Large Language Model: Many natural language processing (NLP) activities can be carried out by a large language model (LLM), a kind of artificial intelligence (AI) program. Because of the vast volumes of data they are trained on, LLMs are referred to be “large”. The foundation of these systems is machine learning, particularly a transformer model of neural networks.
Language machines (LLMs) are capable of text recognition, translation, prediction, and generation.
In this article, we will share a list of 5 free courses that can make you a master in LLMs.
5 Free courses to master Large Language Model
Prompt Engineering by DeepLearning.AI
Using LLMs effectively requires prompt engineering, and deeplearning.ai provides an extensive training on the subject. You will acquire useful skills and methods for efficient quick engineering by using practical practice materials. The performance and control of LLMs in a variety of applications can be improved by knowing how to create prompts that produce desired model outputs. For anybody looking to become an expert in timely engineering, this course is an invaluable resource.
LLMOps
Testing, deployment, monitoring, assessment metrics, and other topics are covered in detail by LLMOps, a specialised resource for applying LLMs. With this resource, you may go beyond the development phase and examine the key components of LLMOps in practical situations. Discover how to install LLMs in production settings, assess their effectiveness, and test them successfully. LLMOps give you the expertise you need to guarantee the dependability and efficacy of your models, with a focus on test-driven development for LLMs.
Cohere LLM University
For learning about Large Language Models and Natural Language Processing, LLM University by Cohere offers an excellent course and materials. By providing students with a foundation in NLP and a practical approach to using LLM in real-world scenarios, the course seeks to enhance their learning abilities.
Generative AI with Large Language Models
The free course on Coursera is similar to AI 101 since it goes over both the fundamentals and the practical aspects needed to have a thorough understanding of how these generative AI models operate. The teachers, Shelbee Eigenbrode, Mike Chambers, Chris Fregly, and Antje Barth, will dissect the most recent findings and demonstrate how businesses are actively developing learning management systems.
Full Stack LLM Bootcamp
The LLM course is led by DeepLearning AI, which Andrej Karpathy, the master of AI, directly suggests. With the aim of assisting generative AI developers in transitioning to building applications around language models with confidence, the two-day training is based on current best practices and research findings.
At an in-person boot camp in San Francisco in April 2023, the programme was taught by the instructors. These lectures are now available for free download. Developing LLM apps is the goal of the course for ordinary Python coders.
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