/plushcap/analysis/monster-api/monster-api-blogs-top-12-llm-leaderboards-to-help-you-choose-the-right-model

Top 12 LLM Leaderboards to Help You Choose the Right Model

What's this blog post about?

The article presents the top 12 LLM leaderboards that can help users choose the right AI model for their needs. These leaderboards evaluate models based on various parameters such as reasoning abilities, general knowledge, text embeddings, code generation capabilities, function-calling skills, and more. Some of the notable leaderboards include Open LLM Leaderboard, MTEB Leaderboard, Big Code Models Leaderboard, SEAL Leaderboards, Berkeley Function-Calling Leaderboard, Occiglot Euro LLM Leaderboard, LMSYS Chatbot Arena Leaderboard, Artificial Analysis LLM Performance Leaderboard, Open Medical LLM Leaderboard, Hughes Hallucination Evaluation Model (HHEM) Leaderboard, OpenVLM Leaderboard, and 🤗 LLM-Perf Leaderboard. These leaderboards provide detailed results and specifications for each model on Hugging Face, making it easier for users to select the most suitable AI model for their applications.

Company
Monster API

Date published
Sept. 30, 2024

Author(s)
Sparsh Bhasin

Word count
1118

Hacker News points
None found.

Language
English


By Matt Makai. 2021-2024.