Notizie
Mistral AI Launches Voxtral Transcribe 2: Pairing Batch Diarization And Open Realtime ASR For Multilingual Production Workloads At Scale
Automatic speech recognition (ASR) is becoming a core building block for AI products, from meeting...
Mistral AI Launches Voxtral Transcribe 2: Pairing Batch Diarization And Open Realtime ASR For Multilingual Production Workloads At Scale
Automatic speech recognition (ASR) is becoming a core building block for AI products, from meeting...
Mistral AI Launches Remote Agents in Vibe and Mistral Medium 3.5 with 77.6% SWE-Bench Verified Score
Mistral AI has been quietly building one of the more practical coding agent ecosystems in...
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...
Miso Labs Releases MisoTTS: An 8B Emotive Text-to-Speech Model with Open Weights
Miso Labs has released MisoTTS, an open-weights 8-billion-parameter text-to-speech model. It generates expressive speech from...
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...
Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration
Most AI systems today work in turns. You type or speak, the model waits, processes...
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 Sparse Attention (MSA): a Two-Branch Block-Sparse Attention Trained on a 109B-Parameter MoE With a 3T-Token Budget
MiniMax released MSA (MiniMax Sparse Attention), a sparse attention method built directly on Grouped Query...
MiniMax Releases MiniMax H3: An Omni-Modal Video Model That Generates 15-Second 2K Clips With Native Stereo Audio
MiniMax releases MiniMax H3, a general-purpose multimodal generation model. MiniMax H3 is not a text-to-video...
MiniMax Releases M2.1: An Enhanced M2 Version with Features like Multi-Coding Language Support, API Integration, and Improved Tools for Structured Coding
Just months after releasing M2—a fast, low-cost model designed for agents and code—MiniMax has introduced...
