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- From API to AGI: Structured Outputs, OpenAI API Platform and O1 Q&A https://www.latent.space/p/openai-api-and-o1 0 comments
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- https://openai.com/index/learning-to-reason-with-llms/ 1502 comments
- https://openai.com/index/introducing-structured-outputs-in-the-api/ 287 comments
- https://openai.com/index/introducing-openai-o1-preview/ 22 comments
- AGI is Being Achieved Incrementally (OpenAI DevDay w/ Simon Willison, Alex Volkov, Jim Fan, Raza Habib, Shreya Rajpal, Rahul Ligma, et al) https://www.latent.space/p/devday 14 comments
- https://openai.com/o1/ 6 comments
- The Point of LangChain — with Harrison Chase of LangChain https://www.latent.space/p/langchain 4 comments
- Emergency Pod: OpenAI's new Functions API, up to 75% Price Drop, 4x Context Length (w/ Simon Willison, Riley Goodside, Roie Schwaber-Cohen, Joshua Lochner, Stefania Druga, Eric Elliott, Mayo Oshin) https://www.latent.space/p/function-agents#%C2%A7recursive-function-agents 2 comments
- Segment Anything 2: Demo-first Model Development https://www.latent.space/p/sam2 2 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
- 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
- https://platform.openai.com/docs/guides/reasoning 0 comments
- https://openai.com/index/openai-o1-system-card/ 0 comments
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