10 Free Ways to Learn Large Language Models

You can start learning LLMs from various platforms for free, which include Deeplearning.AI, AWS, Microsoft, and many more.  In the previous articles, we have understood what LLMs are and how they can be used. AI is the future, and we’ll learn how it can help us earn thousands of dollars annually. The central focus of AI in today’s world is LLMs, and the raw data that is being used requires algorithms to generate meaningful data.  If you want to do a transition from any domain to the field of AI, then understanding LLMs will help you gain a lot of knowledge. It will help you extend your skillset in the field of AI. 

In this blog, we’ll talk about the free resources available in the market online to learn about Large Language Models, also known as LLMs.

  1. Microsoft’s GenAI for beginners: If you’re interested in building generative AI applications, then this course will suit you. This has 18 lessons consisting of the basic concepts about generative AI and LLMs. This course is handy to learn how to build LLM-based applications by using low-code tools and AI agents. You’ll also learn to secure your application using LLMs. It’s not mandatory to cover all the things in the course to proceed ahead, as you can skip the modules and go ahead with your learning of the concepts that you find relevant. 
  2. Deeplearning.AI GenAI with LLMs: This is also an interesting course covering various concepts such as prompt engineering, basics of LLMs, and transformer architecture. This will also help you to deploy LLMs on AWS. To complete this course, you have to give at least 4 weeks of full study time. 
  3. NLP course by Hugging Face: Building an application based on machine Learning could sound very difficult, but it’s not. You can easily build applications based on machine learning with the help of Hugging Face, as it’s one of the leading companies serving multiple libraries and models. This course will help you learn about the working of the LLMs, along with the transformer architecture and different tokeniser libraries. You’ll gain knowledge about how to capitalise the dataset and perform different operations, such as text summarisation, using the transformer library for translation. 
  4. Cohere’s LLM University: One of the learning platforms that covers different topics related to LLMs and NLP. This course also consists of various concepts covering advanced concepts such as RAGs, fine-tuning, and prompt engineering, along with the basics of LLMs. Following this course, you might already know about the basic concepts that are NLP, so you can skip these and move ahead with the advanced topics. 
  5. iNeuron’s Foundational Generative AI course: It’s a free resource platform where you can learn about databases, open source LLMs, Generative AI basics, and deployment. You need to dedicate your 2 weeks to understanding all these concepts using the Foundational Generative AI course by iNeuron. You can easily finish one module in a day, as it’s only for 2 hours, and once you finish the course properly, you’ll understand how to deploy a medical chatbot using LLMs.
  6. Papers with Code: building applications with LLMs is important, but knowing about the research going on alongside the practical knowledge is also important. This platform serves you with Machine Learning research, along with code to boost your knowledge and prepare you for the future. 
  7. Stanford’s CS324 LLMs: learning and diving deep into the concepts is essential, and this course serves you with all the important concepts covering LLMs from the basics, and moving towards the advanced. Not only theoretically, but you’ll learn inside out about Large Language Models practically too. If you begin with the learning of any course, it’s important to learn the fundamentals properly, and in this course, you’ll gain knowledge about the model’s fundamentals along with its working. 
  8. LLM bootcamp by Full Stack: this one is a great course that supports you with building the LLMs along with the Integration of the data resources and deployment. In this course, you’ll understand the tools being used and prompt engineering with the solutions for creating the LLMs. 
  9. GitHub Repositories: There are different GitHub Repositories that are available for learning about Large Language Models. Awesome – LLM is one of them. This repository is regularly maintained with the upcoming trends in the LLMs and access to the papers, tutorials, and tools. You can use it to work with the models and practical implementation. With this repository, you can upgrade your skillset with various concepts that include Open LLM, LLMs evaluation, LLM data, LLM deployment, and many more. 
  10. Tutorials by Datacamp: With the Datacamp tutorials, you will know about the various things related to the LLMs. With these tutorials, you will get to know deeply about the LLM’s workings and deployment. There’s a lot more with these tutorials, as it has open source and proprietary tools. 

Conclusion 

Improving your skill sets and gaining knowledge is essential to compete in today’s world. Sometimes it’s difficult to spend some money on learning, and these free resources are really supportive at that moment. In this blog, we have learnt about the various free resources that are the gateway to LLMs’ workings and their creation. Generative AI is the future, and as we can see today as well, that can generate content, convert text to audio, and generate different images just by giving prompts. There are various coding tools available as well that help you with the development process and code analysis, which were discussed in our previous blog. 

Does learning about LLMs help in career growth?

 

If you know Python and Machine learning, then yes, it’ll help you in your career growth. Once you move ahead with Generative AI after Machine learning, it nurtures your growth. If you want to select a pathway to what to pick for your career, then you can book your free demo with Codingdidi. 

For booking your demo, you just have to tap here and get ready for your next big step towards your career at +91- 9910986344 or drop a mail at Codingdidi2024@gmail.com