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Llama

Evaluating Long-Context LLMs

This paper proposes a novel way to evaluate large language models (LLMs) that claim to handle long contexts effectively. The researchers introduce a benchmark known as N, enhancing the traditional Needle-in-a-Haystack (NIAH) tests by eliminating literal matches between the search context and the re

Supercharging Open-source LLMs: Your Gateway to 250+ Models

The Rise of Open-source LLMs in Production

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace - Summary

The paper proposes HuggingGPT, a system that uses large language models (LLMs) like ChatGPT to connect various AI models in machine learning communities like HuggingFace to solve complicated AI tasks. The system leverages the strong language capability of ChatGPT and abundant AI models in HuggingFa

Instruction Tuning with GPT-4 - Summary

The paper presents the first attempt to use GPT-4 to generate instruction-following data for Large Language Models (LLMs) finetuning. The 52K English and Chinese instruction-following data generated by GPT-4 leads to superior zero-shot performance on new tasks compared to the instruction-following