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12:49EN
Matthew Berman· 14. Sept. 2023Falcon 180B: A 2023 Review of TII’s Open-Weight ModelMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and writing prompts while examining the model’s training scale and license.
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 7. Sept. 2023Podcast · 2 StimmenA Dinner-Plate Chip Cut Training From 60 Days to 3.5Moderation: 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.
52:48EN
Cognitive Revolution "How AI Changes Everything"· 25. Aug. 2023PodcastOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListModeration: 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.
12:20ENMatthew Berman· 10. Juli 2023Testing 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.
18:08ENMatthew Berman· 29. Juni 2023Six Language Models Compared on an Informal 2023 Prompt SetMatthew Berman · Forward FutureMatthew Berman tests coding, writing and reasoning with H2O GPT, finding a tie under a small and subjective rubric.
8:17ENMatthew Berman· 22. Juni 2023Using 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.
4:36ENMatthew Berman· 20. Juni 2023Testing 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.
59:28ENCognitive Revolution "How AI Changes Everything"· 16. Juni 2023PodcastFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductModeration: Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.
2:41:58EN
Lex Fridman· 8. Juni 2023Podcast · 2 StimmenZuckerberg showed up as Mark Elliott — then argued for many AIs, not oneGast: Mark Zuckerberg · Moderation: 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.
10:40ENMatthew Berman· 7. Juni 2023Testing 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.
11:42ENMatthew 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.
1:20:49ENCognitive Revolution "How AI Changes Everything"· 25. Mai 2023PodcastA Wafer-Scale Chip So AI Stops Waiting on AmdahlModeration: 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.
1:11:11EN
20VC with Harry Stebbings· 17. Mai 2023Podcast · 2 StimmenEmad Mostaque on Open AI Models, National Data and the Race to DeployGast: Emad Mostaque · Moderation: Harry StebbingsThe Stability AI co-founder describes his 2023 vision for open models, healthcare applications and AI businesses, alongside concerns about a speculative boom.
1:06:02EN20VC with Harry Stebbings· 15. Mai 2023Podcast · 2 StimmenYann LeCun on Open AI Models, Safety and the Future of ResearchGast: Yann Lecun · Moderation: Harry StebbingsMeta’s chief AI scientist discusses language models, research priorities and his contested views on AI risk and employment.
1:13:52ENMatthew Berman· 15. Apr. 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.
40:25ENNo Priors: AI, Machine Learning, Tech, & Startups· 6. Apr. 2023Podcast · 2 StimmenA 6-Billion-Parameter Clone of ChatGPT’s Core TrickModeration: 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.
8:05ENMatthew Berman· 29. März 2023A 2023 Guide to Running the Original GPT4All Model LocallyMatthew Berman · Forward FutureMatthew Berman demonstrates an early CPU-based GPT4All release, its terminal installation and the resources available for fine-tuning.
1:21:20ENCognitive Revolution "How AI Changes Everything"· 9. März 2023PodcastFreeze the eyes and the brain. Train only the optic nerve.Moderation: 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.
53:37ENNo Priors: AI, Machine Learning, Tech, & Startups· 9. März 2023Podcast · 2 Stimmen30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language modelsModeration: Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.
37:26ENNo Priors: AI, Machine Learning, Tech, & Startups· 23. Feb. 2023Podcast · 2 StimmenWithout Open Source, Machine Learning Would Be Decades BehindModeration: 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.
45:03ENNo Priors: AI, Machine Learning, Tech, & Startups· 16. Feb. 2023Podcast · 2 StimmenEmad Mostaque’s bet: open small models, not one giant brainModeration: 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.
40:00EN
Unsupervised Learning: With Jacob EffronPodcastThe Winds of Change: How Mistral Plans to Win the Open-Model EraModeration: Jacob EffronArthur Mensch explains Mistral's open-source strategy, enterprise distribution, model research, and views on AI regulation and sovereignty.
1:12:15ENUnsupervised Learning: With Jacob EffronPodcastThe Open-Model Vibe Check: China, Containment, and the Data MoatModeration: Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.
45:27ENNo Priors: AI, Machine Learning, Tech, & StartupsPodcast · 2 StimmenThe Agent State: How AI Flattened the Adversary Pyramid and Why Defenders Need Their Own Frontier ModelsModeration: 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.Mehr laden24 von 142 angezeigt