Sublime

LLM101n

40+ page technical beginner intro to diffusion model from MILA🤌! An accessible first course on diffusion models and flow matching for machine learning, aimed at a technical audience with no diffusion experience. https://t.co/UjZzqPI5PE

Introducing LQ-LoRA Decomposing pretrained matrices into (fixed) quantized + (trainable) low-rank components enables more aggressive quantization. We can quantize LLaMA-2 70B to 2.5 bits with minimal degradation in instruction-tuning performance. https://t.co/l6gwA1okUx ... See more

Ilya Sutskever推荐的30篇必读研究论文 “如果你真正学会了这些，你将掌握当今90%的重要内容” ——Ilya Sutskever' https://t.co/SqN75xl7Pu

Let's try this: I'll put some of the code for the slides of my course open-source. We'll see where it goes. I was told you people like attention mechanisms. https://t.co/rEXOuFbbPR https://t.co/Q8f9kuKKq2... See more

500-pages a wonderful book for practicing mathematics for ML 🎉🫡 "Mathematics for both Data Science and Machine Learning." A good book for understanding and practicing, mathematics for ML Link in comments 😎 👇 https://t.co/rXxUwxDtEQ

chinese bros back at it again - train a Decoder-Only transformer < 3 hrs on a 3090 - fully studded with LoRA, DPO, SFT. - well documented training - vision, moe, and other goodies also avail. https://t.co/QQtYdyxJTr

#MachineLearning for Financial Risk Management with #Python — #Algorithms for Modeling Risk: https://t.co/oBePOF3VgP ————— #AI #DataScience #ML #Finance #Coding #RiskManagement #DigitalTransformation #Fintech #Insurtech #PredictiveAnalytics https://t.co/sTE889VqPj