Compare the performance of open-source Large Language Models using multiple benchmarks like IFEval, BBH, MATH, GPQA, MUSR, and MMLU-PRO. Filter results in real-time and vote on your favorite models.| huggingface.co
Today, we are excited to introduce DBRX, an open, general-purpose LLM created by Databricks. Across a range of standard benchmarks, DBRX sets a new state-of-the-art for established open LLMs. Moreover, it provides the open community and enterprises building their own LLMs with capabilities that were previously limited to closed model APIs; according to our measurements, it surpasses GPT-3.5, and it is competitive with Gemini 1.0 Pro. It is an especially capable code model, surpassing speciali...| Databricks
A wrapper for sharding module parameters across data parallel workers.| pytorch.org
Retrieval augmented generation or RAG is an architectural approach that pulls your data as context for large language models (LLMs) to improve relevancy.| Databricks