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4 Folien11:07EN
Matthew Berman· 24. Juli 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 modelsEvals+2
3 Folien9:46EN
Matthew Berman· 17. Juli 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
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Matthew Berman· 11. Juli 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.EvalsOpen-weight modelsModelle & Training+1
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Matthew 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.Open-weight modelsEvalsModelle & Training+1
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20VC with Harry Stebbings· 30. Juni 2023Podcast · 2 StimmenDouwe Kiela on Data, Retrieval and Enterprise AIGast: Douwe Kiela · Moderation: Harry StebbingsThe Contextual AI CEO discusses language model trade-offs, evaluation, open models and the hurdles to enterprise use.Enterprise-KIRetrieval-Augmented GenerationData quality & curation+2
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Matthew 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.BenchmarksOpen-weight modelsModelle & Training+1
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Matthew Berman· 26. Juni 2023Testing Orca Mini 13B, an Unofficial Model Inspired by OrcaMatthew Berman · Forward FutureMatthew Berman loads a quantized Orca Mini 13B and tries coding, reasoning, arithmetic, and summarization prompts. His 2023 informal test produces several failures and a few successes.Open-weight modelsEvalsDistillation+2
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Matthew Berman· 23. Juni 2023MPT-30B: Running MosaicML’s Model Locally and Testing Its Chat VariantMatthew Berman · Forward FutureMatthew Berman reviews MosaicML’s June 2023 release, demonstrates a local setup, and puts the hosted chat model through an informal prompt rubric.Open-weight modelsLocal inferenceQuantization+2
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Matthew Berman· 15. Juni 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.Open-weight modelsEvalsAI research+1
6 Folien11:49EN
Matthew Berman· 1. Juni 2023Testing Wizard-Vicuna 30B: Responses, Reasoning, and CodeMatthew Berman · Forward FutureMatthew Berman examines a model marketed as uncensored, demonstrates a 2023 cloud setup, and runs an informal collection of tests.Modelle & TrainingEvalsAI Safety+1
1:33:51EN
Cognitive Revolution "How AI Changes Everything"· 23. Mai 2023PodcastGPT-4 still writes SQL that will not run. She put a guardrail on the modelModeration: Nathan LabenzShreya Rajpal built Guardrails AI so developers can encode what “correct” means, validate the pieces, and send failures back to the model instead of hoping the prompt holds.SicherheitEvalsHuman-in-the-Loop-Validierung+3
1:25:35EN
Cognitive Revolution "How AI Changes Everything"· 21. Mai 2023PodcastTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical SchoolModeration: Nathan LabenzVivek Natarajan walks Nathan Labenz through Med-PaLM and Med-PaLM 2: the data-light techniques, the nine-axis clinician evals, and why a high USMLE-style score is the wrong trophy.Modelle & TrainingAI in healthcareFine-Tuning+3
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No Priors: AI, Machine Learning, Tech, & Startups· 18. Mai 2023Podcast · 2 StimmenTen Percent of Search Is Health — and the Doctor Is Googling TooModeration: Sarah Guo, Elad GilGoogle researcher Karan Singhal on Med-PaLM 2, the real bar for medical language models, and why medicine is a harder alignment lab than chatbots.Modelle & TrainingAI in healthcareSicherheit & Governance+3
1:28:43EN
Cognitive Revolution "How AI Changes Everything"· 16. Mai 2023PodcastClinical Guidelines Are 11% Evidence. Curai’s Founder Still Wants GPT-4 in the Exam RoomModeration: Nathan LabenzNeal Khosla of Curai Health argues that large language models already match median U.S. physicians on today’s tests — and that the real work is scaffolding, supervision, and a doctor’s signature.Unternehmen & StrategieAI in healthcareProduct Strategy+3
58:24EN
Cognitive Revolution "How AI Changes Everything"· 11. Mai 2023PodcastAmong 100 Random Doctors, Zak Kohane Would Be Surprised If One Beat GPT-4Moderation: Nathan LabenzHarvard's biomedical informatics chair on a rare newborn case, why drug-style trials will not certify a general medical model, and why the AI should still work for the patient.AI in healthcareEvalsHuman-AI Collaboration+3
2 Folien6:53EN
Matthew Berman· 4. Mai 2023StableVicuna’s 2023 Release: An Early RLHF Chatbot Put to the TestMatthew Berman · Forward FutureMatthew Berman reviews the 13-billion-parameter model and tests poetry, simple code, reasoning and a resignation email.Open-weight modelsReinforcement LearningEvals+1
1:21:06EN
Cognitive Revolution "How AI Changes Everything"· 27. Apr. 2023PodcastEveryone Talks About RLHF. Almost Nobody Is Doing It.Moderation: Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.Produkt & UXEvalsObservability & Zuverlässigkeit+3
5 Folien6:24EN
Matthew Berman· 6. Apr. 2023BloombergGPT: Mixing Financial and General Data for a Language ModelMatthew Berman · Forward FutureMatthew Berman examines the 2023 finance-focused research model, its training corpus, evaluation and decision not to release weights.KI im FinanzwesenModelle & TrainingEvals+1
1:56:16EN
Cognitive Revolution "How AI Changes Everything"· 6. Apr. 2023PodcastThey Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.Moderation: Nathan LabenzOught's founders tell Nathan Labenz why open-ended reasoning has to be decomposed, supervised, and grounded—not scaled until it merely looks persuasive.RAG & WissenAgent EngineeringEvals+3
1:23:53EN
Cognitive Revolution "How AI Changes Everything"· 17. März 2023PodcastGPT-4, 24 Hours Later: No Safety Locks, a Captcha Hire, and a U.S.–China DeadlockModeration: Nathan LabenzA day after OpenAI shipped GPT-4, ChinaTalk sat a red teamer, a pessimist, and a policy researcher down to argue over capability, safety, and a race nobody can brake.SicherheitRed TeamingSicherheit & Governance+3
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Matthew Berman· 14. März 2023Testing GPT-4 Against GPT-3.5 at LaunchMatthew Berman · Forward FutureMatthew Berman reviews OpenAI's March 2023 GPT-4 announcement and compares the models on scheduling, reasoning, safety and travel prompts.OpenAIFoundation ModelsEvals+1
1:13:06EN
Lex Fridman· 19. Aug. 2019Podcast · 2 StimmenLockheed Martin's CTO on Autonomy, the Moon, and the Culture of Not Getting It WrongGast: Keoki Jackson · Moderation: Lex FridmanKeoki Jackson tells Lex Fridman why going back to the Moon is the easy part—and why proving a learning system will still do the right thing is not.SicherheitSicherheit & GovernanceHuman-in-the-Loop-Validierung+3
1:45:49EN
Cognitive Revolution "How AI Changes Everything"PodcastTrust at Scale: Elicit's Founders on Reasoning Languages, World Models and Automating the CompanyModeration: Nathan LabenzAndreas Stuhlmüller and Jungwon Byun explain how Elicit keeps frontier models checkable for high-stakes science, and where they think AI reasoning is heading.AgentenWorld modelsReasoning & test-time compute+3
1:25:13EN
Lenny's PodcastPodcastCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a TeammateModeration: Lenny RachitskyCodex product lead Alexander Embiricos explains the 20x growth, why every useful agent may need to write code, and why human review speed is the real bottleneck.Coding-AgentenCode review & verificationDeveloper productivity+3
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