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Residual connections are one of the least questioned parts of modern Transformer design. In PreNorm architectures, each layer adds its...
In this tutorial, we build a workflow using Outlines to generate structured and type-safe outputs from language models. We work...
Why Document OCR Still Remains a Hard Engineering Problem? What does it take to make OCR useful for real documents...
Most LLM agents work well for short tool-calling loops but start to break down when the task becomes multi-step, stateful,...
For decades, manufacturers have pursued automation to drive efficiency, reduce costs, and stabilize operations. That approach delivered meaningful gains, but...
arXiv:2603.11409v1 Announce Type: cross Abstract: Existing voice AI assistants treat every detected pause as an invitation to speak. This works...
arXiv:2506.16584v2 Announce Type: replace Abstract: People judge interactions with large language models (LLMs) as successful when outputs match what they...
Google AI Research team recently released Groundsource, a new methodology that uses Gemini model to extract structured historical data from...
MoDAl: Self-Supervised Neural Modality Discovery via Decorrelation for Speech Neuroprosthesis
Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation
MIT’s LEGO: A Compiler for AI Chips that Auto-Generates Fast, Efficient Spatial Accelerators
MIT Technology Review’s most popular stories of 2025
MIT Researchers Enhanced Artificial Intelligence (AI) 64x Better at Planning, Achieving 94% Accuracy
MIT Researchers Develop Methods to Control Transformer Sensitivity with Provable Lipschitz Bounds and Muon
Mistral launches new code embedding model that outperforms OpenAI and Cohere in real-world retrieval tasks
Mistral just updated its open source Small model from 3.1 to 3.2: here’s why
Mistral AI’s new coding assistant takes direct aim at GitHub Copilot
Mistral AI Unveils Mistral Medium 3.1: Enhancing AI with Superior Performance and Usability
