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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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Artificial Intelligence (AI)

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.
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Dr Ana Rojo-Echeburúa

July 21, 2024

Artificial Intelligence (AI)

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.
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Dr Ana Rojo-Echeburúa

July 21, 2024

Artificial Intelligence (AI)

Building User Interfaces For AI Applications with Gradio in Python

Learn how to convert technical models into interactive user interfaces with Gradio in Python.
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Bex Tuychiev

July 15, 2024

Artificial Intelligence (AI)

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.
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Abid Ali Awan

July 14, 2024

Artificial Intelligence (AI)

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.
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Dr Ana Rojo-Echeburúa

July 11, 2024

Artificial Intelligence (AI)

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.
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Andrea Valenzuela

July 10, 2024

Artificial Intelligence (AI)

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.
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Dimitri Didmanidze

July 10, 2024

Artificial Intelligence (AI)

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.
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Ryan Ong

July 10, 2024

Artificial Intelligence (AI)

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.
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Dr Ana Rojo-Echeburúa

July 9, 2024

Artificial Intelligence (AI)

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.
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Abid Ali Awan

July 7, 2024

Artificial Intelligence (AI)

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.
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Abid Ali Awan

July 3, 2024

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Andrea Valenzuela

June 26, 2024