlines open questions for agent builders, with commentary from Matthew Berman on oversight, workflows and memory.AI agentsAgent orchestrationAgent memory+2
슬라이드 7장13:59EN
Matthew Berman· 2024년 4월 5일SWE-agent Tutorial: Navigating Repositories and Attempting GitHub FixesMatthew Berman, Carlos · Forward FutureMatthew Berman sets up a research coding agent, hits an installation problem and a cost limit, then shows an author’s successful SymPy benchmark example.코딩 에이전트에이전트 엔지니어링개발 워크플로와 테스트+2
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 3월 28일팟캐스트 · 2명From a side project to 700 integrations: Harrison Chase on what still blocks agents진행자 Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.에이전트에이전트 엔지니어링Agent memory+3
42:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 3월 7일팟캐스트 · 2명Meta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion Question진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Gemini, Mistral, NVIDIA’s upgrade cycle, Klarna’s support bot, and why the real AI spend still sits with the hyperscalers.기업과 전략AI Strategy엔터프라이즈 AI+3
슬라이드 4장55:29EN
Matthew Berman· 2024년 2월 24일Building a CrewAI Newsletter Team: Scraping, Summarizing and DebuggingMatthew Berman, Joe · Forward FutureMatthew Berman builds a two-agent newsletter prototype, works through input and scraping errors, and shows what still needs to be fixed.Multi-agent systems에이전트 엔지니어링Workflow automation+2
4:56EN
Cognitive Revolution "How AI Changes Everything"· 2024년 2월 1일팟캐스트If the Mind Is a Tool, AI Looks Less Like a Threat진행자 Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.에이전트에이전트 엔지니어링Knowledge graphs+3
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