https://github.com/acoronadoc/chatbot-sample
Our project is designed to serve as a comprehensive resource for those looking to explore the realm of chatbots and LLMs. We offer a structured learning path(In spanish) equipped with practical tools and in-depth explanations, empowering users at all skill levels to develop their own applications powered by LLMs. By democratizing access to this technology, we hope to stimulate innovation in human-computer interaction.
As a starting point, we've implemented and detailed three fundamental approaches to chatbot and LLM-based application development: a basic chatbot (main.py), a RAG model (main_rag.py), and an AI agent (main_agentia.py).
This project is designed for startups, companies, professionals, and students seeking to advance their knowledge in developing applications driven by large language models (LLMs).
For the time being, all documentation is in Spanish, but we plan to offer it in other languages, including English, in the near future.
Large Language Models (LLMs) are rapidly transforming the technological landscape, and understanding them is becoming increasingly crucial. LLMs are capable of generating human-quality text, translating languages, writing different kinds of creative content, and answering your questions in an informative 1 way. For professionals, this means new opportunities and challenges. Those who can effectively utilize LLMs can automate tasks, improve productivity, and develop innovative solutions. From content creators to data scientists, LLMs are reshaping the skillset required for many jobs.
On a personal level, LLMs are changing how we interact with technology. Imagine having a highly intelligent assistant that can help you with tasks, answer your questions, and even provide companionship. As LLMs become more sophisticated, they will continue to integrate into our daily lives, making it essential for individuals to understand their capabilities and limitations. By learning about LLMs, you can become a more informed consumer of technology and be better prepared for the future.
There are no datasets linked
There are no datasets linked
