Applied Generative AI and Natural Language Processing
Understand Generative AI, Prompt Engineering, Huggingface-Models, LLMs, Vector Databases, RAG, OpenAI, Claude, Llama2
4.49 (356 reviews)
14,898
students
10 hours
content
Sep 2024
last update
$79.99
regular price
What you will learn
Introduction to Natural Language Processing (NLP)
model implementation based on huggingface-models
working with OpenAI
Vector Databases
Multimodal Vector Databases
Retrieval-Augmented-Generation (RAG)
Real-World Applications and Case Studies
implement Zero-Shot Classification, Text Classification, Text Generation
fine-tune models
data augmentation
Prompt Engineering
Zero-Shot Promping
Few-Shot Prompting
Chain-of-Thought (Few-Shot CoT, Zero-Shot CoT)
Self-Consistency Chain-of-Thought
Prompt Chaining
Tree-of-Thought
Self-Feedback
Self-Critique
Claude 3
Open Source Models, e.g. LLama 2, Mistral
Screenshots
5762060
udemy ID
1/13/2024
course created date
3/2/2024
course indexed date
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