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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
5 diapositives9:33EN
Matthew Berman· 30 juin 2023Testing SDXL 0.9: Image Quality, Clipdrop and a Midjourney ComparisonMatthew Berman · Forward FutureIn June 2023, Matthew Berman tries Stability AI’s image model, compares selected prompts with Midjourney and demonstrates Clipdrop’s lighting tool.Generative mediaVision et vidéoOpen-weight models+1
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
5 diapositives59:36EN
Matthew Berman· 27 juin 2023Pascal Pfeiffer on Retrieval, Open Models, Kaggle and Fine-Tuning with H2O LLM StudioMatthew Berman, Pascal Pfeiffer · Forward FutureIn a 2023 interview, H2O.ai’s Pascal Pfeiffer explains document retrieval and parameter-efficient fine-tuning, reflects on Kaggle competitions and demonstrates LLM Studio. He and Matthew Berman also consider coding assistants and unverified rumors about model architecture.Fine-tuningGénération augmentée par récupérationOpen-weight models+2
4 diapositives7:21EN
Matthew Berman· 26 juin 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 modelsÉvaluationsDistillation+2
4 diapositives13:50EN
Matthew Berman· 23 juin 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
3 diapositives8:17EN
Matthew Berman· 22 juin 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.Open-weight modelsInferenceInfrastructure et déploiement+1
7 diapositives4:36EN
Matthew Berman· 20 juin 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.Modèles et entraînementLocal inferenceSoftware engineering+2
5 diapositives9:46EN
Matthew Berman· 19 juin 2023Installing Text Generation WebUI on Windows: A 2023 Local-Model WalkthroughMatthew Berman · Forward FutureMatthew Berman installs an early version of Text Generation WebUI, resolves setup errors and explains model downloads and interface settings. The steps and packages are historical; consult the project’s current documentation for a modern installation.Local inferenceOpen-weight modelsInfrastructure et déploiement+1
59:28EN
Cognitive Revolution "How AI Changes Everything"· 16 juin 2023PodcastFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductAnime : Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.Modèles et entraînementFine-tuningPretraining & midtraining+3
4 diapositives10:23EN
Matthew Berman· 15 juin 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 modelsÉvaluationsAI research+1
5 diapositives19:38EN
Matthew Berman· 9 juin 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.DistillationFine-tuningSynthetic data+2
2:41:58EN
Lex Fridman· 8 juin 2023Podcast · 2 voixZuckerberg showed up as Mark Elliott — then argued for many AIs, not oneInvité : Mark Zuckerberg · Anime : 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.Entreprise et stratégieOpen-source ecosystemsOpen-weight models+3
2 diapositives10:40EN
Matthew Berman· 7 juin 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.Open-weight modelsLocal inferenceBenchmarks+1
3 diapositives8:51EN
Matthew Berman· 2 juin 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.Open-weight modelsFoundation ModelsLocal inference+1
4 diapositives11:42EN
Matthew 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.Fine-tuningQuantizationOpen-weight models+1
2 diapositives7:51EN
Matthew Berman· 30 mai 2023Running Guanaco 65B on a Cloud GPU with Runpod and Text Generation Web UIMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 workflow for renting a GPU, loading a quantized model and generating text. Model requirements, pricing and interfaces depend on the chosen version.Local inferenceInfrastructure et déploiementOpen-weight models+2
1:20:49EN
Cognitive Revolution "How AI Changes Everything"· 25 mai 2023PodcastA Wafer-Scale Chip So AI Stops Waiting on AmdahlAnime : 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.Infrastructure et déploiementInferenceAI cost & performance+3
1:11:11EN
20VC with Harry Stebbings· 17 mai 2023Podcast · 2 voixEmad Mostaque on Open AI Models, National Data and the Race to DeployInvité : Emad Mostaque · Anime : Harry StebbingsThe Stability AI co-founder describes his 2023 vision for open models, healthcare applications and AI businesses, alongside concerns about a speculative boom.Foundation ModelsOpen-weight modelsAI in healthcare+2
4 diapositives11:07EN
Matthew Berman· 16 mai 2023Testing MosaicML MPT-7B Chat and StoryWriter in 2023Matthew Berman · Forward FutureMatthew Berman examines MPT-7B model variants, their licenses and a mixed set of local tests.Open-weight modelsBenchmarksModèles et entraînement+1
1:06:02EN
20VC with Harry Stebbings· 15 mai 2023Podcast · 2 voixYann LeCun on Open AI Models, Safety and the Future of ResearchInvité : Yann Lecun · Anime : Harry StebbingsMeta’s chief AI scientist discusses language models, research priorities and his contested views on AI risk and employment.AI researchAI SafetyOpen-weight models+2
4 diapositives14:29EN
Matthew Berman· 8 mai 2023A 2023 Google Memo on Open Models, LoRA and AI’s Competitive MoatMatthew Berman · Forward FutureMatthew Berman reviews a leaked employee essay arguing that rapid community iteration could challenge proprietary AI labs, and traces the early LLaMA ecosystem.Open-weight modelsAI HistoryFine-tuning+1
2 diapositives6:53EN
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 LearningÉvaluations+1
4 diapositives9:58EN
Matthew Berman· 26 avr. 2023HuggingChat’s 2023 Debut: Testing Writing, Reasoning and Python CodeMatthew Berman · Forward FutureMatthew Berman tries the early OpenAssistant-powered HuggingChat on writing, arithmetic, logic and a Snake game, then compares a few outputs with GPT-3.5 and GPT-4. The results illustrate both promise and limitations in this small historical test.Open-weight modelsBenchmarksModèles et entraînement+2
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