AI-tutorials

Explore how Mistral AI's Mixtral 8X22B model revolutionizes large language models with its efficient SMoE architecture, offering superior performance and scalability.

Learn how to use the Stable Diffusion 3 API for image generation with practical steps and insights on new features and enhancements.

Learn to infer and fine-tune LLMs with TPUs and implement model parallelism for distributed training on 8 TPU devices.

Learn about Microsoft’s Phi-3 language model, including its architecture, features, applications, installation, setup, integration, optimization, and fine-tuning.

Learn how Databricks DBRX—an open-source LLM can handle complex tasks and generate intelligent results.

Explore the critical role of data labeling in AI, including its definition, necessity, techniques, challenges, and best practices.

Run LLMs locally (Windows, macOS, Linux) by using these easy-to-use LLM frameworks: Ollama, LM Studio, vLLM, llama.cpp, Jan, and llamafile.

Take the first steps to master in-database machine learning using Snowflake Snowpark.

Learn the fundamentals of reinforcement learning through the analogy of a cat learning to use a scratch post.

Explore different approaches to enhance RAG systems: Chunking, Reranking, and Query Transformations.

Unlock the power of Large Language Models (LLMs) in your applications with our latest blog on "Serving LLM Application as an API Endpoint Using FastAPI in Python." LLMs like GPT, Claude, and LLaMA are revolutionizing chatbots, content creation, and many more use-cases. Discover how APIs act as crucial bridges, enabling seamless integration of sophisticated language understanding and generation features into your projects.

A detailed tutorial on the functionalities, comparisons, and practical applications of the Mistral Large Model.