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Technologies
AI Tutorials
Keep up to date with the latest techniques, tools, and research in artificial intelligence. Out AI tutorials will walk you though challenging machine learning models.
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A Beginner's Guide to The OpenAI API: Hands-On Tutorial and Best Practices
This tutorial introduces you to the OpenAI API, it's use-cases, a hands-on approach to using the API, and all the best practices to follow.
Arunn Thevapalan
October 18, 2023
Fine-Tuning LLaMA 2: A Step-by-Step Guide to Customizing the Large Language Model
Learn how to fine-tune Llama-2 on Colab using new techniques to overcome memory and computing limitations to make open-source large language models more accessible.
Abid Ali Awan
October 19, 2023
How to Run Stable Diffusion
Explore generative AI with our introductory tutorial on Stable Diffusion. Learn how to run the deep learning model online and locally to generate detailed images.
Kurtis Pykes
May 19, 2023
All posts
Zero-Shot Prompting: Examples, Theory, Use Cases
Zero-shot prompting is a technique in which an AI model is given a task or question without any prior examples or specific training on that task, relying solely on its pre-existing knowledge to generate a response.
Dr Ana Rojo-Echeburúa
July 21, 2024
Few-Shot Prompting: Examples, Theory, Use Cases
Few-shot prompting is a technique in which an AI model is given a few examples of a task to learn from before generating a response, using those examples to improve its performance on similar tasks.
Dr Ana Rojo-Echeburúa
July 21, 2024
Building User Interfaces For AI Applications with Gradio in Python
Learn how to convert technical models into interactive user interfaces with Gradio in Python.
Bex Tuychiev
July 15, 2024
RAG vs Fine-Tuning: A Comprehensive Tutorial with Practical Examples
Learn the differences between RAG and Fine-Tuning techniques for customizing model performance and reducing hallucinations in LLMs.
Abid Ali Awan
July 14, 2024
Qwen (Alibaba Cloud) Tutorial: Introduction and Fine-Tuning
Qwen is a family of large language and multimodal models developed by Alibaba Cloud, designed for various tasks like text generation, image understanding, and conversation.
Dr Ana Rojo-Echeburúa
July 11, 2024
Chain-of-Thought Prompting: Step-by-Step Reasoning with LLMs
Unlock the full potential of Large Language Models (LLMs) with our guide on Chain-of-Thought (CoT) prompting. Learn how to enhance reasoning and problem-solving abilities in LLMs.
Andrea Valenzuela
July 10, 2024
MatMul-Free vs MatMul LLMs: Speed and Memory Consumption
This article compares the performance of MatMul-free and traditional large language models in terms of speed and memory usage.
Dimitri Didmanidze
July 10, 2024
GPT-4o and LangGraph Tutorial: Build a TNT-LLM Application
This article presents a practical guide to implementing TNT-LLM, a framework that automates taxonomy generation and text classification using LLMs, demonstrated through a news article clustering example with GPT-4 and LangGraph.
Ryan Ong
July 10, 2024
Prompt Chaining Tutorial: What Is Prompt Chaining and How to Use It?
Prompt chaining is a technique that involves breaking down a complex task into a series of smaller, interconnected prompts, where the output of one prompt serves as the input for the next, guiding the LLM through a structured reasoning process.
Dr Ana Rojo-Echeburúa
July 9, 2024
DuckDB Tutorial: Building AI Projects
This tutorial guides you through DuckDB's key features and practical applications, including building tables, performing data analysis, building an RAG application, and using an SQL query engine with LLM.
Abid Ali Awan
July 7, 2024
Cohere Command R+: A Complete Step-by-Step Tutorial
Explore Cohere Command R+ online and locally, learn about the unique features of the Cohere Python API, and build a multi-step AI agent using LangChain and Cohere.
Abid Ali Awan
July 3, 2024
Quantization for Large Language Models (LLMs): Reduce AI Model Sizes Efficiently
A Comprehensive Guide to Reducing Model Sizes
Andrea Valenzuela
June 26, 2024