6 Free Courses on Large Language Models
With large language models (LLMs), a whole new wave of generative AI turned the game upside down in 2023. The new ecosystem of techniques, tools, and vendors has even left AI and machine learning veterans scrambling to wrap their heads around the possibilities and figure out the right resources. While the community continues to experiment and explore LLMs, here are six good courses to learn everything about these language models. Full Stack LLM Bootcamp DeepLearning AI conducts the LLM course personally recommended by AI genius Andrej Karpathy. The two-day program is based on the current best practices and the research results to help generative AI developers make the transition to building applications around language models with confidence. The instructors ran the program as an in-person boot camp in San Francisco in April 2023. Now, they have released the recorded lectures for free. The course’s objective is to teach regular Python coders how to build applications of LLMs. Instead of the old-school way of building apps with pre-trained models, APIs can be configured and functioning in an hour. Generative AI with Large Language Models The free course on Coursera is like an AI 101 as it covers the basics and practical stuff for an in-depth understanding of how these generative AI models actually work. The instructors, Antje Barth, Shelbee Eigenbrode, Mike Chambers, and Chris Fregly, will break down the latest research and show you how companies are actively building LLMs. The course, provided by DeepLearning AI and AWS, already has 166,689 enrolments. Generative AI Fundamentals Software leader Databricks has actively contributed to the language model landscape over the past year. Apart from building and open-sourcing its own language models, the company also started dishing out free on-demand knowledge on the ABCs of generative AI. It’s a four-part video session explaining extensively what you can do with large language models. They’re also making sure you learn about the risks and challenges that come with this tech. The Databricks-style crash course is a great point to start learning about generative AI. Hugging Face NLP Course Most of the large language models released in the past year have been hosted on Hugging Face. Even models by big tech companies like Meta’s LLaMA are available on the developers’ platform. The platform also hosts the Hugging Face Course that would equip you with the right skills to understand the basic concepts of NLP and language models simultaneously. Moreover, the course is like a secret stroll through the Hugging Face environment, a backstage pass to the generative AI party. Introduction to Large Language Models The course presented by Google Cloud is a quick introductory one that breaks down what LLMs are, where they can be used and how to make them better through prompt tuning. It also covers Google tools to help you develop generative AI applications. LLM University Lastly, Cohere’s LLM University offers a deep dive into NLP techniques. The platform has got you covered in everything from semantic search and generation to classification and embeddings. It’s a one-stop shop with a mix of theory and hands-on exercises, giving you knowledge on a bunch of topics. Whether you’re just starting out or a seasoned pro, this platform will polish your LLM skills.
LLMs have birthed a new ecosystem of techniques, tools as well as courses.
The new LLM ecosystem has left the community scrambling to figure out the right resources, including courses.
["Courses", "Language Models"]
["Hugging Face", "semantic search", "machine learning", "AWS", "AI", "NLP", "Python", "generative AI", "Language Models", "Courses", "R", "Databricks"]
["AI", "machine learning", "NLP", "generative AI", "Hugging Face", "semantic search", "AWS", "Databricks", "Python", "R"]
Tasmia is a tech journalist at AIM, looking to bring a fresh perspective to emerging technologies and trends in data science, analytics, and artificial intelligence.