Hacker News
- The 10,000x YOLO Researcher Metagame – With Yi Tay of Reka https://www.latent.space/p/yitay 4 comments
Linking pages
- 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
- 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
Linked pages
- You and Your Research https://www.cs.virginia.edu/~robins/YouAndYourResearch.html 387 comments
- https://ai.google/static/documents/palm2techreport.pdf 282 comments
- [2304.15004] Are Emergent Abilities of Large Language Models a Mirage? https://arxiv.org/abs/2304.15004 130 comments
- Training great LLMs entirely from ground zero in the wilderness as a startup — Yi Tay https://www.yitay.net/blog/training-great-llms-entirely-from-ground-zero-in-the-wilderness 114 comments
- Researchers and Founders - Sam Altman https://blog.samaltman.com/researchers-and-founders 105 comments
- An Opinionated Guide to ML Research http://joschu.net/blog/opinionated-guide-ml-research.html 7 comments
- A New Open Source Flan 20B with UL2 — Yi Tay https://www.yitay.net/blog/flan-ul2-20b 4 comments
- Yi Tay on Twitter: "Hot take 🔥: Lots of buzz these days about new foundation open-source models but what if I told you there have been no real advance since 2019's T5 models 😀 Take a look at this table from this new InstructEval paper: https://t.co/2lKNFCX7Ke. Some thoughts/observations: 1.… https://t.co/qwZELqWkaK" / Twitter https://twitter.com/YiTayML/status/1668302949276356609 3 comments
- [2110.12894] The Efficiency Misnomer https://arxiv.org/abs/2110.12894 1 comment
- How to train a Million Context LLM — with Mark Huang of Gradient.ai https://www.latent.space/p/gradient 1 comment
- [2011.04006] Long Range Arena: A Benchmark for Efficient Transformers https://arxiv.org/abs/2011.04006 1 comment
- [2009.06732] Efficient Transformers: A Survey https://arxiv.org/abs/2009.06732 0 comments
- Latent Space | swyx | Substack https://www.latent.space/ 0 comments
- Reka Core: Our Frontier Class Multimodal Language Model — Reka AI https://www.reka.ai/news/reka-core-our-frontier-class-multimodal-language-model 0 comments
- ICLR 2024 — Best Papers & Talks (ImageGen, Vision, Transformers, State Space Models) ft. Christian Szegedy, Ilya Sutskever https://www.latent.space/p/iclr-2024-recap 0 comments
- ICLR 2024 — Best Papers & Talks (Benchmarks, Reasoning & Agents) — ft. Graham Neubig, Aman Sanger, Moritz Hardt) https://www.latent.space/p/iclr-2024-benchmarks-agents 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
- [AINews] That GPT-4o Demo • Buttondown https://buttondown.email/ainews/archive/ainews-that-openai-demo/ 0 comments
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