Hacker News
Linking pages
- Emulating Humans with NSFW Chatbots - with Jesse Silver https://www.latent.space/p/nsfw-chatbots 1 comment
- AI Magic: Shipping 1000s of successful products with no managers and a team of 12 — Jeremy Howard of Answer.ai https://www.latent.space/p/answerai 0 comments
- Is finetuning GPT4o worth it? - Latent Space https://www.latent.space/p/cosine 0 comments
- Why you should write your own LLM benchmarks — with Nicholas Carlini, Google DeepMind https://www.latent.space/p/carlini 0 comments
- Efficiency is Coming: 3000x Faster, Cheaper, Better AI Inference from Hardware Improvements, Quantization, and Synthetic Data Distillation https://www.latent.space/p/nyla 0 comments
- From API to AGI: Structured Outputs, OpenAI API platform and O1 Q&A — with Michelle Pokrass & OpenAI Devrel + Strawberry team https://www.latent.space/p/openai-api-and-o1 0 comments
Linked pages
- Segment Anything | Meta AI https://segment-anything.com/ 157 comments
- GitHub - facebookresearch/segment-anything-2: The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model. https://github.com/facebookresearch/segment-anything-2 147 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
- 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
- gpulist https://gpulist.ai/ 38 comments
- The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka https://www.latent.space/p/yitay 4 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
- Latent Space | swyx | Substack https://www.latent.space/ 0 comments
- NeurIPS 2023 Recap — Best Papers - by swyx - Latent Space https://www.latent.space/p/neurips-2023-papers 0 comments
- How to train your own Large Multimodal Model — with Hugo Laurençon & Leo Tronchon of HuggingFace M4 Research https://www.latent.space/p/idefics 0 comments
- How To Hire AI Engineers - by Adam Wiggins and James Brady https://www.latent.space/p/hiring 0 comments
- State of the Art: Training >70B LLMs on 10,000 H100 clusters https://www.latent.space/p/llm-training-2024 0 comments
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