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AI News

AlphaFold: Five years of impact

Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.

πŸ“… 2025-11-25 | πŸ“° Google DeepMind Blog
#ai-news #alphafold #five

Continuous batching from first principles

TL;DR: in this blog post, starting from attention mechanisms and KV caching, we derive continuous batching by optimizing for throughput. If you've ever used Qwen, Claude, or any other AI chatbot, you'

πŸ“… 2025-11-25 | πŸ“° Hugging Face Blog
#ai-news #continuous #batching

Building Deep Research: How we Achieved State of the Art

Building Deep Research: How we Achieved State of the Art The task of building an agent harness is to create a software layer that enhances a model’s runtime execution through context management, tool

πŸ“… 2025-11-24 | πŸ“° Hugging Face Blog
#ai-news #building #deep

OVHcloud on Hugging Face Inference Providers πŸ”₯

OVHcloud on Hugging Face Inference Providers πŸ”₯ We're thrilled to share that OVHcloud is now a supported Inference Provider on the Hugging Face Hub! OVHcloud joins our growing ecosystem, enhancing the

πŸ“… 2025-11-24 | πŸ“° Hugging Face Blog
#ai-news #ovhcloud #hugging

20x Faster TRL Fine-tuning with RapidFire AI

20x Faster TRL Fine-tuning with RapidFire AI When fine-tuning or post-training LLMs, teams often do not have the time and/or budget to compare multiple configs even though that can significantly boost

πŸ“… 2025-11-21 | πŸ“° Hugging Face Blog
#ai-news #faster #trl

How we’re bringing AI image verification to the Gemini app

We are increasing content transparency by introducing the ability to verify if an image was generated or edited by Google AI right in the Gemini app. How we’re bringing AI image verification to the Ge

πŸ“… 2025-11-20 | πŸ“° Google DeepMind Blog
#ai-news #bringing #image

Build with Nano Banana Pro, our Gemini 3 Pro Image model

Here’s how developers can use Nano Banana Pro (Gemini 3 Pro Image), a powerful new image generation and editing model with advanced features and creative control. Build with Nano Banana Pro, our Gemin

πŸ“… 2025-11-20 | πŸ“° Google DeepMind Blog
#ai-news #build #nano

Introducing Nano Banana Pro

Turn your visions into studio-quality designs with unprecedented control, improved text rendering and enhanced world knowledge. Google DeepMind introduces Nano Banana Pro, a new image generation and e

πŸ“… 2025-11-20 | πŸ“° Google DeepMind Blog
#ai-news #introducing #nano

Early experiments in accelerating science with GPT-5

OpenAI introduces the first research cases showing how GPT-5 accelerates scientific progress across math, physics, biology, and computer science. Explore how AI and researchers collaborate to generate

πŸ“… 2025-11-20 | πŸ“° OpenAI News
#ai-news #early #experiments

GPT-5.1-Codex-Max System Card

This system card outlines the comprehensive safety measures implemented for GPT‑5.1-CodexMax. It details both model-level mitigations, such as specialized safety training for harmful tasks and prompt

πŸ“… 2025-11-19 | πŸ“° OpenAI News
#ai-news #gpt-5 #codex-max

How evals drive the next chapter in AI for businesses

Learn how evals help businesses define, measure, and improve AI performanceβ€”reducing risk, boosting productivity, and driving strategic advantage.

πŸ“… 2025-11-19 | πŸ“° OpenAI News
#ai-news #evals #drive

OpenAI and Target team up on new AI-powered experiences

OpenAI and Target are partnering to bring a new Target app to ChatGPT, offering personalized shopping and faster checkout. Target will also expand its use of ChatGPT Enterprise to boost productivity a

πŸ“… 2025-11-19 | πŸ“° OpenAI News
#ai-news #openai #target

Building more with GPT-5.1-Codex-Max

Introducing GPT-5.1-Codex-Max, a faster, more intelligent agentic coding model for Codex. The model is designed for long-running, project-scale work with enhanced reasoning and token efficiency.

πŸ“… 2025-11-19 | πŸ“° OpenAI News
#ai-news #building #more

Apriel-H1: The Surprising Key to Distilling Efficient Reasoning Models

Apriel-H1: The Surprising Key to Distilling Efficient Reasoning Models When MiniMax published their M2 post-mortem in October explaining why they abandoned efficient attention at 230B scale, the narra

πŸ“… 2025-11-19 | πŸ“° Hugging Face Blog
#ai-news #apriel-h1 #surprising