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1:27:01EN
Cognitive Revolution "How AI Changes Everything"· 8 abr 2024PódcastThree Million Emails, Ten LLM Calls, Six Models: Shortwave's RAG PlaybookPresenta: Nathan LabenzFirebase founder Andrew Lee walks Nathan Labenz through the retrieval stack that turned a Gmail inbox into a working AI assistant.
1:23:09ENCognitive Revolution "How AI Changes Everything"· 3 abr 2024PódcastThe Right Size of an AI Task Is Whatever You Can CheckPresenta: Nathan LabenzElicit founders Andreas Stuhlmüller and Jungwon Byun walk through how a twelve-person research assistant cut summary hallucinations from 1.5 to 0.5, ships about every week and a half, and treats task decomposition as the way to spend more compute without a black box.
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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.
1:28:37ENCognitive Revolution "How AI Changes Everything"· 14 mar 2024PódcastTwelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup AroundPresenta: Nathan LabenzPablo Arredondo, co-founder of CaseText and now VP of CoCounsel at Thomson Reuters, traces legal research from 19th-century citators to a retrieval-anchored GPT-4 product that law firms treat more like a colleague than a search box.
42:14ENNo 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.
1:06:54ENCognitive Revolution "How AI Changes Everything"· 5 mar 2024PódcastGoogle Gives You 33 Million Results. Exa Wants 54.Presenta: Nathan LabenzWill Bryk, CEO of Exa, tells Nathan Labenz why search and research are different jobs, and why an AI librarian for the web has to be neural from the first filter.
1:32:19ENCognitive Revolution "How AI Changes Everything"· 29 feb 2024PódcastHis 2018 Prompting Paper Was Rejected. His Search API Now Beats GooglePresenta: Nathan LabenzRichard Socher traces You.com from a rejected unified NLP model to an LLM-native web index, three assistant modes, and a very low P(doom).
31:28ENNo Priors: AI, Machine Learning, Tech, & Startups· 22 feb 2024Pódcast · 2 vocesBolt Memory onto GPT-4 and Cut Hallucinations by up to 50%Presenta: Sarah Guo, Elad GilPinecone CEO Edo Liberty tells Sarah Guo and Elad Gil how RAG, serverless vectors, and keeping knowledge outside the model make LLMs more reliable.
42:07ENNo Priors: AI, Machine Learning, Tech, & Startups· 15 feb 2024Pódcast · 2 vocesNotion’s Ivan Zhao: RAG Will Make Organizing OptionalPresenta: Sarah Guo, Elad GilThe Notion CEO tells No Priors why he bet the company on GPT-4, why embeddings matter as much as agents, and why software is entering a bundling cycle.
46:36ENNo 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.
1:53:08ENCognitive Revolution "How AI Changes Everything"· 18 ene 2024PódcastWhen GPT-4 Writes SQL, Four Tables Is the Breaking PointPresenta: Nathan LabenzJuan Sequeda on why a knowledge graph is the accurate, explainable brain that foundation models do not have.
1:50:57ENCognitive 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.
27:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 7 dic 2023Pódcast · 2 vocesSeven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second InningPresenta: Sarah Guo, Elad GilClara Shih tells Sarah Guo and Elad Gil why Salesforce built a shared LLM platform, why data cleanup beats model shopping, and why AI is becoming the enterprise UI.
12:15EN
Matthew Berman· 21 nov 2023Build a Video-Transcript Chatbot with MindStudioMatthew Berman · Forward FutureIn a sponsored 2023 tutorial, Matthew Berman builds a no-code retrieval workflow that answers questions about one of his videos.
1:32:40ENCognitive Revolution "How AI Changes Everything"· 31 oct 2023PódcastThe Historian Who Taught GPT-3.5 to Beat GPT-4Presenta: Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.
38:07ENMatthew 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.
1:26:30ENCognitive Revolution "How AI Changes Everything"· 24 oct 2023PódcastMost of this data has never been in a database: Chroma's wartime CTO on RAGPresenta: Nathan LabenzAnton Troynikov returns to The Cognitive Revolution to argue that retrieval quality is mostly the embedding, that Chroma should own the RAG loop, and that GPT still fails a basic Game of Life test of reasoning.
32:14ENMatthew Berman· 20 oct 2023MemGPT: Managing LLM Memory Beyond a Fixed Context WindowMatthew Berman, Charles Packer, Vivian Fang · Forward FutureMatthew Berman reviews the 2023 research, demonstrates document retrieval and hears from authors Charles Packer and Vivian Fang about their plans.
1:19:52ENCognitive Revolution "How AI Changes Everything"· 18 oct 2023Pódcast1,000 H100s Take 115 Days; 22,000 Take FivePresenta: Nathan LabenzNathan Labenz and Trey Kollmer walk through cluster math that turns GPT-4-scale training into a weekly experiment, then four papers on search-augmented models, recursive code improvers, spatial maps inside Llama 2, and what networks do when they have no idea.
1:23:10ENCognitive Revolution "How AI Changes Everything"· 19 sept 2023PódcastLuxury Purses Under $500 Beat a Bank's Fraud ModelPresenta: Nathan LabenzArthur.ai CEO Adam Wenchel on boundary attacks, LLM firewalls, and why a model that eats raw text cannot be secured from the inside.
1:40:44ENCognitive Revolution "How AI Changes Everything"· 19 jul 2023PódcastGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4Presenta: Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.
9:55ENMatthew Berman· 14 jul 2023Building AI Characters With the a16z Companion AppMatthew Berman · Forward FutureMatthew Berman walks through a 2023 starter project for conversational characters, from service configuration and embeddings to editing a companion’s personality.
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20VC with Harry Stebbings· 30 jun 2023Pódcast · 2 vocesDouwe Kiela on Data, Retrieval and Enterprise AIInvitado: Douwe Kiela · Presenta: Harry StebbingsThe Contextual AI CEO discusses language model trade-offs, evaluation, open models and the hurdles to enterprise use.
59:36ENMatthew Berman· 27 jun 2023Pascal Pfeiffer on Retrieval, Open Models, Kaggle and Fine-Tuning with H2O LLM StudioMatthew Berman, Pascal Pfeiffer · Forward FutureIn a 2023 interview, H2O.ai’s Pascal Pfeiffer explains document retrieval and parameter-efficient fine-tuning, reflects on Kaggle competitions and demonstrates LLM Studio. He and Matthew Berman also consider coding assistants and unverified rumors about model architecture.Cargar másMostrando 24 de 67