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1:23:09EN
Cognitive Revolution "How AI Changes Everything"· 3 avr. 2024PodcastThe Right Size of an AI Task Is Whatever You Can CheckAnime : Nathan LabenzElicit founders Andreas Stuhlmüller and Jungwon Byun walk through how a twelve-person research assistant cut summary hallucinations from 1.5 to 0.5, ships about every week and a half, and treats task decomposition as the way to spend more compute without a black box.RAG et connaissancesGénération augmentée par récupérationSearch & retrieval+3
6 diapositives9:02EN
Matthew Berman· 1 avr. 2024Matthew Berman Tries LLM Colosseum, a Street Fighter Model BenchmarkMatthew Berman · Forward FutureA 2024 tutorial shows language models choosing fighting-game moves, explains the game-state prompt and walks through local setup.ÉvaluationsMulti-agent systemsExperimentation+1
3 diapositives14:23EN
Matthew Berman· 31 mars 2024Testing DBRX: Coding Strengths and Reasoning GapsMatthew Berman · Forward FutureMatthew Berman examines Databricks’ open-weight model and puts it through coding, arithmetic and reasoning prompts.Open-weight modelsModèles et entraînementÉvaluations+1
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 28 mars 2024Podcast · 2 voixFrom a side project to 700 integrations: Harrison Chase on what still blocks agentsAnime : Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.AgentsIngénierie d’agentsAgent memory+3
1:28:37EN
Cognitive Revolution "How AI Changes Everything"· 14 mars 2024PodcastTwelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup AroundAnime : Nathan LabenzPablo Arredondo, co-founder of CaseText and now VP of CoCounsel at Thomson Reuters, traces legal research from 19th-century citators to a retrieval-anchored GPT-4 product that law firms treat more like a colleague than a search box.Entreprise et stratégieGénération augmentée par récupérationÉvaluations+3
2 diapositives21:16EN
Matthew Berman· 9 mars 2024ArtPrompt: What a 2024 Study Found About Visual Text and Model SafetyMatthew Berman · Forward FutureMatthew Berman reviews an ASCII-art recognition benchmark and reports mixed results from his own informal tests.AI SafetySécuritéÉvaluations+1
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Matthew Berman· 22 févr. 2024Testing Google Gemma 7B at Launch: Setup MattersMatthew Berman · Forward FutureMatthew Berman compares local and hosted tests of Google’s early open-weight model.Open-weight modelsÉvaluationsModèles et entraînement
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
5 diapositives19:37EN
Matthew Berman· 13 déc. 2023How Rephrased Test Data Inflated a 13B Model’s Benchmark ScoresMatthew Berman · Forward FutureMatthew Berman examines a 2023 experiment showing how reworded benchmark questions can evade simple contamination checks and inflate model scores.BenchmarksÉvaluationsData quality & curation+2
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Cognitive Revolution "How AI Changes Everything"· 2 déc. 2023PodcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Anime : Nathan LabenzImbue CTO Josh Albrecht tells Nathan Labenz how a 27-person, pre-product research company is putting $200 million and 10,000 H100s toward agents that can actually finish a long job.AgentsIngénierie d’agentsReasoning & test-time compute+3
4 diapositives18:29EN
Matthew Berman· 1 déc. 2023OpenAI's 2023 Leadership Crisis, Q* Speculation and Synthetic DataMatthew Berman, Andrew Ross Sorkin, Elon Musk · Forward FutureMatthew Berman connects Sam Altman's return, an Elon Musk interview and Nathan Lambert's discussion of synthetic training data, separating reported events from his own theories.Synthetic dataOpenAIAI Safety+2
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No Priors: AI, Machine Learning, Tech, & Startups· 16 nov. 2023Podcast · 2 voixFourteen People, $200 Million of Compute, and the Reliability Bottleneck for AgentsAnime : Sarah Guo, Elad GilImbue co-founders Kanjun Qiu and Josh Albrecht on why agents fail, why language models cannot learn general algorithms, and why they are spending a giant round on GPUs rather than headcount.AgentsAgents de codeIngénierie d’agents+3
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Cognitive Revolution "How AI Changes Everything"· 19 sept. 2023PodcastLuxury Purses Under $500 Beat a Bank's Fraud ModelAnime : Nathan LabenzArthur.ai CEO Adam Wenchel on boundary attacks, LLM firewalls, and why a model that eats raw text cannot be secured from the inside.SécuritéAI securityPrompt injection+3
5 diapositives10:20EN
Matthew Berman· 30 août 2023Phind Code Llama 34B vs GPT-4: A 2023 Python Coding TestMatthew Berman · Forward FutureMatthew Berman compares a quantized Phind fine-tune with GPT-4 on games, short functions and refactoring, with mixed results.Open-weight modelsAgents de codeÉvaluations+2
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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
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No Priors: AI, Machine Learning, Tech, & Startups· 27 juil. 2023Podcast · 2 voixPalantir's 13th Employee: The Model Is a Stochastic Genie. Ontology Is the Stake That Tethers ItAnime : Sarah Guo, Elad GilCTO Shyam Sankar on 550 microservices, air-gapped submarines, and why Palantir's ontology is what large language models were waiting for.Entreprise et stratégieIA en entrepriseAI Strategy+3
3 diapositives5:34EN
Matthew Berman· 26 juil. 2023FreeWilly2: A 2023 Prompt Test with Uncertain FormattingMatthew Berman · Forward FutureMatthew Berman retries an instruction-tuned Llama 2 model after a poor first run, finding mixed results and a likely template problem.Open-weight modelsBenchmarksFine-tuning+1
2 diapositives4:59EN
Matthew Berman· 25 juil. 2023Testing Airoboros L2 70B on Coding, Writing and ReasoningMatthew Berman · Forward FutureMatthew Berman runs a small set of prompts against a Llama 2 fine-tune, finding useful structured output alongside failures on code and logic.Open-weight modelsÉvaluationsModèles et entraînement+1
4 diapositives11:07EN
Matthew Berman· 24 juil. 2023Installing Llama 2 13B Chat and Testing Its ResponsesMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 local setup and tests a 13-billion-parameter chat model on coding, writing, arithmetic and reasoning. His small set of prompts illustrates both useful outputs and mistakes.Local inferenceOpen-weight modelsÉvaluations+2
3 diapositives9:46EN
Matthew Berman· 17 juil. 2023Orca Mini V2 vs. OpenOrca: A 2023 Informal Model ComparisonMatthew Berman · Forward FutureMatthew Berman tests two Orca-inspired models on coding, writing and reasoning, with results shaped by prompt setup and subjective scoring.BenchmarksOpen-weight modelsReasoning & test-time compute+2
5 diapositives8:04EN
Matthew Berman· 11 juil. 2023WizardLM 13B v1.1 Tested on Coding, Writing and LogicMatthew Berman · Forward FutureMatthew Berman tries an instruction-tuned model on a small set of prompts, with mixed results and several subjective scoring choices.ÉvaluationsOpen-weight modelsModèles et entraînement+1
3 diapositives12:20EN
Matthew Berman· 10 juil. 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.Open-weight modelsÉvaluationsModèles et entraînement+1
54:00EN
20VC with Harry Stebbings· 30 juin 2023Podcast · 2 voixDouwe Kiela on Data, Retrieval and Enterprise AIInvité : Douwe Kiela · Anime : Harry StebbingsThe Contextual AI CEO discusses language model trade-offs, evaluation, open models and the hurdles to enterprise use.IA en entrepriseGénération augmentée par récupérationData quality & curation+2
6 diapositives18:08EN
Matthew Berman· 29 juin 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.BenchmarksOpen-weight modelsModèles et entraînement+1
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