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30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 9월 7일팟캐스트 · 2명A Dinner-Plate Chip Cut Training From 60 Days to 3.5진행자 Sarah Guo, Elad GilCerebras CEO Andrew Feldman tells No Priors why wafer-scale silicon, not another GPU, is the answer to the compute crunch — and why most production models will stay at 13 billion parameters or below.인프라와 배포InferenceAI cost & performance+3
52:48EN
Cognitive Revolution "How AI Changes Everything"· 2023년 8월 25일팟캐스트OpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the List진행자 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.모델과 학습파인튜닝AI cost & performance+3
슬라이드 3장12:20EN
MBMatthew Berman· 2023년 7월 10일Testing UltraLM 13B: A Small Model’s Strengths and Reasoning ErrorsMatthew Berman · Forward FutureA 2023 local test finds useful writing and simple coding alongside failures in games, arithmetic and logic.Open-weight models평가(Evals)모델과 학습+1
슬라이드 3장8:17EN
MBMatthew Berman· 2023년 6월 22일Using OpenLLM to Serve Open Models Through an APIMatthew Berman · Forward FutureMatthew Berman demonstrates a local model server, its interactive API and a Python client in a 2023 walkthrough.Open-weight modelsInference인프라와 배포+1
슬라이드 7장4:36EN
MBMatthew Berman· 2023년 6월 20일Testing WizardCoder 15B as a Local Coding AssistantMatthew Berman · Forward FutureMatthew Berman runs the 2023 WizardCoder model locally, testing small Python exercises and a longer Snake game.모델과 학습Local inferenceSoftware engineering+2
59:28EN
Cognitive Revolution "How AI Changes Everything"· 2023년 6월 16일팟캐스트From $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced Product진행자 Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.모델과 학습파인튜닝Pretraining & midtraining+3
2:41:58EN
Lex Fridman· 2023년 6월 8일팟캐스트 · 2명Zuckerberg showed up as Mark Elliott — then argued for many AIs, not one게스트 Mark Zuckerberg · 진행자 Lex FridmanOn his second Lex Fridman podcast, the Meta CEO treats a disguised first jiu-jitsu tournament, an open research model called LLaMA, and a future of many agents as the same bet: ship before it is perfect, and do not build a single god model.기업과 전략Open-source ecosystemsOpen-weight models+3
슬라이드 2장10:40EN
MBMatthew Berman· 2023년 6월 7일Testing Nous Hermes 13B Locally: Mixed Reasoning and Unsafe ResponsesMatthew Berman · Forward FutureMatthew Berman compares a 2023 quantized model on hosted and local hardware, with uneven results across coding, logic and safety.Open-weight modelsLocal inferenceBenchmarks+1
슬라이드 4장11:42EN
MBMatthew Berman· 2023년 5월 31일Guanaco 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.파인튜닝QuantizationOpen-weight models+1
1:20:49EN
Cognitive Revolution "How AI Changes Everything"· 2023년 5월 25일팟캐스트A Wafer-Scale Chip So AI Stops Waiting on Amdahl진행자 Nathan LabenzAndrew Feldman, CEO of Cerebras, tells Nathan Labenz why one 2.5-trillion-transistor die, sparse linear algebra, and a 16-machine supercomputer are a better shape than a GPU cluster.인프라와 배포InferenceAI cost & performance+3
1:13:52EN
MBMatthew Berman· 2023년 4월 15일Andriy 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· 2023년 4월 6일팟캐스트 · 2명A 6-Billion-Parameter Clone of ChatGPT’s Core Trick진행자 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.모델과 학습Open-weight models파인튜닝+3
1:21:20EN
Cognitive Revolution "How AI Changes Everything"· 2023년 3월 9일팟캐스트Freeze the eyes and the brain. Train only the optic nerve.진행자 Nathan LabenzJunnan Li and Dongxu Li tell Nathan Labenz how BLIP cleaned noisy web captions, and how BLIP-2 connected a frozen vision model to a frozen language model in under ten days on one A100.멀티모달과 미디어Multimodal AI비전과 영상+3
53:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 3월 9일팟캐스트 · 2명30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language models진행자 Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.평가와 관측 가능성AI researchFoundation Models+3
37:26EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 2월 23일팟캐스트 · 2명Without Open Source, Machine Learning Would Be Decades Behind진행자 Sarah Guo, Elad GilHugging Face CEO Clem Delangue on the Tamagotchi pivot, why the company never hired a community manager, and why he does not believe one model will rule them all.오픈소스와 커뮤니티Open-source ecosystemsOpen-weight models+3
45:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 2월 16일팟캐스트 · 2명Emad Mostaque’s bet: open small models, not one giant brain진행자 Sarah Guo, Elad GilStability AI’s founder tells No Priors why foundation models should be public infrastructure, why small models can beat giant ones, and what that means for media, medicine, and AGI.오픈소스와 커뮤니티Open-weight modelsMultimodal AI+3
40:00EN
Unsupervised Learning: With Jacob Effron팟캐스트The Winds of Change: How Mistral Plans to Win the Open-Model Era진행자 Jacob EffronArthur Mensch explains Mistral's open-source strategy, enterprise distribution, model research, and views on AI regulation and sovereignty.기업과 전략Open-source ecosystemsAI Strategy+3
1:12:15EN
Unsupervised Learning: With Jacob Effron팟캐스트The Open-Model Vibe Check: China, Containment, and the Data Moat진행자 Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.오픈소스와 커뮤니티Open-weight modelsOpen-source ecosystems+3
45:27EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명The Agent State: How AI Flattened the Adversary Pyramid and Why Defenders Need Their Own Frontier Models진행자 Sarah Guo, Elad GilCrowdStrike CEO George Kurtz explains how low-skill attackers now wield nation-state tradecraft through AI agents, and how CrowdStrike and Nvidia are training security-specific models to fight back.보안과 안전AI security안전과 거버넌스+3
50:23EN
Unsupervised Learning: With Jacob Effron팟캐스트OpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence Arrives진행자 Jacob EffronPeter Welinder explains OpenAI’s platform strategy, the case for proprietary frontier models over open source, the enterprise hallucination problem, and his speculative timeline for AGI and superintelligence.기업과 전략AGI TimelinesAI Strategy+3
1:34:27EN
Lenny's Podcast팟캐스트 · 2명Matt Mullenweg on Open Source Ideals, the WP Engine Fight and Why Llama Isn't Really Open게스트 Matt Mullenweg · 진행자 Lenny RachitskyThe WordPress co-creator and Automattic CEO gives his side of the WP Engine dispute, explains his open source philosophy, and talks AI, community building and acquisitions with Lenny Rachitsky.오픈소스와 커뮤니티Open-source ecosystemsOpen-weight models+3
33:31EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Open Source Catches Up, Regulation Can Wait: Sarah Guo and Elad Gil Answer Listener Questions진행자 Sarah Guo, Elad GilTwo AI investors cover open-source models, autonomous agents, whether to regulate AI, where startups can win, and why healthcare innovation is so hard.기업과 전략Open-source ecosystemsOpen-weight models+3
1:17:31EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Image AI Is Still at the GPT-2 Stage: Suhail Doshi on Building a Unified Vision Model진행자 Nathan LabenzPlayground AI's founder explains why image generation has barely begun to deliver real utility, and why his team is betting 2024 on editing and a single model that can create, edit and understand pixels.멀티모달과 미디어Generative mediaMultimodal AI+3