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Google fuses SQL, Python, and Spark in Colab Enterprise push

Move comes as Snowflake and Databricks chase the same all-in-one analytics dream Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and ...
GitHub

Easily use and train state of the art retrieval methods in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

The main motivation of RAGatouille is simple: bridging the gap between state-of-the-art research and alchemical RAG pipeline practices. RAG is complex, and there are many moving parts. To get the best ...
IEEE

Secure Storage Using Maximally Recoverable Locally Repairable Codes

Abstract: This paper considers data secrecy in distributed storage systems (DSSs) using maximally recoverable locally repairable codes (MR-LRCs). Conventional MR-LRCs are in general not secure against ...
GitHub

Train multi-step agents for real-world tasks using GRPO.

RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...