Actualités
Mistral launches new code embedding model that outperforms OpenAI and Cohere in real-world retrieval tasks
Mistral’s Codestral Embed will help make RAG use cases faster and find duplicate code segments...
Mistral just updated its open source Small model from 3.1 to 3.2: here’s why
The fact that it is made by a French startup and compliant with EU rules...
Mistral AI’s new coding assistant takes direct aim at GitHub Copilot
Mistral AI launches enterprise coding assistant with on-premise deployment to challenge GitHub Copilot, targeting corporate...
Mistral AI Unveils Mistral Medium 3.1: Enhancing AI with Superior Performance and Usability
Mistral AI has introduced Mistral Medium 3.1, setting new standards in multimodal intelligence, enterprise readiness...
Mistral AI Releases Mistral Small 3.2: Enhanced Instruction Following, Reduced Repetition, and Stronger Function Calling for AI Integration
With the frequent release of new large language models (LLMs), there is a persistent quest...
Mistral AI Introduces Mistral Code: A Customizable AI Coding Assistant for Enterprise Workflows
Mistral AI announced the release of Mistral Code, an AI-powered coding assistant tailored for enterprise...
MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization
arXiv:2507.14683v1 Announce Type: new Abstract: Large language models have recently evolved from fluent text generation...
MiroMind-M1: Advancing Open-Source Mathematical Reasoning via Context-Aware Multi-Stage Reinforcement Learning
Large language models (LLMs) have recently demonstrated remarkable progress in multi-step reasoning, establishing mathematical problem-solving...
MinosEval: Distinguishing Factoid and Non-Factoid for Tailored Open-Ended QA Evaluation with LLMs
arXiv:2506.15215v1 Announce Type: new Abstract: Open-ended question answering (QA) is a key task for evaluating...
MiniMax AI Releases MiniMax-M1: A 456B Parameter Hybrid Model for Long-Context and Reinforcement Learning RL Tasks
The Challenge of Long-Context Reasoning in AI Models Large reasoning models are not only designed...
Mind the Gap: A Review of Arabic Post-Training Datasets and Their Limitations
arXiv:2507.14688v1 Announce Type: new Abstract: Post-training has emerged as a crucial technique for aligning pre-trained...
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
arXiv:2508.21589v1 Announce Type: new Abstract: Supervised Fine-Tuning (SFT) Large Language Models (LLM) fundamentally rely on...
