Don't miss any moment of global AI innovation
Daily three-minute AI industry trends
AI industry milestones
AI monetization case sharing
AI image creation monetization cases
AI video creation monetization cases
AI audio creation monetization cases
AI content writing monetization cases
Free sharing of the latest AI tutorials
Shows total visits ranking of AI websites
Track fastest growing AI websites by traffic
Focus on AI websites with significant traffic drops
Shows weekly visits ranking of AI websites
AI websites most popular with US users
AI websites most popular with Chinese users
AI websites most popular with Indian users
AI websites most popular with Brazilian users
Total visits ranking of AI image generation websites
Total visits ranking of AI personal assistant websites
Total visits ranking of AI character generation websites
Total visits ranking of AI video generation websites
GitHub popular AI projects by total stars
GitHub popular AI projects by growth rate
GitHub popular AI developer ranking
GitHub popular AI organization ranking
GitHub popular deepseek open source projects
GitHub popular TTS open source projects
GitHub popular LLM open source projects
GitHub popular ChatGPT open source projects
Overview of GitHub popular AI open source projects
Fully automated LLM evaluator
A framework for few-shot evaluation of language models.
The LLM Evaluation Framework
[CVPR2024 Highlight] VBench - We Evaluate Video Generation
Data-Driven Evaluation for LLM-Powered Applications
Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.
Python SDK for running evaluations on LLM generated responses
[NeurIPS 2024 D&B Spotlight?] ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation
DevQualityEval: An evaluation benchmark ? and framework to compare and evolve the quality of code generation of LLMs.
Test and evaluate LLMs and model configurations, across all the scenarios that matter for your application