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Talking to Chatbots is a knowledge hub, created by people, augmented by the wonders of generative AI. Chatbots help us connect the power of technology with human ingenuity through conversation and curiosity. This page compiles chatbot conversations and articles posted on the blog, social media, and other channels. There are endless possibilities for learning and creating using generative AI and LLM (large language model) chatbots, so it’s worth sharing our experience with prompts, answers, prompt engineering, prompt hacking tips, or just having fun. Currently, chats are organized by theme. Each category includes specific posts or conversations that align with the …

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Generative AI Resources Datasets Talking to Chatbots dataset. Over 2,800 chatbot conversations: Talking to Chatbots unwrapped chats. Over 10,000 chatbot prompts, with their corresponding LLM inference, detailed statistics, and metrics: NLI Chatbot Prompt Categorization dataset. Over 1,000 annotated LLM prompts, from diverse real-world sources (lmsys/lmsys-chat-1m, reddgr/talking-to-chatbots-chats), suitable for textual entailment and natural language inference (NLI) tasks. Find all the datasets on my Hugging Face page. Models NLI Chatbot Prompt Categorization. A fine-tuned version of BART I trained locally on the reddgr/nli-chatbot-prompt-categorization dataset. A lightweight model specialized in categorizing chatbot prompts with zero-shot inference. I use it for categorizing all conversations shared in …

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