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1:34:11EN
Cognitive Revolution "How AI Changes Everything"· 17 avr. 2024PodcastFrom forty hours in a scanner to one: reconstructing what you see from a shared brain spaceAnime : Nathan LabenzPaul Scotti explains how MindEye2 maps a new person's fMRI into CLIP with an hour of data, and why a linear layer plus better image generators changed the cost of reading minds.Multimodal et médiasBrain-Computer InterfacesNeuroscience & AI+3
1:27:01EN
Cognitive Revolution "How AI Changes Everything"· 8 avr. 2024PodcastThree Million Emails, Ten LLM Calls, Six Models: Shortwave's RAG PlaybookAnime : Nathan LabenzFirebase founder Andrew Lee walks Nathan Labenz through the retrieval stack that turned a Gmail inbox into a working AI assistant.RAG et connaissancesGénération augmentée par récupérationVector search+3
1:43:54EN
Cognitive Revolution "How AI Changes Everything"· 27 mars 2024PodcastFifteen Examples Can Poison GPT-4: Today's AI Systems Are Exploitable by DefaultAnime : Nathan LabenzFAR AI founder Adam Gleave walks through cheap jailbreaks in GPT-4's APIs and amateur-level wins against superhuman Go engines, and why robustness is not arriving on its own.SécuritéAI securitySécurité et gouvernance+3
31:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 22 févr. 2024Podcast · 2 voixBolt Memory onto GPT-4 and Cut Hallucinations by up to 50%Anime : 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.RAG et connaissancesGénération augmentée par récupérationVector search+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
1:22:43EN
Cognitive Revolution "How AI Changes Everything"· 9 janv. 2024PodcastFive billion minutes of calls: why Dialpad trained its own business LLMAnime : Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.Entreprise et stratégieIA vocaleIA en entreprise+3
1:21:50EN
Cognitive Revolution "How AI Changes Everything"· 14 nov. 2023PodcastA 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.Anime : 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.Modèles et entraînementSynthetic dataData quality & curation+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
1:32:40EN
Cognitive Revolution "How AI Changes Everything"· 31 oct. 2023PodcastThe Historian Who Taught GPT-3.5 to Beat GPT-4Anime : 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.RAG et connaissancesGénération augmentée par récupérationFine-tuning+3
1:17:09EN
Cognitive Revolution "How AI Changes Everything"· 26 sept. 2023PodcastGPT-4 as Teacher, GPT-3.5 as Student: A Nine-Tenths Cost Cut and an AI Bundle Nobody Will StartAnime : Nathan LabenzNathan Labenz reports that chain-of-thought traces from GPT-4 train a cheaper, faster 3.5, then argues for flooring the app accelerator, tapping the brake on GPT-5, and bundling a hundred AI tools for a hundred dollars.Entreprise et stratégieFine-tuningSynthetic data+3
2:32:49EN
Cognitive Revolution "How AI Changes Everything"· 12 sept. 2023PodcastGPT-4 Failed a Hollow Top Hat. Hollywood's AI Deal Closed Only Half the Loopholes.Anime : Nathan LabenzWriter Trey Kollmer returns with a strike update, a copyright briefing, and a riddle that still fools the best model.Entreprise et stratégieAI researchFine-tuning+3
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Cognitive Revolution "How AI Changes Everything"· 29 août 2023PodcastOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2Anime : Nathan LabenzAt Google I/O in May 2023, PaLM 2 arrived already running in more than two dozen products — and its lead product manager walks through what that actually took.Modèles et entraînementMultimodal AIÉvaluations+3
2 diapositives6:28EN
MBMatthew Berman· 29 août 2023A Historical GPT-3.5 Fine-Tuning WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates generating synthetic examples in Colab and training a model to use a distinctive tone.Fine-tuningSynthetic dataModèles et entraînement
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Cognitive Revolution "How AI Changes Everything"· 25 août 2023PodcastOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListAnime : Nathan LabenzNathan Labenz and Erik Torenberg walk through GPT-3.5 Turbo fine-tuning, why self-hosting still loses on total cost, and what is actually working in code, school, and medicine.Modèles et entraînementFine-tuningAI cost & performance+3
1:40:44EN
Cognitive Revolution "How AI Changes Everything"· 19 juil. 2023PodcastGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4Anime : Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.AgentsGénération augmentée par récupérationPrompting & in-context learning+3
59:28EN
Cognitive Revolution "How AI Changes Everything"· 16 juin 2023PodcastFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductAnime : Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.Modèles et entraînementFine-tuningPretraining & midtraining+3
4 diapositives11:42EN
MBMatthew Berman· 31 mai 2023Guanaco and QLoRA: A 2023 Fine-Tuning and Model TestMatthew Berman · Forward FutureMatthew Berman reviews the QLoRA paper, explains the reported memory savings and tries Guanaco 65B on an informal prompt set.Fine-tuningQuantizationOpen-weight models+1
1:25:35EN
Cognitive Revolution "How AI Changes Everything"· 21 mai 2023PodcastTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical SchoolAnime : Nathan LabenzVivek Natarajan walks Nathan Labenz through Med-PaLM and Med-PaLM 2: the data-light techniques, the nine-axis clinician evals, and why a high USMLE-style score is the wrong trophy.Modèles et entraînementAI in healthcareFine-tuning+3
42:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 18 mai 2023Podcast · 2 voixTen Percent of Search Is Health — and the Doctor Is Googling TooAnime : Sarah Guo, Elad GilGoogle researcher Karan Singhal on Med-PaLM 2, the real bar for medical language models, and why medicine is a harder alignment lab than chatbots.Modèles et entraînementAI in healthcareSécurité et gouvernance+3
37:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 4 mai 2023Podcast · 2 voixUse Retrieval for a Wi-Fi Password. Use Experts for a Company's Private Language.Anime : Sarah Guo, Elad GilGoogle Brain's Kelvin Guu on REALM, FLAN, model surgery, and why personalizing large models is still an unsolved interface problem.RAG et connaissancesGénération augmentée par récupérationFine-tuning+3
1:21:06EN
Cognitive Revolution "How AI Changes Everything"· 27 avr. 2023PodcastEveryone Talks About RLHF. Almost Nobody Is Doing It.Anime : Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.Produit et UXÉvaluationsObservabilité et fiabilité+3
1:13:52EN
MBMatthew Berman· 15 avr. 2023Andriy Mulyar on GPT4All, Data Quality and Open Local ModelsMatthew Berman, Andriy Mulyar · Forward FutureThe Nomic AI co-founder explains how GPT4All emerged, why training data matters, and the tradeoffs between local and centralized AI.Local inferenceOpen-weight modelsData quality & curation+2
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 6 avr. 2023Podcast · 2 voixA 6-Billion-Parameter Clone of ChatGPT’s Core TrickAnime : Sarah Guo, Elad GilDatabricks CTO Matei Zaharia tells Sarah Guo and Elad Gil how Dolly learned instruction-following on fifty times less data than GPT-3 — and why he would rather look facts up than bake them into a trillion-parameter network.Modèles et entraînementOpen-weight modelsFine-tuning+3
1:56:16EN
Cognitive Revolution "How AI Changes Everything"· 6 avr. 2023PodcastThey Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.Anime : Nathan LabenzOught's founders tell Nathan Labenz why open-ended reasoning has to be decomposed, supervised, and grounded—not scaled until it merely looks persuasive.RAG et connaissancesIngénierie d’agentsÉvaluations+3
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