Learn how to leverage small language models (SLMs) for offline applications on personal devices like laptops and PCs, overcoming limitations of large language models (LLMs). The video explores using SLMs like GPTs Neo, GPT-j, Orca 2, and others (available on Hugging Face) for personalized searches, automation, and other tasks on devices with limited resources; it also highlights the use of dedicated AI processors in new laptops for improved performance with tools like Microsoft's Copilot.

Learn how to use AMA to run language models locally in a Spring app. Discover how to set up a Java Spring application, connect to a locally hosted AI model, and prompt it for travel destinations.

Learn how to use Codium, a free AI code completion tool, to boost your productivity within your IDE. Discover how to install the plugin, use the chat option, refactor code, and generate documentation.

Learn how to build, train, and deploy AI models using Hugging Face, a platform similar to GitHub for machine learning. The video demonstrates using Hugging Face's models, datasets, and Spaces to create and share your own AI applications, leveraging its inference API for testing models and exploring various models like LLMs and computer vision options.