Hacker News
Linking pages
- The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis https://www.latent.space/p/semianalysis 40 comments
- The New Kings of Open Source AI (Oct 2023 Recap) https://www.latent.space/p/oct-2023 3 comments
- Notebooks = Chat++ and RAG = RecSys! — with Bryan Bischof of Hex Magic https://www.latent.space/i/139219943/rag-recsys 0 comments
- The Four Wars of the AI Stack (Dec 2023 Recap) https://www.latent.space/p/dec-2023 0 comments
- The Four Wars of the AI Stack (Dec 2023 Recap) https://www.latent.space/i/140396949/mixtral-sparks-a-gpuinference-war 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
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
- Mojo ð¥: Programming language for all of AI https://www.modular.com/mojo 393 comments
- fast.ai – fast.ai—Making neural nets uncool again https://fast.ai 382 comments
- Kaggle: Your Machine Learning and Data Science Community http://www.kaggle.com 204 comments
- Practical Deep Learning for Coders - Practical Deep Learning https://course.fast.ai 177 comments
- fast.ai - Can LLMs learn from a single example? https://www.fast.ai/posts/2023-09-04-learning-jumps/ 157 comments
- Google Gemini Eats The World – Gemini Smashes GPT-4 By 5X, The GPU-Poors https://www.semianalysis.com/p/google-gemini-eats-the-world-gemini 113 comments
- RWKV: Reinventing RNNs for the Transformer Era — with Eugene Cheah of UIlicious https://www.latent.space/p/rwkv#%C2%A7the-eleuther-mafia 66 comments
- RAG is a hack - with Jerry Liu from LlamaIndex https://www.latent.space/p/llamaindex#details 36 comments
- nbdev – Create delightful software with Jupyter Notebooks https://nbdev.fast.ai 25 comments
- State of AI Engineering Survey https://www.surveymonkey.com/r/AIENGINEERING2023 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
- AI Fundamentals: Datasets 101 - Latent Space https://www.latent.space/p/datasets-101 1 comment
- GitHub - fastai/fastai: The fastai deep learning library https://github.com/fastai/fastai 0 comments
- Stanford DAWN Deep Learning Benchmark (DAWNBench) · https://dawn.cs.stanford.edu/benchmark/ 0 comments
- [1612.00796] Overcoming catastrophic forgetting in neural networks https://arxiv.org/abs/1612.00796 0 comments
- [1801.06146] Universal Language Model Fine-tuning for Text Classification https://arxiv.org/abs/1801.06146 0 comments
- AlexNet - Wikipedia https://en.wikipedia.org/wiki/AlexNet 0 comments
- http://arxiv.org/abs/1311.2901 0 comments
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