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16:57EN
Matthew Berman· 30 sept 2024Jensen Huang and Marc Benioff on AI Agents and the Future of ComputingMatthew Berman, Jensen Huang, Marc Benioff · Forward FutureMatthew Berman comments on a 2024 Dreamforce discussion about agent collaboration, training, safety, and making AI tools practical.AI agentsIngeniería de agentesModelos y entrenamiento+2
48:31EN
No Priors: AI, Machine Learning, Tech, & Startups· 19 sept 2024Pódcast · 2 vocesA Call Center Contact Costs $13. A Company Agent Can Do It for Under a DollarPresenta: 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.AgentesIngeniería de agentesCustomer support automation+3
2:03:55EN
Cognitive Revolution "How AI Changes Everything"· 18 sept 2024PódcastThe More You Constrain an Agent, the More You Can Trust ItPresenta: 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.AgentesIngeniería de agentesWorkflow automation+3
1:12:31EN
Sequoia Capital· 27 ago 2024PódcastA 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.AgentesIngeniería de agentesEvaluaciones+3
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
5 diapositivas19:46EN
Matthew Berman· 15 abr 2024Building a CrewAI Financial-Analysis Team on Lightning AIMatthew Berman · Forward FutureMatthew Berman demonstrates a 2024 two-agent workflow, first using Groq and then connecting a cloud-hosted Ollama model.Ingeniería de agentesMulti-agent systemsFlujos de desarrollo y pruebas+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
4 diapositivas14:58EN
Matthew Berman· 30 mar 2024OpenDevin’s Early Coding Agent: A 2024 Installation and DemoMatthew Berman · Forward FutureMatthew Berman installs an early open-source coding-agent project and tries a calculator and a simple web page, while encountering setup and browser issues.Agentes de programaciónIngeniería de agentesSoftware engineering+1
2 diapositivas23:47EN
Matthew Berman· 29 mar 2024Andrew Ng’s Four Agentic Workflow Patterns, Explained by Matthew BermanMatthew Berman, Andrew Ng · Matthew BermanReflection, tools, planning and collaboration can turn a single model response into an iterative workflow, with reliability and cost tradeoffs.Ingeniería de agentesMulti-agent systemsBenchmarks+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
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