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5 diapositivas9:58EN
Matthew Berman· 2 ago 2024Abstract 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 & performanceIngeniería de agentes+2
1:07:05EN
Sequoia Capital· 16 jul 2024PódcastAlphaGo 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.AgentesIngeniería de agentesReinforcement Learning+3
1:16:22EN
Cognitive Revolution "How AI Changes Everything"· 9 jul 2024PódcastHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him AnywayPresenta: 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 optimizationIngeniería de agentes+3
59:11EN
Sequoia Capital· 25 jun 2024PódcastDon'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%.Agentes de programaciónIngeniería de agentesEvaluaciones+3
1:37:07EN
Cognitive Revolution "How AI Changes Everything"· 22 jun 2024PódcastA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.Presenta: 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.Modelos y entrenamientoAI in healthcareMultimodal AI+3
49:50EN
Sequoia Capital· 18 jun 2024PódcastUnconstrained 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.AgentesIngeniería de agentesAgent orchestration+3
Diapositivas1:00EN
Matthew Berman· 13 may 2024Andrew 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 agentsIngeniería de agentesMulti-agent systems
29:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 may 2024Pódcast · 2 vocesDevin Will Not Replace Engineers. It Will Multiply Them, Says Cognition’s Scott WuPresenta: 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.Agentes de programaciónIngeniería de agentesDeveloper productivity+3
4 diapositivas16:22EN
Matthew Berman· 2 may 2024Harrison 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
9 diapositivas19:09EN
Matthew Berman· 28 abr 2024OSWorld: Evaluating Computer-Use Agents in Real ApplicationsMatthew Berman · Forward FutureMatthew Berman explains the 2024 benchmark’s observation–action loop, task-specific checks and early results, with the limitations of its experimental setup.Computer useEvaluacionesBenchmarks+1
7 diapositivas13:59EN
Matthew Berman· 5 abr 2024SWE-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.Agentes de programaciónIngeniería de agentesFlujos de desarrollo y pruebas+2
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 28 mar 2024Pódcast · 2 vocesFrom a side project to 700 integrations: Harrison Chase on what still blocks agentsPresenta: 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.AgentesIngeniería de agentesAgent memory+3
42:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 mar 2024Pódcast · 2 vocesMeta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion QuestionPresenta: 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.Empresa y estrategiaAI StrategyIA empresarial+3
4 diapositivas55:29EN
Matthew Berman· 24 feb 2024Building 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 systemsIngeniería de agentesWorkflow automation+2
4:56EN
Cognitive Revolution "How AI Changes Everything"· 1 feb 2024PódcastIf the Mind Is a Tool, AI Looks Less Like a ThreatPresenta: Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.AgentesIngeniería de agentesKnowledge graphs+3
1:45:21EN
Cognitive Revolution "How AI Changes Everything"· 30 ene 2024Pódcast600,000 Attack Prompts, and Nearly 40% Still Pwned GPT-4Presenta: Nathan LabenzSander Schulhoff walks Nathan Labenz through the prompting habits that still work, the role-play myth that does not, and the global HackAPrompt contest that mapped how language models get hijacked.SeguridadPrompt injectionAI security+3
4 diapositivas15:11EN
Matthew Berman· 25 ene 2024Building a Transcript-to-Article Team in AutoGen StudioMatthew Berman · Forward FutureMatthew Berman configures a retrieval skill, two agents and a group workflow, then troubleshoots missing credentials and output.AgentesIngeniería de agentes
1:43:07EN
Cognitive Revolution "How AI Changes Everything"· 20 ene 2024PódcastAn Agent Posted Five Tweets — and 5,000 People Didn't NoticePresenta: Nathan LabenzMultiOn founder Div Garg walks Cognitive Revolution through what web agents can actually do in early 2024, what they cost, and why guardrails have to sit outside the model.AgentesIngeniería de agentesIngeniería de contexto+3
46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 18 ene 2024Pódcast · 2 vocesAfter a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the modelPresenta: Sarah Guo, Elad GilBeyang Liu on Cody, why keyword search still does most of RAG, and why CS fundamentals get more valuable as AI compresses the middleware.Agentes de programaciónGeneración aumentada por recuperaciónIngeniería de contexto+3
1:50:57EN
Cognitive Revolution "How AI Changes Everything"· 12 ene 2024PódcastTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry ExperimentPresenta: Nathan LabenzGabe Gomes and his Carnegie Mellon students built Coscientist, a language-model agent that plans, codes, and executes real experiments on a remote cloud lab.AgentesAI for scienceIngeniería de agentes+3
1:06:39EN
Unsupervised Learning: With Jacob Effron· 9 ene 2024PódcastOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsPresenta: Jacob EffronLogan Kilpatrick on picking GPT-3.5 versus GPT-4, why plugins stalled, and why the public internet is not ready for autonomous agents.Empresa y estrategiaAI StrategyPrompting & in-context learning+3
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· 2 dic 2023PódcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Presenta: Nathan LabenzImbue CTO Josh Albrecht tells Nathan Labenz how a 27-person, pre-product research company is putting $200 million and 10,000 H100s toward agents that can actually finish a long job.AgentesIngeniería de agentesReasoning & test-time compute+3
32:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 16 nov 2023Pódcast · 2 vocesFourteen People, $200 Million of Compute, and the Reliability Bottleneck for AgentsPresenta: Sarah Guo, Elad GilImbue co-founders Kanjun Qiu and Josh Albrecht on why agents fail, why language models cannot learn general algorithms, and why they are spending a giant round on GPUs rather than headcount.AgentesAgentes de programaciónIngeniería de agentes+3
1:14:48EN
Cognitive Revolution "How AI Changes Everything"· 8 nov 2023PódcastDevDay Probably Created Thousands of Startups, Says OpenAI's Logan KilpatrickPresenta: Nathan LabenzThe day after OpenAI's first developer conference, Dev Relations lead Logan Kilpatrick tells Nathan Labenz why thin wrappers were never companies, why agents were deliberately not shipped fully autonomous, and what $2 million custom models are for.Empresa y estrategiaProduct StrategyIngeniería de agentes+3
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