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1:27:33EN
Cognitive Revolution "How AI Changes Everything"· 3 déc. 2024PodcastA 70B Model Booked Dinner 20% of the Time. MultiOn Took It to 95% in a DayAnime : 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.AgentsIngénierie d’agentsComputer use+3
5 diapositives10:57EN
Matthew Berman· 16 nov. 2024Tracing a CrewAI Agent Workflow with LangtraceMatthew Berman · Forward FutureMatthew Berman builds a research-and-reporting crew, adds Langtrace, and inspects traces, token usage, timing and model costs.Ingénierie d’agentsÉvaluations et observabilitéAI cost & performance+1
1:09:09EN
Cognitive Revolution "How AI Changes Everything"· 2 oct. 2024Podcast30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually ThinkAnime : 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.Agents de codeIngénierie d’agentsFine-tuning+3
2:03:55EN
Cognitive Revolution "How AI Changes Everything"· 18 sept. 2024PodcastThe More You Constrain an Agent, the More You Can Trust ItAnime : 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.AgentsIngénierie d’agentsWorkflow automation+3
5 diapositives9:58EN
Matthew Berman· 2 août 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 & performanceIngénierie d’agents+2
1:16:22EN
Cognitive Revolution "How AI Changes Everything"· 9 juil. 2024PodcastHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him AnywayAnime : 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 optimizationIngénierie d’agents+3
1:37:07EN
Cognitive Revolution "How AI Changes Everything"· 22 juin 2024PodcastA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.Anime : 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.Modèles et entraînementAI in healthcareMultimodal AI+3
9 diapositives19:09EN
Matthew Berman· 28 avr. 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 useÉvaluationsBenchmarks+1
5 diapositives19:46EN
Matthew Berman· 15 avr. 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.Ingénierie d’agentsMulti-agent systemsWorkflows de développement et tests+1
4 diapositives14:58EN
Matthew Berman· 30 mars 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.Agents de codeIngénierie d’agentsSoftware engineering+1
4:56EN
Cognitive Revolution "How AI Changes Everything"· 1 févr. 2024PodcastIf the Mind Is a Tool, AI Looks Less Like a ThreatAnime : Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.AgentsIngénierie d’agentsKnowledge graphs+3
1:45:21EN
Cognitive Revolution "How AI Changes Everything"· 30 janv. 2024Podcast600,000 Attack Prompts, and Nearly 40% Still Pwned GPT-4Anime : 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.SécuritéPrompt injectionAI security+3
4 diapositives15:11EN
Matthew Berman· 25 janv. 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.AgentsIngénierie d’agents
1:43:07EN
Cognitive Revolution "How AI Changes Everything"· 20 janv. 2024PodcastAn Agent Posted Five Tweets — and 5,000 People Didn't NoticeAnime : 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.AgentsIngénierie d’agentsIngénierie du contexte+3
1:50:57EN
Cognitive Revolution "How AI Changes Everything"· 12 janv. 2024PodcastTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry ExperimentAnime : 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.AgentsAI for scienceIngénierie d’agents+3
1:06:39EN
Unsupervised Learning: With Jacob Effron· 9 janv. 2024PodcastOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsAnime : 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.Entreprise et stratégieAI StrategyPrompting & in-context learning+3
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· 2 déc. 2023PodcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Anime : 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.AgentsIngénierie d’agentsReasoning & test-time compute+3
1:14:48EN
Cognitive Revolution "How AI Changes Everything"· 8 nov. 2023PodcastDevDay Probably Created Thousands of Startups, Says OpenAI's Logan KilpatrickAnime : 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.Entreprise et stratégieProduct StrategyIngénierie d’agents+3
6 diapositives10:13EN
Matthew Berman· 28 oct. 2023Building a Business Chatbot with GPTBots.aiMatthew Berman · Forward FutureIn a sponsored 2023 walkthrough, Matthew Berman configures an assistant, adds business knowledge, corrects a response and builds a branching flow.AI agentsProduit et UXIngénierie d’agents+1
6 diapositives38:07EN
Matthew Berman· 26 oct. 2023AutoGen Advanced Tutorial: Configuration, Memory, Retrieval and ToolsMatthew Berman · Forward FutureMatthew Berman walks through the 2023 AutoGen interface for multi-agent configuration, caching, retrieval, teachable memory and function calls.Ingénierie d’agentsAgent orchestrationGénération augmentée par récupération+2
1:25:11EN
Cognitive Revolution "How AI Changes Everything"· 26 oct. 2023Podcast105 lines of code, a million impressions, and a VC who refused to found the companyAnime : Nathan LabenzBabyAGI creator Yohei Nakajima tells Nathan Labenz how a weekend prototype set off the agent wave — and why he went back to writing checks.AgentsIngénierie d’agentsAgent orchestration+3
4 diapositives7:02EN
Matthew Berman· 18 oct. 2023Connecting AutoGen to a RunPod-Hosted Model with Text Generation WebUIMatthew Berman · Forward FutureIn a 2023 walkthrough, Matthew Berman connects AutoGen to Dolphin 2.1 Mistral 7B through an OpenAI-compatible API and tests a small coding task.Ingénierie d’agentsOpen-weight modelsMulti-agent systems+2
5 diapositives15:03EN
Matthew Berman· 10 oct. 2023A 2023 AutoGen Tutorial: Local Agent Setup and Code ExecutionMatthew Berman · Forward FutureMatthew Berman builds a local assistant and user-proxy workflow, then tests how the agents generate and run Python. AutoGen’s packages and APIs have changed since this tutorial.Multi-agent systemsIngénierie d’agentsAgents de code+2
1:32:41EN
Cognitive Revolution "How AI Changes Everything"· 5 oct. 2023PodcastThere are maybe 5,000 people who can train frontier models. The rest need AI engineersAnime : Nathan LabenzSwyx of Latent Space tells Nathan Labenz how a new job is forming, why OpenAI will Sherlock its developers, and what still does not count as an agent.Entreprise et stratégieIngénierie d’agentsAgents de code+3
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