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Deploy LLMs with Hugging Face Inference Endpoints

Hugging Face

MTEB: Massive Text Embedding Benchmark

Hugging Face

Accelerating Qwen3-8B Agent on Intel® CoreTM Ultra with Depth-Pruned Draft Models

Hugging Face

GLM-5.2: Built for Long-Horizon Tasks

Hugging Face

How to choose the right open model for production

Together.ai

Learn how to choose the right open-source model for production by evaluating model quality, benchmarking performance, and deploying open models that balance cost, speed, and accuracy.

Introducing GPT-5.4 mini and nano

OpenAI

GPT-5.4 mini and nano are smaller, faster versions of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads.

AI literacy resources for teens and parents

OpenAI

OpenAI shares new AI literacy resources to help teens and parents use ChatGPT thoughtfully, safely, and with confidence. The guides include expert-vetted tips for responsible use, critical thinking, healthy boundaries, and supporting teens through emotional or sensitive topics.

Letting Large Models Debate: The First Multilingual LLM Debate Competition

Hugging Face

17 Reasons Why Gradio Isn't Just Another UI Library

Hugging Face

How to evaluate and benchmark Large Language Models (LLMs)

Together.ai

Understanding how to evaluate and benchmark Large Language Models (LLMS). Test, compare, and understand LLMs.

Replit expands access to software creation with GPT-5.6 Luna

OpenAI

Replit introduces Free Mode, powered by GPT-5.6 Luna, so anyone can turn ideas into working software without worrying about token costs.