Kürzlich aktualisierte Kanäle

Wählen, um nur diesen Kanal zu sehenAlle Kanäle →

Ergebnisse

257 Artikel
Sortieren
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 21. Sept. 2023Podcast · 2 StimmenA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.Moderation: Sarah Guo, Elad GilReplit CEO Amjad Masad on Ghostwriter, why a 3-billion-parameter model was enough, and the agents he wants earning bounties while you sleep.Coding-AgentenDeveloper productivityOpen-weight models+3
6 Folien12:49EN
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.Open-weight modelsBenchmarksModelle & Training+1
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 7. Sept. 2023Podcast · 2 StimmenA Dinner-Plate Chip Cut Training From 60 Days to 3.5Moderation: 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.Infrastruktur & DeploymentInferenceAI cost & performance+3
3 Folien6:11EN
Matthew Berman· 31. Aug. 2023Running WizardCoder Locally with Text Generation WebUIMatthew Berman · Forward FutureMatthew Berman walks through a 2023 setup for a quantized Code Llama-based coding model, from the Python environment to a simple test prompt.Local inferenceCoding-AgentenOpen-weight models+1
5 Folien10:20EN
Matthew Berman· 30. Aug. 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 modelsCoding-AgentenEvals+2
52:48EN
Cognitive Revolution "How AI Changes Everything"· 25. Aug. 2023PodcastOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListModeration: 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.Modelle & TrainingFine-TuningAI cost & performance+3
2 Folien10:22EN
Matthew Berman· 4. Aug. 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.Open-weight modelsRoboticsAI agents+2
3 Folien5:34EN
Matthew Berman· 26. Juli 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 Folien4:59EN
Matthew Berman· 25. Juli 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 modelsEvalsModelle & Training+1
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
Folien11:16EN
Matthew Berman· 21. Juli 2023AI News in July 2023: Llama 2, Generated Video and Model BehaviorMatthew Berman · Matthew BermanMatthew Berman surveys a week of AI announcements, research and reporting, from entertainment experiments to enterprise tools and Meta’s Llama 2.Generative mediaOpen-weight modelsAI History+2
7 Folien9:40EN
Matthew Berman· 20. Juli 2023Testing Llama 2 70B on Coding, Writing and ReasoningMatthew Berman · Forward FutureMatthew Berman tries Meta’s 70-billion-parameter chat model through a hosted interface, highlighting both useful outputs and inconsistent reasoning.Open-weight modelsBenchmarksModelle & Training+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
5 Folien8:04EN
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
3 Folien12:20EN
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
5 Folien9:33EN
Matthew Berman· 30. Juni 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 & VideoOpen-weight models+1
6 Folien18:08EN
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
5 Folien59:36EN
Matthew Berman· 27. Juni 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-TuningRetrieval-Augmented GenerationOpen-weight models+2
4 Folien7:21EN
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
4 Folien13:50EN
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
3 Folien8:17EN
Matthew Berman· 22. Juni 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 modelsInferenceInfrastruktur & Deployment+1
7 Folien4:36EN
Matthew Berman· 20. Juni 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.Modelle & TrainingLocal inferenceSoftware engineering+2
5 Folien9:46EN
Matthew Berman· 19. Juni 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 modelsInfrastruktur & Deployment+1
59:28EN
Cognitive Revolution "How AI Changes Everything"· 16. Juni 2023PodcastFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductModeration: Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.Modelle & TrainingFine-TuningPretraining & midtraining+3
Mehr laden24 von 257 angezeigt