| 1. | | Navigating the World of Large Language Models (bentoml.com) |
| 48 points by sherlockxu on March 22, 2024 | 4 comments |
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| 2. | | Show HN: Let's Build AI (letsbuild.ai) |
| 173 points by aprxi on March 18, 2024 | 47 comments |
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| 3. | | Speech and Language Processing (3rd ed. draft) (stanford.edu) |
| 214 points by yeesian on March 11, 2024 | 32 comments |
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| 4. | | Building an LLM from Scratch: Automatic Differentiation (2023) (bclarkson-code.github.io) |
| 355 points by netwrt on Feb 15, 2024 | 17 comments |
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| 5. | | Show HN: Reor – An AI note-taking app that runs models locally (github.com/reorproject) |
| 411 points by samlhuillier on Feb 14, 2024 | 102 comments |
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| 6. | | World model on million-length video and language with RingAttention (largeworldmodel.github.io) |
| 196 points by GalaxyNova on Feb 14, 2024 | 60 comments |
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| 7. | | Understand how transformers work by demystifying the math behind them (osanseviero.github.io) |
| 470 points by LaserPineapple on Jan 3, 2024 | 137 comments |
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| 8. | | Simulating fluids, fire, and smoke in real-time (andrewkchan.dev) |
| 784 points by ibobev on Dec 19, 2023 | 169 comments |
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| 9. | | [flagged] DeciLM-7B: The Fastest and Most Accurate 7B-Parameter LLM to Date (deci.ai) |
| 84 points by paulenelim on Dec 12, 2023 | 42 comments |
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| 10. | | Gemini AI (deepmind.google) |
| 2135 points by dmotz on Dec 6, 2023 | 1602 comments |
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| 11. | | LLM Visualization (bbycroft.net) |
| 1592 points by plibither8 on Dec 3, 2023 | 131 comments |
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| 12. | | Q-Transformer (qtransformer.github.io) |
| 238 points by jonbaer on Nov 30, 2023 | 63 comments |
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| 13. | | MeshGPT: Generating triangle meshes with decoder-only transformers (nihalsid.github.io) |
| 738 points by jackcook on Nov 28, 2023 | 157 comments |
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| 14. | | Simplifying Transformer Blocks (arxiv.org) |
| 142 points by georgehill on Nov 28, 2023 | 49 comments |
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| 15. | | Prompting Frameworks for Large Language Models: A Survey (arxiv.org) |
| 25 points by dmezzetti on Nov 26, 2023 | 4 comments |
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| 16. | | Experimental tree-based writing interface for GPT-3 (github.com/socketteer) |
| 234 points by pyinstallwoes on Nov 23, 2023 | 34 comments |
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| 17. | | LM Studio – Discover, download, and run local LLMs (lmstudio.ai) |
| 461 points by victormustar on Nov 22, 2023 | 148 comments |
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| 18. | | LLMs by Hallucination Rate (github.com/vectara) |
| 107 points by vincent_s on Nov 16, 2023 | 132 comments |
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| 19. | | Infinite Context LLMs: Going Beyond RAG with Extended Minds (normalcomputing.ai) |
| 145 points by telotortium on Nov 13, 2023 | 42 comments |
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| 20. | | What are Transformer Models and how do they work? [video] (youtube.com) |
| 83 points by luis_likes_math on Nov 6, 2023 | 3 comments |
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| 21. | | 01-AI/Yi: A series of large language models trained from scratch (github.com/01-ai) |
| 143 points by simonpure on Nov 6, 2023 | 52 comments |
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| 22. | | Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context (phind.com) |
| 891 points by rushingcreek on Oct 31, 2023 | 347 comments |
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| 23. | | M2 Ultra can run 128 streams of Llama 2 7B in parallel (github.com/ggerganov) |
| 268 points by behnamoh on Oct 11, 2023 | 173 comments |
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| 24. | | LeoLM: German-Language LLM Research (laion.ai) |
| 105 points by doubtfuluser on Sept 29, 2023 | 84 comments |
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| 25. | | I made a transformer to predict a simple sequence manually (vgel.me) |
| 360 points by lukastyrychtr on Sept 22, 2023 | 94 comments |
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| 26. | | Self-supervised learning: The dark matter of intelligence (2021) (meta.com) |
| 164 points by reqo on Sept 18, 2023 | 18 comments |
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| 27. | | OneDiffusion (github.com/bentoml) |
| 39 points by aarnphm on Aug 23, 2023 | 7 comments |
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| 28. | | How Is LLaMa.cpp Possible? (finbarr.ca) |
| 685 points by birriel on Aug 15, 2023 | 227 comments |
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| 29. | | Artificial General Intelligence – A gentle introduction (temple.edu) |
| 282 points by lorepieri on Aug 11, 2023 | 193 comments |
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| 30. | | Llama from scratch, or how to implement a paper without crying (briankitano.com) |
| 513 points by bkitano19 on Aug 9, 2023 | 52 comments |
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| More |