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245 件
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1:54:17EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月28日ポッドキャストMetaculus Flagged Covid in January 2020. Now It Is Putting AI on the Forecasting Deskホスト Nathan LabenzNathan Labenz talks with Metaculus CEO Deger Turan about epistemic security, a year-long bot tournament, and why a useful forecast is harder than an accurate one.評価とオブザーバビリティ評価(Evals)Benchmarks+3
1:12:31EN
Sequoia Capital· 2024年8月27日ポッドキャストA Bare Model Closes 35% of Airline Changes. Sierra's Agents Clear 70% of Real Tickets.Clay Bavor on why putting a raw LLM in front of customers does not math, and how AgentOS, supervisor agents, and outcome pricing change the arithmetic.エージェントエージェント工学評価(Evals)+3
スライド 2 枚9:43EN
Matthew Berman· 2024年8月26日Matthew Berman Tests Jamba 1.5 on Coding and Reasoning PromptsMatthew Berman · Forward FutureA 2024 hands-on test of AI21’s hybrid model finds slow output in one hosted session and mixed answers to a small set of prompts.モデルと学習評価(Evals)
スライド 6 枚15:24EN
Matthew Berman· 2024年8月13日Testing the Anonymous sus-column-r Model, Later Identified as Grok-2Matthew Berman · Forward FutureMatthew Berman tests a mysterious 2024 Arena model on coding and reasoning; its verbose answers prompted speculation about OpenAI that the later identification contradicted.モデルと学習評価(Evals)Reasoning & test-time compute+1
スライド 4 枚57:55EN
Matthew Berman· 2024年8月12日A First AI Livestream: Model Rumors, RAG, Agents, and Audience QuestionsMatthew Berman · Forward FutureMatthew Berman tests a livestream in August 2024 and answers viewers’ questions about AI tools, model evaluation, company knowledge, and future agents.AI agents検索拡張生成(RAG)評価(Evals)+2
スライド 5 枚12:17EN
Matthew Berman· 2024年8月7日Testing Gemini 1.5 Pro on Code, Reasoning, Images and VideoMatthew Berman · Forward FutureMatthew Berman compares standard and experimental Gemini versions in an informal 2024 review, finding mixed results and repeated output errors.Gemini評価(Evals)Multimodal AI+2
スライド 5 枚11:34EN
Matthew Berman· 2024年8月1日Testing Mistral Large 2: Coding, Reasoning and Safety in 2024Matthew Berman · Forward FutureMatthew Berman tests Mistral’s 123-billion-parameter model with small coding tasks, logic puzzles and ethical hypotheticals. The results are promising but narrowly scoped.Foundation Models評価(Evals)Open-weight models+2
42:08EN
Sequoia Capital· 2024年7月30日ポッドキャストMeta Trained a 405B Teacher on 16,000 GPUs — Then Told the World to Distill ItTwo days after Llama 3.1 405B shipped, Meta's generative-AI product lead walks Sequoia through why the most expensive model in the family is free, and why he thinks the frontier itself is heading toward commodity.オープンソースとコミュニティOpen-weight modelsDistillation+3
スライド 3 枚13:40EN
Matthew Berman· 2024年7月29日Testing Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.Open-weight models評価(Evals)モデルと学習+1
スライド 3 枚5:50EN
Matthew Berman· 2024年7月27日A Mixture-of-Agents Demo Using Groq and StreamlitMatthew Berman · Forward FutureMatthew Berman walks through a 2024 Groq-powered multi-agent project, from setup to inspecting its layered responses.Multi-agent systemsAgent orchestrationInference+1
スライド 5 枚10:02EN
Matthew Berman· 2024年7月24日Testing Llama 3.1 405B on Coding, Arithmetic and ReasoningMatthew Berman · Forward FutureMatthew Berman tries Meta's 2024 open-weight model on an informal set of prompts and demonstrates a sponsored dataset workflow.Open-weight modelsモデルと学習評価(Evals)+1
スライド 3 枚13:19EN
Matthew Berman· 2024年7月20日Testing GPT-4o Mini Against GPT-4o at LaunchMatthew Berman · Forward FutureMatthew Berman compares OpenAI's 2024 small model on coding, reasoning and image prompts, with a sponsored HP and Intel laptop segment.OpenAIFoundation Models評価(Evals)+1
25:56EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年7月11日ポッドキャスト · 2 人A Prompt Cannot Hold a Good Design: Six AI Practitioners at Midyear 2024ホスト Sarah Guo, Elad GilSarah Guo and Elad Gil stitch together clips from Stripe, Figma, Figure, OpenAI's Sora team, Cognition, and Scale into a half-year snapshot of what people actually shipping AI were willing to claim.企業と戦略AI Strategy評価(Evals)+3
1:16:22EN
Cognitive Revolution "How AI Changes Everything"· 2024年7月9日ポッドキャストHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him Anywayホスト Nathan LabenzSander Schulhoff walks through The Prompt Report — a 78-page survey of what actually works when you prompt large language models.Prompting & in-context learningPrompt optimizationエージェント工学+3
スライド 4 枚8:53EN
Matthew Berman· 2024年7月8日RouteLLM: Routing Queries Between Strong and Cheaper ModelsMatthew Berman · Forward FutureMatthew Berman explains a 2024 research framework that uses preference data to choose a model for each query.Model routing & gatewaysAI cost & performance評価(Evals)+2
59:11EN
Sequoia Capital· 2024年6月25日ポッドキャストDon't Train a Model. Factory's Founders Say Go Dig for GoldMatan Grinberg and Eno Reyes tell Sequoia's Training Data why they sell a fleet of job-specific droids on top of other people's models — and how that stack just took SWE-bench from 14% to 19%.コーディングエージェントエージェント工学評価(Evals)+3
スライド 6 枚10:57EN
Matthew Berman· 2024年6月24日Testing Claude 3.5 Sonnet: Coding, Reasoning, and VisionMatthew Berman · Forward FutureMatthew Berman puts Anthropic’s June 2024 model through informal coding, math, puzzle, and image-understanding prompts.評価(Evals)コーディングエージェントMultimodal AI+2
スライド 5 枚12:55EN
Matthew Berman· 2024年6月23日Testing Mixture-of-Agents on Coding, Arithmetic and ReasoningMatthew Berman · Forward FutureMatthew Berman tries a multi-model setup on his informal LLM rubric and finds strong individual answers alongside coding and counting failures.Multi-agent systemsモデルと学習評価(Evals)+1
1:37:07EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月22日ポッドキャストA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.ホスト Nathan LabenzGoogle researchers Vivek Natarajan and Khaled Saab walk Nathan Labenz through five medical-AI papers, from radiology reports to an AI doctor that still has to earn trust.モデルと学習AI in healthcareMultimodal AI+3
1:25:10EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月15日ポッドキャストA Tenth of Google's Index, 99.9% Recall: How 20 People Built Brave Searchホスト Nathan LabenzJosep M. Pujol walks Cognitive Revolution through Brave's privacy-first index, hybrid retrieval stack, and the Search API Nathan Labenz now wants his own product team to use.RAG とナレッジSearch & retrievalHybrid search+3
26:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月11日ポッドキャスト · 2 人Why a Zapier founder thinks AGI research has been stalled for four yearsホスト Sarah Guo, Elad GilMike Knoop and François Chollet put more than a million dollars on beating ARC-AGI, the eval they say actually measures general intelligence.評価とオブザーバビリティAGI(汎用人工知能)Benchmarks+3
58:28EN
Cognitive Revolution "How AI Changes Everything"· 2024年5月22日ポッドキャストFrom Jailbreaking ChatGPT to Anthropic’s First Prompt Engineer: How Alex Albert Ships Claude 3ホスト Nathan LabenzA year after building jailbreakchat.com, Alex Albert walks Nathan Labenz through Claude 3’s writing, orchestration, character work, and the guardrails app developers still skip.モデルと学習安全性とガバナンス評価(Evals)+3
39:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年5月22日ポッドキャスト · 2 人JPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.ホスト Sarah Guo, Elad GilScale AI founder Alexandr Wang tells No Priors why easy internet data is exhausted, why expert-plus-model teams still win, and why the path to AGI looks more like curing cancer than inventing a vaccine.インフラとデプロイData quality & curationPost-training+3
スライド 2 枚12:50EN
Matthew Berman· 2024年5月22日Testing Smaug: Hosted 70B Versus a Smaller Local ModelMatthew Berman · Forward FutureMatthew Berman compares two Smaug configurations on Snake, math and reasoning puzzles.Open-weight models評価(Evals)モデルと学習
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