In this tutorial, we demonstrate the workflow for fine-tuning Mistral 7B using QLoRA with Axolotl, showing how to manage limited […]
Category: Tutorials
Fine-Tuning of Llama-2 7B Chat for Python Code Generation: Using QLoRA, SFTTrainer, and Gradient Checkpointing on the Alpaca-14k Dataset
In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced […]
Creating an AI Agent-Based System with LangGraph: Putting a Human in the Loop
In our previous tutorial, we built an AI agent capable of answering queries by surfing the web and added persistence […]
Fine-Tuning Llama 3.2 3B Instruct for Python Code: A Comprehensive Guide with Unsloth
In this tutorial, we’ll walk through how to set up and perform fine-tuning on the Llama 3.2 3B Instruct model […]
Creating a Medical Question-Answering Chatbot Using Open-Source BioMistral LLM, LangChain, Chroma’s Vector Storage, and RAG: A Step-by-Step Guide
In this tutorial, we’ll build a powerful, PDF-based question-answering chatbot tailored for medical or health-related content. We’ll leveRAGe the open-source […]
Creating an AI Agent-Based System with LangGraph: Adding Persistence and Streaming (Step by Step Guide)
In our previous tutorial, we built an AI agent capable of answering queries by surfing the web. However, when building […]
Creating an AI-Powered Tutor Using Vector Database and Groq for Retrieval-Augmented Generation (RAG): Step by Step Guide
Currently, three trending topics in the implementation of AI are LLMs, RAG, and Databases. These enable us to create systems […]
Creating An AI Agent-Based System with LangGraph: A Beginner’s Guide
What is an Agent? An agent is a Large Language Model (LLM)-powered system that can decide its own workflow. Unlike […]
Building a Retrieval-Augmented Generation (RAG) System with DeepSeek R1: A Step-by-Step Guide
With the release of DeepSeek R1, there is a buzz in the AI community. The open-source model offers some best-in-class […]
What are Haystack Agents? A Comprehensive Guide to Tool-Driven NLP with Code Implementation
Modern NLP applications often demand multi-step reasoning, interaction with external tools, and the ability to adapt dynamically to user queries. […]