Aug 25, 2023 · In this comprehensive course, you will learn how to create your very own large language model from scratch using Python. Elliot Arledge created this course. He will teach you about the data handling, mathematical concepts, and transformer architectures that power these linguistic juggernauts.

Dec 16, 2024 · In this article, I’ll show you how to build a simple command-line chat application in Python, mimicking ChatGPT using Llama by Meta. You’ll also learn how to run models locally with Ollama ...

You've taken your first steps in building and deploying a LLM application with Python. Starting from understanding the prerequisites, installing necessary libraries, and writing the core application code, you have now created a functional AI personal assistant.

A set of instructional materials, code samples and Python scripts featuring LLMs (GPT etc) through interfaces like llamaindex, langchain, Chroma (Chromadb), Pinecone etc. Mainly used to store reference code for my LangChain tutorials on YouTube.

Jul 26, 2023 · First of all, we use the %%bash statement to run the install commands in a single cell as a bash command in the Jupyter Notebook. Trl: used to train transformer language models with reinforcement learning. Peft uses the parameter-efficient fine-tuning (PEFT) methods to enable efficient adaptation of the pre-trained model.

In this quiz, you'll test your understanding of building a retrieval-augmented generation (RAG) chatbot using LangChain and Neo4j. This knowledge will allow you to create custom chatbots that can retrieve and generate contextually relevant responses based on both structured and unstructured data.

Apr 18, 2025 · Time to get started with the real process. The first thing we need is locally downloading an LLM. Even though in a real scenario you may want a bigger LLM, to make our example relatively lightweight, we will load a relatively smaller LLM (I know, this just sounded contradictory!), namely the Llama 2 7B quantized model, available from Hugging Face:

Jul 1, 2024 · Large Language Models (LLMs) have revolutionized natural language processing, enabling applications like chatbots, text completion, and more. In this guide, we’ll walk through the process of building a simple text generation model from scratch using Python.

Feb 13, 2024 · Learn to build AI applications using the OpenAI API. If you're captivated by the transformative powers of Generative AI and LLMs, this tutorial is perfect for you. Here, we explore LangChain - An open-source Python framework for building applications based on Large Language Models such as GPT.

Apr 20, 2024 · This simple example demonstrates how to interact with an LLM using Python and the OpenAI API. By sending prompts to the model and receiving text-based responses, you can build applications that leverage the power of LLMs for tasks such as content generation, customer support, language translation, and more.