Gemma 3n supports vision, audio, and text with just 2-4GB of VRAM. Learn how to use, fine-tune, and deploy this open-source multimodal model today.
Gemma 3n: Is It the Most Efficient Multimodal Model? Read More »
Explore 3LM, a new benchmark evaluating Arabic LLMs in STEM subjects and code. See how they perform in real-world and synthetic tests.
Arabic LLMs in STEM: Are They Truly Ready? Read More »
Learn how to build a Gradio MCP server in Python to power an AI shopping assistant using LLMs, IDM-VTON, and VS Code AI Chat.
Gradio MCP Server: Is It Worth Using in Python? Read More »
Discover why Hugging Face replaced huggingface-cli with the new ‘hf’ command and how it simplifies your workflows.
Hugging Face CLI: Why Switch to ‘hf’? Read More »
Discover how Trackio compares to WandB for experiment tracking in ML. Learn about features, setup, and when to use Trackio for your AI research.
Trackio vs. WandB: Should You Make the Switch? Read More »
Do video-language models truly understand long videos or just retrieve frames? Explore how TimeScope benchmarks real long-video comprehension.
Video-Language Models: Can They Really Handle Hours? Read More »
Discover how Parquet content-defined chunking boosts deduplication, cuts storage costs, and improves data transfer with Xet storage and Hugging Face.
Parquet Content-Defined Chunking: Is Dedupe Worth It? Read More »
Learn how to optimize LoRA inference with Flux using torch.compile, quantization, Flash Attention & hotswapping for massive speedups on GPUs.
LoRA Inference: How to Speed Up Flux Models? Read More »
Can AI agents forecast real-world events? Explore FutureBench’s approach to testing predictive reasoning in models using news & prediction markets.
AI Forecasting: Can Agents Predict the Future? Read More »
Explore how AI models like STATE simulate gene silencing effects using cell embeddings and RNA sequencing data in the Virtual Cell Challenge.
Virtual Cell Challenge: Can AI Really Simulate Genes? Read More »
