絞り込み結果
101 件並び順
1:42:56EN
Matthew Berman· 2024年11月12日Building 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.
1:02:04ENMatthew Berman· 2024年10月11日João Moura and Matthew Berman on Tesla’s Robotaxi Vision and Building AI AgentsMatthew Berman, João Moura, Elon Musk · Forward FutureA 2024 livestream examines Tesla’s Cybercab and Optimus announcements, then turns to CrewAI, enterprise agent workflows and a small model comparison.
48:31EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年9月19日ポッドキャスト · 2 人A Call Center Contact Costs $13. A Company Agent Can Do It for Under a Dollarホスト 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.
5:50ENMatthew Berman· 2024年7月27日A Mixture-of-Agents Demo Using Groq and StreamlitMatthew Berman · Forward FutureMatthew Berman walks through a 2024 Groq-powered multi-agent project, from setup to inspecting its layered responses.
11:20ENMatthew Berman· 2024年7月1日Matthew Berman Adapts Mixture of Agents to Groq InferenceMatthew Berman · Forward FutureA 2024 tutorial changes an open-source multi-model ensemble to use Groq, then tests its interactive output and fixes a streaming error.
49:50EN
Sequoia Capital· 2024年6月18日ポッドキャストUnconstrained 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.
16:22ENMatthew Berman· 2024年5月2日Harrison 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.
1:21:50EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月14日ポッドキャストA 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.ホスト Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.
38:07ENMatthew Berman· 2023年10月26日AutoGen 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.
1:25:11ENCognitive Revolution "How AI Changes Everything"· 2023年10月26日ポッドキャスト105 lines of code, a million impressions, and a VC who refused to found the companyホスト 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.
42:25ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年9月15日ポッドキャスト · 2 人The Transformer Co-Author Who Wants to Give AI a Walletホスト Sarah Guo, Elad GilIllia Polosukhin, co-author of Attention Is All You Need and co-founder of NEAR, argues that a blockchain account turns a language-model agent into an economic actor that can hire people and other AIs.
1:45:46ENCognitive Revolution "How AI Changes Everything"· 2023年8月4日ポッドキャストReplit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring Botsホスト Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.
1:40:44ENCognitive Revolution "How AI Changes Everything"· 2023年7月19日ポッドキャストGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4ホスト Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.
8:02ENMatthew Berman· 2023年6月5日Installing and Testing SuperAGI's Agent InterfaceMatthew Berman · Forward FutureIn a 2023 walkthrough, Matthew Berman sets up a Docker-based agent framework and watches an agent search for and save AI video ideas.
1:21:06ENCognitive Revolution "How AI Changes Everything"· 2023年4月27日ポッドキャストEveryone Talks About RLHF. Almost Nobody Is Doing It.ホスト Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.
7:53ENMatthew Berman· 2023年4月4日HuggingGPT: Using a Language Model to Coordinate AI ToolsMatthew Berman · Forward FutureMatthew Berman explains a research system that routes multimodal tasks to specialist models using a language model as controller.
1:32:32EN
Lenny's Podcastポッドキャスト · 2 人Devin's Scott Wu on Building an AI Software Engineer and Turning Coders into Architectsゲスト Scott Wu · ホスト Lenny RachitskyThe Cognition co-founder explains how his 15-person team uses fleets of Devins to build Devin, what the product can and can't do, and why he expects more engineers, not fewer.
1:11:47EN
Unsupervised Learning: With Jacob EffronポッドキャストThe Three-Hour Battlefield: Rahul Vohra on Why Email Survives and Agents Will Inherit the Inboxホスト Jacob EffronSuperhuman's CEO explains how AI features are designed, why email addresses remain company infrastructure, and how agents may federate across the tools professionals live in.
1:42:11ENLenny's PodcastポッドキャストTwenty Agents, 1.2 Humans: Inside SaaStr's AI-Run Sales Teamホスト Lenny RachitskyJason Lemkin explains how SaaStr replaced a ten-person go-to-market team with AI agents, what it took to train them, and who survives the shift.
1:46:35ENLenny's PodcastポッドキャストHire Your Agents Like Employees: Claire Vo's Field Guide to Running Nine OpenClawsホスト Lenny RachitskyClaire Vo explains how she went from losing her family calendar to OpenClaw to running a team of specialized agents across her business, podcast, course and household.
1:19:39ENLenny's PodcastポッドキャストEngineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 Monthsホスト Lenny RachitskyThe head of engineering for OpenAI's API and developer platform describes life with Codex, how management is changing, and why builders should aim for where the models are going.