Llms FAQs

Question 1

What is Llms?

Accepted Answer

Llms is a resource dedicated to learning about and working with Large Language Models (LLMs), prompt engineering techniques, and GenAI tools.

Question 2

What are some key features of Llms?

Accepted Answer

Key features include explorations of transformer architectures, prompt engineering strategies, LangChain pipeline examples, and implementations of RAG systems.

Question 3

Does Llms require any specific software installations?

Accepted Answer

Llms primarily provides code examples and educational materials. You may need to install libraries like Hugging Face Transformers and LangChain depending on the specific project you are working on.

Question 4

What can I learn from Llms?

Accepted Answer

You can explore transformer architecture, pretraining/finetuning, prompt engineering strategies, LangChain pipelines, RAG systems, and integration with vector databases.

Question 5

What is RAG and how does Llms help?

Accepted Answer

RAG (Retrieval-Augmented Generation) is a technique to improve LLM outputs. Llms provides examples and resources for implementing RAG systems with vector databases.

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