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Smaller, faster, safer: running Kimi and GLM at scale

Cloudflare's blog post details techniques for deploying Kimi and GLM large language models at scale with reduced size, improved latency, and enhanced safety. The article explores optimization strategies that enable effic…

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Wnuan: Staged Post-Training for Question Answering over Proprietary Enterprise Knowledge

Wnuan introduces a three-stage pipeline for enterprise question answering that preserves general language capabilities while incorporating proprietary knowledge. The process builds task-oriented supervision from document…

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GEOID-Flood: A Large-Scale Multi-Modal Benchmark Dataset for Flood Segmentation

GEOID-Flood is a large-scale multi-modal benchmark dataset for flood segmentation that combines bi-temporal SAR

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WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity

WorldExam introduces a new benchmark for evaluating controllable video generation models acting as world models. Unlike existing benchmarks that focus on visual quality, WorldExam assesses inherent reactivity—the model's…

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EMBL AI Librarian: Life-Sciences Knowledge Layer for AI Agents

The EMBL AI Librarian project develops a specialized knowledge layer for AI agents in life-sciences, addressing limitations of existing resources like Europe PMC that require complex syntax and manual searches. It aims t…

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AirLLM 70B inference with single 4GB GPU

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Building AI Data Pipelines — How to Feed Your LLM Fresh Web Data

Your AI is only as good as its data. Here's how to build automated data pipelines. The Problem Most developers still write custom scripts for data collection. This means: Hours of develo

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Trump admin invited OpenAI, Anthropic and Google to the White House on Tuesday to preview the new AI voluntary framework, AI companies were lobbying for specific language on issues including open-source

The voluntary framework outlined in the June 2nd executive order is complete. Discussions with industry about next steps are underway. Reps from the AI companies will be meeting

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Prevent cognitive debt by manually retyping LLM-generated code

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How to Set Up Your First AI Phone Calling Agent with Bland AI

Bland AI provides a platform for creating AI-driven phone calling agents to replace expensive call centers and traditional IVR systems. The tool allows users to automate voice interactions and streamline customer communi…

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MiniMax-H3 now on huggingface

MiniMax H3 is an omni-modal generative system capable of understanding and generating content across text, images, video, and audio. It generates video with native stereo audio at resolutions up to 2K and durations of up…

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Alibaba Qwen Releases Qwen3.8-Max: A 2.4 Trillion Parameter MoE Model and the Most Capable One in the Qwen Family to Date

Alibaba Qwen has released Qwen3.8-Max, a 2.4 trillion parameter mixture-of-experts model supporting text, image, and video inputs with a 1M context window and open weights coming next week. The model leads the Fable5 lea…

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