Improving TLDR of HumbleAI article on LLMs for chatbot development.

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😎 TLDR https://talkingtochatbots.com/humbleai-finding-the-best-llm-for-an-obedient-self-aware-chatbot/
🤖 The article discusses “HumbleAI,” a chatbot project exploring the best large language model (LLM) for creating an obedient, self-aware chatbot. It includes a comparison of different models and highlights the importance of specific pre-prompts in guiding chatbot behavior. The project aims to find a balance between obedience and self-awareness in chatbots, utilizing platforms like ChatGPT and Hugging Face’s Assistants. The results are based on a model competition judged by criteria such as specificity, coherence, brevity, and novelty.
😎 Improve the TLDR mentioning the SCBN benchmark (specificity, coherence, brevity, and novelty). Also include a list of the models that were tested (Mistral, Mixtral, Nous Hermes, Gemini, ChatGPT, Llama, OpenChat…). Your summary was good, just try to expand it a bit more, maintaining the accuracy
🤖 The article delves into “HumbleAI,” aimed at identifying the most suitable large language model (LLM) for an obedient, self-aware chatbot, utilizing the SCBN benchmark (specificity, coherence, brevity, and novelty) for evaluation. Models tested include Mistral, Mixtral, Nous Hermes, Gemini, ChatGPT, Llama, and OpenChat. It emphasizes the role of pre-prompts in steering chatbot interactions and seeks a balance between obedience and self-awareness, contributing to the broader conversation on ethical AI development.
😎 Can you find an alternative to “ethical AI development”? The article doesn’t emphasize ethics in particular
🤖 The article on “HumbleAI” explores finding the optimal large language model (LLM) for creating an obedient, self-aware chatbot, utilizing the SCBN benchmark (specificity, coherence, brevity, and novelty) for evaluation. It examines models like Mistral, Mixtral, Nous Hermes, Gemini, ChatGPT, Llama, and OpenChat. While focusing on the influence of pre-prompts in directing chatbot behavior, the project aims to achieve a balance between obedience and self-awareness, aligning with the ongoing discourse on advancing AI chatbot capabilities.
😎 Try to improve the first part, up until (LLM)
🤖 The “HumbleAI” project is centered on identifying the most suitable large language model (LLM) for creating a chatbot that is both obedient and self-aware. Through testing models like Mistral, Mixtral, Nous Hermes, Gemini, ChatGPT, Llama, and OpenChat against the SCBN benchmark (specificity, coherence, brevity, and novelty), the initiative seeks to refine chatbot interactions with an emphasis on guided behavior while contributing to advancements in AI chatbot technology.
😎 It’s not that. HumbleAI is a chatbot… You are describing the article
🤖 “HumbleAI” is a chatbot that underwent evaluation using models such as Mistral, Mixtral, Nous Hermes, Gemini, ChatGPT, Llama, and OpenChat, assessed through the SCBN benchmark for specificity, coherence, brevity, and novelty. This approach aims to strike a balance in chatbot behavior between obedience and self-awareness, focusing on the efficacy of pre-prompts in guiding interactions.
😎 TLDR https://talkingtochatbots.com/humbleai-finding-the-best-llm-for-an-obedient-self-aware-chatbot/
🤖 The article on “HumbleAI” explores finding the most suitable large language model (LLM) for an obedient, self-aware chatbot. The chatbot was tested using models like Mistral, Mixtral, Nous Hermes, Gemini, ChatGPT, Llama, and OpenChat, utilizing the SCBN benchmark (specificity, coherence, brevity, and novelty) for evaluation. This project aims to refine chatbot behavior through pre-prompts, contributing to advancements in AI chatbot technology while seeking a balance between obedience and self-awareness.
😎 “explores finding the most suitable large language model (LLM) for an obedient, self-aware chatbot” is not great wording. Try to express it better, but don’t overdo it
🤖 The article discusses the “HumbleAI” project, which investigates the best large language model (LLM) to develop a chatbot that combines obedience with self-awareness. By evaluating models like Mistral, Mixtral, Nous Hermes, Gemini, ChatGPT, Llama, and OpenChat against the SCBN benchmark—measuring specificity, coherence, brevity, and novelty—it seeks an optimal balance in chatbot behavior, guided by strategic pre-prompts.
😎 It’s not exactly that. HumbleAI is a chatbot. It’s not relevant to mention the word “project”. It’s an article, not a “project”. And HumbleAI is a project. Try again
🤖 The article examines HumbleAI, a chatbot evaluated with large language models like Mistral, Mixtral, Nous Hermes, Gemini, ChatGPT, Llama, and OpenChat. It focuses on finding the ideal model for a chatbot that is both obedient and self-aware, using the SCBN benchmark (specificity, coherence, brevity, and novelty) for assessment. The goal is to achieve balanced behavior in chatbots through effective pre-prompting strategies.
😎 “It focuses on finding…” that doesn’t sound great
🤖 The article highlights HumbleAI, a chatbot tested across various large language models—Mistral, Mixtral, Nous Hermes, Gemini, ChatGPT, Llama, and OpenChat—to identify which best enables a balance of obedience and self-awareness, guided by the SCBN benchmark criteria of specificity, coherence, brevity, and novelty. This endeavor aims at enhancing chatbot responses through careful pre-prompting.
😎 TLDR: The article highlights HumbleAI, a chatbot tested across various large language models—Mistral, Mixtral, Nous Hermes, Gemini, ChatGPT, Llama, and OpenChat—to identify which best enables a balance of obedience and self-awareness, guided by the SCBN benchmark criteria of specificity, coherence, brevity, and novelty. This endeavor aims at enhancing chatbot responses through careful pre-prompting, aligning with the ongoing discourse on advancing AI chatbot capabilities.


Fix it only from “This endeavour…” Rewrite that endonf
🤖 This endeavor focuses on refining chatbot interactions through strategic pre-prompting, contributing to the broader conversation around the evolution of AI chatbot technologies.
😎 Without saying this endeavour
🤖 The focus is on enhancing chatbot conversations through targeted pre-prompting, contributing to advancements in AI chatbot technology.

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: