Discover how DeepMath uses small LLMs and Python code snippets to boost accuracy and cut output lengths in math reasoning tasks.
Math Reasoning Agents: Are Small Models Better? Read More »
Learn how deep research agents can be optimized through context engineering and agent harness design to improve LLM performance and reduce token use.
Deep Research Agents: Are You Using the Right Approach? Read More »
Explore how Transformers v5 shifts to full PyTorch support, simplifies AI modeling, enhances training, inference, and makes quantization first-class.
Transformers v5: Is PyTorch Now the Only Choice? Read More »
Learn how Claude fine-tunes open-source LLMs with Hugging Face Skills, handles GPU jobs, and simplifies AI training for developers.
Claude Fine-Tuning AI Models: Can You Trust It? Read More »
Join the AMD Open Robotics Hackathon 2025 in Tokyo or Paris. Build AI-powered robots with LeRobot, win prizes, and push real-world innovation.
Robotics Hackathon: Should You Join in 2025? Read More »
Explore how China’s AI chip innovation is challenging NVIDIA, reshaping global compute, and driving the open-source model revolution.
AI Chips in China: Will They Replace NVIDIA? Read More »
Can you distill efficient reasoning into existing LLMs using task-specific data? Discover how Apriel-H1 achieves 2.1x throughput with minimal quality loss.
Efficient Attention Models: Is Distillation Enough? Read More »
Explore trends in the Open ASR Leaderboard, from LLM-boosted models to multilingual & long-form transcription accuracy vs speed tradeoffs.
Open ASR Leaderboard: Is Multilingual Audio Solved? Read More »
Fine-tune TRL models 20x faster with RapidFire AI using adaptive scheduling, multi-GPU support, and live control. Maximize throughput & model accuracy.
TRL Fine-Tuning: Is RapidFire AI Really 20x Faster? Read More »
Learn to build ROCm kernels using Hugging Face tools. Streamline development, integrate with PyTorch, and deploy with ease to the community Hub.
ROCm Kernels: How Do You Build and Share Them? Read More »
