AI Tutorials

Llama Stack is a set of standardized tools and APIs developed by Meta that simplifies the process of building and deploying large language model applications.

Customize the GPT-4o Mini model to classify posts from Reddit into "stressful" and "non-stressful" labels.

Learn how to access Llama 3.2 lightweight and vision models on Kaggle, fine-tune the model on a custom dataset using free GPUs, merge and export the model to the Hugging Face Hub, and convert the fine-tuned model to GGUF format so it can be used locally with the Jan application.

Learn how to use Mistral’s Pixtral 12B interactively via Le Chat or programmatically through the API available on La Plateforme.

Learn how to use Flux AI to generate images and explore the features, applications, and use cases of each model in the Flux family: Flux Pro, Flux Dev, and Flux Schnell.

Learn how to make the most of NotebookLM by utilizing its podcast-generating feature and its ability to organize, summarize, and answer questions about your documents.

Learn how to connect to the OpenAI O1 models through the API and manage API costs by understanding reasoning tokens and how to control them.

Corrective RAG (CRAG) is a RAG technique that incorporates self-assessment of retrieved documents to improve the accuracy and relevance of generated responses.

LangGraph Studio is a visual development environment for LangChain’s LangGraph framework, simplifying the development of complex agentic applications built with LangChain components.

Learn how to use OpenAI o1 to build an end-to-end machine learning project from scratch using just one prompt.

CrewAI is a platform that enables developers to build and deploy automated workflows using multiple AI agents that collaborate to perform complex tasks.

Learn how to get started with OpenAI Structured Outputs, understand its new syntax, and explore its key applications.