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#ai Deep learning model quantization: A Visual Guide to Quantization - by Maarten Grootendorst https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-quantization#%C2%A7symmetric-quantization

#ai 123B https://mistral.ai/news/mistral-large-2407/

#ai RAG is evolving so fast. Gao, Yunfan, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Meng Wang, and Haofen Wang. 2023. “Retrieval-Augmented Generation for Large Language Models: A Survey.” arXiv [Cs.CL]. arXiv. http://arxiv.org/abs/2312.10997.

#ai https://github.com/postgresml/korvus

#ai Uncensor any LLM with abliteration https://huggingface.co/blog/mlabonne/abliteration

#ai So real. https://openai.com/index/hello-gpt-4o/

#ai GraphRAG: Unlocking LLM discovery on narrative private data - Microsoft Research https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/

#ai From Predictive to Generative - How Michelangelo Accelerates Uber’s AI Journey | Uber Blog https://www.uber.com/en-DE/blog/from-predictive-to-generative-ai/

#ai https://www.pinecone.io/blog/hallucination-free-llm/

#ai Scary and exciting at the same time https://www.figure.ai/

#ai Some interesting perspectives on ai and arts https://www.reddit.com/r/ask/s/t4tLIXqoU5

#ai Google released new models. Those models are easier to use than llama 2. https://www.kaggle.com/models/google/gemma https://blog.google/technology/developers/gemma-open-models/