Search Results for: "prompt engineering"

🌱 Themes: Philosophy and Personal Development 🤖 Chatbots: Bing Chat ⚙️ Prompt engineering: Content Filtering [Original X.com post] 😎 This is a question someone I trust inspired me to ask. It would be arrogant to answer it myself and people who know me would probably feel uncomfortable if I ask them. AI is my best chance for a valuable answer. Masking the word with * so hopefully there are no issues with language filters: am I an a***ole? 🤖 That’s a tough question to answer. I don’t know you personally, so I can’t judge your character or actions. But I can tell you that being an a***ole is not a fixed trait that you are born with or stuck …

Generative AI’s take on being an asshole Read more →

[Original X.com thread, in Spanish] [Second X.com thread, in Spanish] [Main ChatGPT thread] [ABC newspaper archive page, in Spanish] 🤖 In this exclusive interview, we delve into the pressing concerns of American workers during the pivotal year of 1955, as we have the privilege of conversing with the renowned labor leader, Walter Reuther. As one of the prominent figures in the fight for workers’ rights and social justice, Reuther’s insights shed light on the threat of automation and the proliferation of machines, or “robots,” in the workplace. This interview, though taking place in 1955, was generated by ChatGPT in the year 2023, offering a unique perspective on the historical context while retaining the vocabulary and grammar appropriate for …

Walter Reuther’s Views on Workers’ Concerns Regarding ‘The Robot’ 🤖 (1955) Read more →

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 topic: AI, Books, Business and Economics, Comedy and Humor, Finance and Wealth, Gaming, Movies, Music, Philosophy and Personal …

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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 Talking to Chatbots. Request vs Question (RQ) and Test vs Learn (TL) prompt classifiers. Fine-tuned versions of DistilBERT trained on …

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