Large Language Models

Embark on a transformative journey through the digital age as we unravel the profound impact of technology on society. This engaging course delves into the core of the digital revolution, exploring its historical roots, societal implications, and the fascinating interplay between innovation and human values. [...]

By the end of this course, a learner will master Databricks to perform data engineering and data analytics tasks for data science workflows. Additionally, a student will learn to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.

Generative AI is transforming the field of Software Engineering, making it a crucial skills for Developers to have in their toolkit. This IBM course "Generative AI for Software Developers" is designed to provide you with a comprehensive understanding of how generative AI techniques can be applied to enhance software [...]

AI forms the basis for all computer learning and is the future of all complex decision-making. As such it is becoming increasingly prevalent in daily life. As a result, the outlook is bright for artificial intelligence jobs. In this course, you will learn how to navigate the dynamic field [...]

Do you aspire to be a Rust developer at the forefront of the AI revolution? This groundbreaking course is designed specifically to train you in Large Language Model Operations (LLMOps) using Rust. This course doesn't just scratch the surface; it takes a deep dive into how you can integrate [...]

With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like [...]

Instructed by AI pioneer Andrew Ng, Generative AI for Everyone offers his unique perspective on empowering you and your work with generative AI. Andrew will guide you through how generative AI works and what it can (and can’t) do. It includes hands-on exercises where you'll learn to use generative [...]

Learners will gain the skills to serve powerful language models as practical and scalable web APIs. They will learn how to use the llama.cpp example server to expose a large language model through a set of REST API endpoints for tasks like text generation, tokenization, and embedding extraction.

The landscape of LLMs and the libraries that support them has evolved rapidly in recent months. This course is designed to keep you ahead of these changes. You’ll explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language [...]

By the end of this course, a learner will have a solid understanding of Large Language Models running locally. You'll be able to setup a local environment using powerful tooling to run different LLMs and interact with them both with a web interface as well as with APIs.