AI Tutorials

Learn to build a RAG application with Llama 3.1 8B using Ollama and Langchain by setting up the environment, processing documents, creating embeddings, and integrating a retriever.

Learn how to fine-tune Meta AI's SAM 2 using the Chest CT Segmentation dataset to improve the model's image segmentation performance in medical image analysis.

Learn how to fine-tune TimeGPT, the first foundational model for time series datasets, for forecasting and anomaly detection with just a few lines of code.

Learn how to fine-tune LLMs on custom datasets, evaluate performance, and seamlessly export and serve models using the LLaMA-Factory's low/no-code framework.

Learn how to install Cursor AI on Windows, macOS, and Linux, and discover how to use it through 10 different use cases.

RankGPT is a method that uses LLMs like ChatGPT to re-rank retrieved documents in RAG systems, improving the quality of the output by prioritizing the most relevant information.

A comprehensive tutorial on building multi-tool LangChain agents to automate tasks in Python using LLMs and chat models using OpenAI.

Learn the foundational principles, applications, and practical benefits of variational autoencoders and follow a step-by-step implementation with PyTorch.

Get started with Apple's DCLM-7B large language model and learn how to set it up, use it, and fine-tune it for specific tasks.

Learn how to set up PyTorch’s torchchat locally with Python in this hands-on tutorial, which provides step-by-step guidance and examples.

Tiktoken is a fast BPE tokenizer developed by OpenAI, primarily used to count tokens for their large language models and ensure efficient text processing within specified limits.

Learn how to perform data and model validation to ensure robust machine learning performance using our step-by-step guide to automating testing with DeepChecks.