Учебные материалы по ИИ

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.

Learn how to set up Replit Agent and discover how to use it through an example walkthrough and 10 real-world use cases.

Reflection Llama-3.1 70B, trained with Reflection-Tuning, claims to surpass GPT-4o and Claude 3.5 Sonnet but has faced reproducibility and verification issues so far.