10 Free Resources to Learn LLMs

Introduction

Suppose you are on the brink of a technological revolution, which is to embrace the Large Language Models (LLMs,) to unlock some incredible opportunities. As for many innovations from developing smart chatbots to analyzing data, LLMs are in the center of them. The good news? However, what people might not realize is that you don’t necessarily have to pay a lot of money to get a basic understanding of even just their existence. For this reason, there is a myriad of online resources which can help you in learning all that you might want to learn about LLMs. No matter if you are a beginner or want to enhance your knowledge in this field, these 10 free resources will help you immerse into the LLMs environment and improve your comprehensive and practical skills and AI.

Learning Outcomes

• Discover 10 free resources to learn about LLMs.
• Understand the strengths of each resource.
• Identify which resources best match your learning style.
• Gain access to materials that cover the fundamentals of LLMs.
• Explore advanced topics in LLMs through free courses and materials.

10 Free Resources to Learn LLMs

Let us now look into the free resources that can help you to learn LLMs.

1. LLM University by Cohere

Cohere’s LLM University offers a specialized approach to learning LLMs. The platform provides in-depth tutorials, webinars, and projects focused on implementing LLMs in various applications. This resource is particularly valuable for those looking to go beyond the basics and explore advanced techniques in LLM development.

• Key Topics Covered: Model architecture, fine-tuning, advanced NLP techniques.
• Unique Features: Webinars by industry experts, hands-on projects, certification.
• Target Audience: Advanced learners and professionals.

Click here to access.

2. Hugging Face NLP Course

Hugging Face is the major player in the field of NLP, it is the repository of the open-source libraries and models. It’s an extensive course on NLP where they’ve included everything right from tokenization to model deployment at scale. As will be seen, NLP and LLMs course is divided into several units, each dealing with one or two topics in a systematic way.

• Key Topics Covered: Tokenization, model training, transformers, deployment.
• Unique Features: Interactive notebooks, community support, access to pre-trained models.
• Target Audience: Intermediate learners with some NLP background.

Click here to access.

3. MIT OpenCourseWare: Advanced Natural Language Processing

For more specifics into the creation of LLMs at a technical level, the Massachusetts Institute of Technology, on its OpenCourseWare program, has a course on advanced NLP that is free. The LLM Course entails production of video lectures, reading materials and assignments and as such gives an academic insight to its understanding.

• Key Topics Covered: Deep learning for NLP, syntactic parsing, machine translation.
• Unique Features: Rigorous academic content, assignments, and quizzes.
• Target Audience: Advanced learners and academics.

Click here to access.

4. YouTube Channel: Sentdex

There exists a YouTube channel technically known as Sentdex where viewers are presented with quite a number of tutorials on machine learning, deep learning and NLP. In more detail, the channel’s LLM content is useful for learners who have limited time and like video lessons. There is no point where you are not seeing the theory applied by Sentdex as well as get directly involved in the practical session.

• Key Topics Covered: LLM implementation, Python coding, real-world applications.
• Unique Features: Video tutorials, hands-on coding sessions, community interaction.
• Target Audience: Beginners to intermediate learners.

Click here to access.

5. FreeCodeCamp’s NLP Tutorials

Here at FreeCodeCamp, their programming tutorials are widely recognized to be of a fine quality and completely free, and the same can be said about their NLP tutorials. This resource provides a set of tutorials giving an introduction into NLP and other topics up to LLMs. The PDF tutorials are written in plain text which makes it easier for learners to follow along depending with their understanding pace.

• Key Topics Covered: NLP fundamentals, LLMs, practical coding exercises.
• Unique Features: Self-paced learning, interactive exercises, community support.
• Target Audience: Beginners to intermediate learners.

Click here to access.

6. Analytics Vidhya Blogs

In fact, the blog section of Analytics Vidhya hosts consolidated articles on LLM and is filled with resourceful information for data science Freaks. This resource comprises of articles, case studies, and tutorials that are produced to assist in the understanding of the various issues relevant to LLMs. This is a very beneficial source for readers who are inclined towards reading and also for those who need to find out the trends going on in the field.

You can also enroll in our free course today to learn more about LLMs.

• Key Topics Covered: LLM case studies, tutorials, industry applications.
• Unique Features: Detailed articles, real-world case studies, community discussions.
• Target Audience: Intermediate to advanced learners.

Click here to access.

7. LLMOps

LLMOps is a specialized platform focusing on the operational aspects of managing and deploying LLMs. This resource is particularly useful for those who are interested in the practicalities of running LLMs at scale, covering topics like model monitoring, deployment, and maintenance.

• Key Topics Covered: LLM deployment, monitoring, scaling LLMs.
• Unique Features: Focus on operational aspects, hands-on tutorials, industry use cases.
• Target Audience: Professionals and advanced learners.

Click here to access.

8. LLM Bootcamp

The term LLM Bootcamp refers to one of the most intensive LLM programmes which is aimed to provide participants with better understanding of the LLM universe. The bootcamp also encompasses numerous areas from the fundamental model of NLP to the advanced processes of model fine tuning as well as deployment. It also contains project-based science in which, by the final of the course, you are able to develop and launch independent LLMs.

• Key Topics Covered: NLP basics, model fine-tuning, deployment strategies.
• Unique Features: Project-based learning, certification, expert mentorship.
• Target Audience: Intermediate to advanced learners.

Click here to access.

9. Introduction to Large Language Models by Google Cloud

Google Cloud offers a comprehensive introduction to LLMs through its online courses. This resource is perfect for those who are looking to understand LLMs from a cloud computing perspective. The course covers the basics of LLMs, as well as how to implement them using Google Cloud’s infrastructure.

• Key Topics Covered: LLM basics, cloud-based implementation, Google Cloud tools.
• Unique Features: Cloud-focused content, hands-on labs, integration with Google Cloud.
• Target Audience: Beginners to intermediate learners interested in cloud computing.

Click here to access.

10. Finetuning Large Language Models

The “Finetuning Large Language Models” course covers the core principles of fine-tuning LLMs and distinguishes it from prompt engineering. You’ll gain practical experience with real datasets, learning how to apply fine-tuning techniques to improve model performance. The course also explores when to use fine-tuning versus prompt engineering in various scenarios. This hands-on approach equips you with valuable skills for your own AI projects.

• Key Topics Covered: Fine-tuning fundamentals, differences from prompt engineering, practical applications with real data, and optimization strategies.
• Unique Features: Hands-on practice with datasets, clear distinction between fine-tuning and prompt engineering, practical techniques for model customization, and real-world application emphasis.
• Target Audience: AI enthusiasts, data scientists, machine learning engineers, and developers aiming to enhance LLMs and apply fine-tuning methods to their projects.

Click here to access.

Conclusion

There are no cost implications linked to acquiring knowledge on LLMs which can effectively be gotten from the internet as well as related docket books. With these ten free resources, it is now possible for you to get an introduction to the large language models for free. Regardless of whether you prefer text-based materials strictly organized in courses and structured, practical assignments and projects, or comprehensive articles, LingQ has it all. Here you go, go ahead and begin discovering the rather interesting area of LLMs right now!

Frequently Asked Questions

ayushi9821704 29 Aug, 2024

My name is Ayushi Trivedi. I am a B. Tech graduate. I have 3 years of experience working as an educator and content editor. I have worked with various python libraries, like numpy, pandas, seaborn, matplotlib, scikit, imblearn, linear regression and many more. I am also an author. My first book named #turning25 has been published and is available on amazon and flipkart. Here, I am technical content editor at Analytics Vidhya. I feel proud and happy to be AVian. I have a great team to work with. I love building the bridge between the technology and the learner.