Browse and filter machine learning models by category and modality
Browse and submit LLM evaluations
Convert Hugging Face model repo to Safetensors
Run benchmarks on prediction models
Evaluate LLM over-refusal rates with OR-Bench
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Download a TriplaneGaussian model checkpoint
Push a ML model to Hugging Face Hub
Calculate GPU requirements for running LLMs
Merge machine learning models using a YAML configuration file
Merge Lora adapters with a base model
Evaluate reward models for math reasoning
Evaluate RAG systems with visual analytics
The 2025 AI Timeline is a cutting-edge tool designed to help users explore and track advancements in artificial intelligence. It focuses on model benchmarking, allowing users to browse and filter machine learning models based on categories and modalities. This tool provides a comprehensive overview of AI developments, enabling users to stay updated on the latest trends and breakthroughs in the field.
What is the purpose of the 2025 AI Timeline?
The 2025 AI Timeline is designed to provide a structured way to explore and compare machine learning models, helping users stay informed about the latest advancements in AI.
Can I filter models by specific categories or modalities?
Yes, the tool allows you to filter models by category (e.g., NLP, computer vision) and modality (e.g., text, images) to find the most relevant models for your needs.
Is the 2025 AI Timeline suitable for non-experts?
Absolutely! The platform features an intuitive interface and interactive visualizations, making it accessible to both experts and non-experts interested in AI advancements.