๐๐ ๐๐ต๐ฎ๐๐๐ฃ๐ง ๐๐ต๐ฒ ๐ฏ๐ฒ๐๐ ๐๐๐ ?
As large language models (LLMs) continue to evolve and expand their capabilities, the need for comprehensive and unbiased benchmarking methodologies becomes more important. I have discovered a website that uses human feedback to evaluate and rank LLMs based on their conversational abilities.
๐๐ต๐ฎ๐๐ฏ๐ผ๐ ๐๐ฟ๐ฒ๐ป๐ฎ presents users with a side-by-side comparison of two anonymous LLM responses to a given prompt or question. Without prior knowledge of which LLM generated which response, users are tasked with selecting the answer that they find more engaging, informative, and relevant.
This approach eliminates biases that could arise from preconceptions about specific LLMs, ensuring a more objective and unbiased evaluation process. By crowdsourcing human feedback, Chatbot Arena gathers a vast dataset of user preferences, allowing the relative strengths and weaknesses of each LLM to emerge.
๐๐ผ ๐๐ผ๐ ๐๐ต๐ถ๐ป๐ธ ๐๐ต๐ฎ๐๐๐ฃ๐ง ๐ถ๐ ๐๐ต๐ฒ ๐ฏ๐ฒ๐๐ ๐๐๐ ? Yes, but BARD has improved considerably over the last few months to take second place. If they continue to improve at this rate they could soon overtake ChatGPT. I wouldn't bet against Google ๐
Link in the first comment.