Insights and rankings for LLM performance on Hugging Face and references request.
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😎 A crowd-sourced space on Hugging Face that provides insights into LLM performance with its rankings based on people’s votes. Below, you can check the latest rankings, as well as find links to participate and explore all model pages.
🤖 Your text is clear and informative, with only minor adjustments needed for optimal clarity and grammar:😎 Is this sentence correct?
– Consider specifying what “LLM” stands for to ensure clarity for all readers.
– Add a call to action to encourage participation more explicitly.
Revised version:
“A crowd-sourced space on Hugging Face provides insights into Large Language Model (LLM) performance, with its rankings based on people’s votes. Below, you can check the latest rankings, as well as find links to participate and explore all model pages.”
Summary of Changes:
– Added the full form of “LLM” for clarity.
– Minor rephrasing for smoothness and clarity.
“Suggest references to research more on the Internet advertising oligopoly”
🤖 Your sentence is understandable but can be slightly rephrased for better clarity and conciseness. Here’s a refined version:
“Recommend resources to further research the Internet advertising oligopoly.”
Summary of Changes:
– Changed “Suggest references” to “Recommend resources” for a more direct and clear instruction.
– Simplified “more on” to “further” for conciseness and flow.
Hugging Face Dataset Metrics
All the conversation prompts, responses, and metrics are available to download and explore on Hugging Face dataset reddgr/talking-to-chatbots-chats: