AI Tutorials

To connect through the GPT-4o API, obtain your API key from OpenAI, install the OpenAI Python library, and use it to send requests and receive responses from the GPT-4o models.

Batch normalization standardizes mini-batch inputs to stabilize and speed up neural network training.

Prompt tuning is a technique used to improve the performance of a pre-trained language model without modifying the model’s internal architecture.

Master the fundamentals of setting up Vertex AI and performing machine learning workflows.

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 leveraging these easy-to-use LLM frameworks: GPT4All, LM Studio, Jan, llama.cpp, llamafile, Ollama, and NextChat.

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