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Overview
Features
- In the Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) course from Udacity we'll start with a high-level overview of the types of LLMs, the differences between them, and how best to account for their strengths and weaknesses.
- Then we'll get into the internal details, including natural language processing (NLP) techniques like tokenization, as well as modern transformer architectures and attention mechanisms.
- Finally, we'll build a practical LLM application that combines an LLM with a custom dataset.
Programme Structure
Courses include:
- Transformers and Attention Mechanism
- Retrieval Augmented Generation
- Build Custom Datasets for LLMs
- Project: Build Your Own Custom Chatbot
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Language Studies View 62 other Short Courses in Language Studies in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prior to enrolling, you should have the following knowledge:
- Generative AI Fluency
- Intermediate Python
- Deep learning
- PyTorch
- Hugging Face
Tuition Fees
Additional Details
- This program can be paid for with the Udacity subscription.
Funding
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