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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 2023Pódcast · 2 vocesA Dinner-Plate Chip Cut Training From 60 Days to 3.5Presenta: 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 ago 2023PódcastOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListPresenta: 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.
10:22ENMatthew Berman· 4 ago 2023Matthew Berman on Llama 2, AI Tools, Robots, and the LK-99 ClaimMatthew Berman · Forward FutureA 2023 AI news roundup covers open-weight models, synthetic influencers, tool use and robotics, alongside an early superconductivity claim that later research challenged.
12:20ENMatthew Berman· 10 jul 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 jun 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 jun 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 jun 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 jun 2023PódcastFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductPresenta: Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.
10:23ENMatthew Berman· 15 jun 2023Testing Hosted Falcon 40B and Document Chat in h2oGPTMatthew Berman · Forward FutureMatthew Berman tries H2O.ai’s 2023 hosted Falcon 40B interface on coding, writing and reasoning prompts, then demonstrates document chat.
19:38ENMatthew Berman· 9 jun 2023Orca: Teaching a Smaller Model with GPT-4 ExplanationsMatthew Berman · Forward FutureMatthew Berman reviews Microsoft Research’s 2023 Orca paper and its approach to training a 13-billion-parameter model on detailed teacher responses.
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Lex Fridman· 8 jun 2023Pódcast · 2 vocesZuckerberg showed up as Mark Elliott — then argued for many AIs, not oneInvitado: Mark Zuckerberg · Presenta: 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 jun 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.
8:51ENMatthew Berman· 2 jun 2023Falcon 40B: A 2023 Leaderboard Result and a Slow GPU TestMatthew Berman · Forward FutureMatthew Berman tries a quantized Falcon 40B Instruct checkpoint on a hosted GPU and finds useful output but slow generation.
11:42ENMatthew Berman· 31 may 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 may 2023PódcastA Wafer-Scale Chip So AI Stops Waiting on AmdahlPresenta: 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.
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20VC with Harry Stebbings· 17 may 2023Pódcast · 2 vocesEmad Mostaque on Open AI Models, National Data and the Race to DeployInvitado: Emad Mostaque · Presenta: 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 may 2023Pódcast · 2 vocesYann LeCun on Open AI Models, Safety and the Future of ResearchInvitado: Yann Lecun · Presenta: 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 abr 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 abr 2023Pódcast · 2 vocesA 6-Billion-Parameter Clone of ChatGPT’s Core TrickPresenta: 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 mar 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 mar 2023PódcastFreeze the eyes and the brain. Train only the optic nerve.Presenta: 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 mar 2023Pódcast · 2 voces30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language modelsPresenta: 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 2023Pódcast · 2 vocesWithout Open Source, Machine Learning Would Be Decades BehindPresenta: 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.Cargar másMostrando 24 de 167