RECENT POSTS
LangChain: Observability with LangSmith
The goal of this post is to enhance the chatbot developed in the previous post by introducing an agent capable of using a tool to retrieve information from the internet whenever needed. In addition, LangSmith is presented as an observability layer, enabling the tracking of agent executions and the analysis of each step of the…
LangChain: Chatbot
LangChain is an open-source framework designed to simplify the development of applications based on Large Language Models (LLMs). It provides a modular architecture that makes it easy to integrate language models, prompts, memory mechanisms, external APIs, and diverse data sources, enabling the creation of organized, flexible, and extensible solutions. The goal of this post is…
Fine-Tuning: QLoRA
The goal of this post is to demonstrate how to fine-tune an LLM (Llama-3.1-8B-Instruct) using QLoRA to solve a classic machine learning task: classifying emails as spam or not spam. If you haven’t read the previous post on fine-tuning yet, I highly recommend doing so, as it covers the foundational concepts, approaches, parameters, and other…
Edvaldo Melo 