Linking pages
- Why Google failed to make GPT-3 + why Multimodality for Knowledge Work is the path to AGI - with David Luan of Adept https://www.latent.space/p/adept 40 comments
- Llama 2, 3 & 4: Synthetic Data, RLHF, Agents on the path to Open Source AGI https://www.latent.space/p/llama-3 1 comment
- Making Transformers Sing - with Mikey Shulman of Suno https://www.latent.space/p/suno 0 comments
- Why Google failed and couldn’t Adept - with David Luan of Adept https://www.latent.space/i/142817627/why-google-couldnt-make-gpt 0 comments
- The Unbundling of ChatGPT (Feb 2024 Recap) - Latent Space https://www.latent.space/p/feb-2024 0 comments
- [AINews] Claude 3 is officially America's Next Top Model • Buttondown https://buttondown.email/ainews/archive/ainews-claude-3-is-officially-americas-next-top/ 0 comments
Linked pages
- Introducing Code Llama, a state-of-the-art large language model for coding https://ai.meta.com/blog/code-llama-large-language-model-coding/ 527 comments
- https://youtu.be/WXuK6gekU1Y 190 comments
- Dobb·E: On Bringing Robots Home https://dobb-e.com/ 123 comments
- OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics https://ok-robot.github.io/ 110 comments
- GitHub - ml-explore/mlx: MLX: An array framework for Apple silicon https://github.com/ml-explore/mlx 90 comments
- https://arxiv.org/abs/1806.07366 74 comments
- Segment Anything Model and the Hard Problems of Computer Vision — with Joseph Nelson of Roboflow https://www.latent.space/p/segment-anything-roboflow#details 52 comments
- https://chat.lmsys.org/ 51 comments
- The Llama Ecosystem: Past, Present, and Future https://ai.meta.com/blog/llama-2-updates-connect-2023/ 38 comments
- https://chat.lmsys.org/?leaderboard= 10 comments
- Petaflops to the People: from Personal Compute Cluster to Person of Compute — with George Hotz of the tiny corp https://www.latent.space/p/geohot#details 10 comments
- A Person of Compute | the singularity is nearer https://geohot.github.io/blog/jekyll/update/2023/04/26/a-person-of-compute.html 5 comments
- Soumith Chintala on Twitter: "i might have heard the same 😃 -- I guess info like this is passed around but no one wants to say it out loud. GPT-4: 8 x 220B experts trained with different data/task distributions and 16-iter inference. Glad that Geohot said it out loud. Though, at this point, GPT-4 is…" / Twitter https://twitter.com/soumithchintala/status/1671267150101721090 5 comments
- Meta and Microsoft Introduce the Next Generation of Llama | Meta https://about.fb.com/news/2023/07/llama-2/ 3 comments
- Doing it the Hard Way: Making the AI engine and language 🔥 of the future — with Chris Lattner of Modular https://www.latent.space/p/modular 2 comments
- Mistral AI | Open source models https://mistral.ai/ 1 comment
- Why StackOverflow usage is down 50% — with David Hsu of Retool https://www.latent.space/p/retool 1 comment
- GitHub - google/tangent: Source-to-Source Debuggable Derivatives in Pure Python https://github.com/google/tangent 0 comments
- Latent Space | swyx | Substack https://www.latent.space/ 0 comments
- Llama 2: The New Open LLM SOTA (ft. Nathan Lambert, Matt Bornstein, Anton Troynikov, Russell Kaplan, Whole Mars Catalog et al.) https://www.latent.space/p/llama2#details 0 comments
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