It is extremely important to ensure Data Quality upstream of ML Training and Inference Pipelines, trying to do that in the pipelines will cause unavoidable failure when working at scale. Curiosi...

LLMs Course Github 👉 https://github.com/peremartra/Large-Language-Model-Notebooks-Course/tree/main/3-LangChain Introduction to LangChain and Agents: Building Intelligent Applications Curiosit...

If you want to 𝗹𝗲𝗮𝗿𝗻 in a 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝘄𝗮𝘆 to 𝗯𝘂𝗶𝗹𝗱 𝗟𝗟𝗠 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 using good 𝗟𝗟𝗠𝗢𝗽𝘀 principles… We want to announce that we just 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝗱 𝟴 𝗠𝗲𝗱𝗶𝘂𝗺 𝗹𝗲𝘀𝘀𝗼𝗻𝘀 for the 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 𝗟𝗟𝗠𝘀 𝗰𝗼𝘂𝗿𝘀𝗲 that will put ...

LLM2Vec: Transform LLMs into Embedding Models Curiosity: Can we transform decoder-only LLMs into powerful text encoders? What happens when we enable bidirectional attention and contrastive learnin...

Introducing Llama 3.1 Yesterday’s Llama 3.1 release marked a big milestone for LLM researchers and practitioners. Llama 3.1 405B is the biggest and most capable LLM with openly available LLMs. A...

Data analyst agent: get your data’s insights in the blink of an eye ✨ Curiosity: What insights can we retrieve from this? How does this connect to innovation in the field? Curiosity: In this note...

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizi...

UDP (User Datagram Protocol) is used in various software architectures for its simplicity, speed, and low overhead compared to other protocols like TCP. 🔹𝗟𝗶𝘃𝗲 𝗩𝗶𝗱𝗲𝗼 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 Many VoIP and video...

👉 Read our announcement blog post: https://huggingface.co/blog/llama31 🤗 Model card for the 405B on the Hub: https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-FP8 Meta’s Llam...

Visualize Your RAG Data: EDA for Retrieval-Augmented Generation Curiosity: How can we visualize RAG embedding data to understand retrieval quality? What insights can interactive visualizations rev...