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How do I build a large language model from scratch and further train and fine-tune it?

How do I build a large language model from scratch and further train and fine-tune it?

Generative AI technology has become a new engine for industrial upgrading, accelerating the rapid development of the digital economy, and developers need to quickly master generative AI skills and master leading tool platforms to stand out in the era of fierce technological change and achieve "technology to win". With the rapid update and iteration of various large language basic models at home and abroad, we are more or less in contact with large language models in our lives, such as the voice assistant of your mobile phone, or the popular generative AI tools in China, which are all attempts by enterprises based on large language models, so the question is, how to build your own large language model from 0?

For beginners, it is necessary to understand the difference between it and some basic concepts of generative AI, machine learning, and artificial intelligence, and also need a large amount of data and computing resources, a certain understanding of model structure, model training fine-tuning, as well as some training methods and application methods, and at the same time, it is necessary to obtain a large amount of dialogue data and use mainstream deep learning frameworks such as PyTorch and Amazon Lex to implement chat generation models.

However, it is not easy to truly grasp the essence of large language models and apply them to real-world projects. This requires a deep theoretical foundation, rich practical experience, and continuous learning and exploration. In order to make it relatively easy for everyone to participate in the technical boom of large language models, we have carefully organized and launched the Conversational AI Builder: Panoramic Training of Large Language Models from Basic to Application.

The content is rich and can be explored according to the course knowledge map

How do I build a large language model from scratch and further train and fine-tune it?

This course is created by 8 senior Amazon Web Services technical experts and training experts, who have rich industry experience and deep professional knowledge to carefully design 9 course modules for students.

Focusing on the basic concepts of large language models, prompt word engineering, AI Agent driven by large language models, RAG of large language model applications, introduction of large language model structure and model training, unraveling the mystery of embedding, and scenarios and practical solutions of large language model products based on Amazon Web Services, you can systematically learn the construction principles and practical applications of large language models (LLMs), and gradually build a solid knowledge foundation. Whether you are an enterprise developer, a college student who is about to find employment, or simply want to explore the development and application of generative AI, I believe you will gain something here by participating in this course training!

What's more, after completing the online course quiz, participants will receive a skill certificate of "Conversational AI Builders: LLM Panorama Training from Basics to Applications" issued by Amazon Web Services. This is not only a recognition and affirmation of the students' learning achievements, but also an important business card in their future careers. In addition, the course also provides CSDN Career Express Talent Job Recommendation Service, which provides strong support for the career development of students.

Limited Time Offer: Start your generative AI journey

There's never been a better time to join this smart revolution! In particular, we have launched a limited-time offer for the course "Conversational AI Builders: LLM Panorama Training from Basics to Applications". The first 500 users can receive a large coupon of 70 yuan, and for only 9 yuan, you can start a magical journey to explore generative AI. Here, you will learn and progress together with a group of like-minded partners; You will be equipped with cutting-edge technical knowledge and practical skills; You'll also have the opportunity to apply what you've learned to real-world projects and create your own "magical" creations.

How do I build a large language model from scratch and further train and fine-tune it?

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