Codestral Embed

Codestral

Codestral Mamba

Codestral 25.01

Getting Started With Embeddings

New and improved embedding model

We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use.

Text and code embeddings by contrastive pre-training

Announcing Codestral 25.08 and the Complete Mistral Coding Stack for Enterprise

Leanstral: Open-Source foundation for trustworthy vibe-coding

Training CodeParrot 🦜 from Scratch

Geometric Iterative Retrieval for Neural Audio Codec Resynthesis

The paper introduces geometric iterative retrieval, a new approach for resynthesizing high‑quality audio from coarse Residual Vector Quantization (RVQ) codec tokens. Instead of choosing between discrete token prediction or continuous regression, the method performs contrastive retrieval within the continuous codebook space, leveraging the RVQ hierarchy as an iterative decomposition. Experiments on speech and music codec restoration tasks demonstrate that this technique outperforms both single‑pass token prediction and one‑step regression baselines.

How to Use Claude Code in Your Browser

Learn how to apply coding agents to verify work in your browser. The post How to Use Claude Code in Your Browser appeared first on Towards Data Science .

Open R1: How to use OlympicCoder locally for coding