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You’ve probably heard a lot about Large Language Models (LLM). Some of you may be interested in what the future holds. “How am I supposed to participate in this?!” some wonder. Regardless of how you feel about LLM, the ultimate goal is to make you want to know more about LLM. If you want to study LLM to transition to another career in the technology industry, Cohere’s LLM University can help you do just that.
More and more developers are interested in taking their LLM career to the next level. Natural Language Processing (NLP) is an area many developers thought they would stay away from. But the growth of LLMs and organizations like Cohere, which provides educational content, has made the transition much easier.
Cohere aims to build the future of linguistic AI by enabling developers and companies to create products that can capture real business value with linguistic AI. In response, we created LLM University for developers who want to learn more about NLP and LLM.
We offer a comprehensive curriculum aimed at providing students and developers with a foundational knowledge of NLP and building their own applications on this basis.
Don’t be nervous to hear that it’s for developers. Developers are here to cater to all kinds of people with all kinds of backgrounds. Learn the basics of NLP and her LLM and build on that knowledge to more advanced levels such as building and using text representation and text generation models.
The theoretical side has clear explanations and analogy with examples to support them, while the practical side has code examples to ensure your knowledge. Once you’ve mastered the area, you’ll be able to test your skills with hands-on exercises and build and deploy your own models.
learning route
So how does it work? Beginners and intermediates together? There are two ways to learn.
- series
If you’re a new machine learning engineer, you might feel more comfortable starting from scratch with NLP and LLM. In the Sequential Route, we will learn the basics of NLP and LLM and their architecture.
This route requires very little background knowledge, but you can brush up on your machine learning and NLP knowledge further with the following material: Appendix 1.
- non-sequential
If you are a little more confident in the basics of NLP and LLM, you may not even start with the basics. You can skip these basic modules and move on to specific modules that fit your requirements or are useful with a particular project in mind. See the Appendix 2 material for what this means.
LLM College Curriculum
Curious about what you’ll learn? Let’s dive in…
In the next main module, you’ll learn about LLM, how it works, and tackle hands-on hands-on labs for building your own language applications. The first module focuses entirely on theory, followed by modules 2, 3, and 4 that combine theory with hands-on exercises in code labs.
These are the modules:
- Module 1: What is a Large Language Model?
In this module, you will not only learn the basics of LLM, but also embeddings, attention, transformer model architecture, semantic search, practical examples and hands-on exercises.
- Module 2: Text representation using Cohere endpoints
In the second module, you’ll go through theory and hands-on labs to learn how to use Cohere endpoints for classification, embedding, and semantic search. By the end of this module, you’ll learn how to write code that calls Cohere APIs to several different endpoints.
- Module 3: Text Generation Using Cohere Endpoints
In the third module, you will learn how to generate text using generative learning. Master prompt engineering starting with a codelab where you learn how to use generated endpoints.
- Module 4: Introduction
Last but not least, deployment! As you build your applications, learn how to deploy them using platforms and frameworks such as AWS SageMaker, Streamlit, and FastAPI.
Upon completion of these modules, you will have mastered the world of NLP, opening up a world of new opportunities in a growing language technology.
Cohere takes the first learners and guides them through the course material so they can get the support they need. A book club will also be held, and limited events will also be held. You can sign up for Cohere’s Discord community. Cohere’s Discord community allows you to connect with other learners, help each other through the process, share ideas, and build together.
Nisha Aria Data Scientist, Freelance Technical Writer and Community Manager at KDnuggets. She is particularly interested in providing data advice, tutorials, and theory-based knowledge on data science for her science career. She also wants to explore whether artificial intelligence can contribute to the length of human lifespan in different ways. She is an avid learner who seeks to expand her knowledge of technology and her writing skills while guiding others.
