RAG Jan 5, 2024 • 26 min read
A Crash Course on Building RAG Systems – Part 9 (With Implementation)
A deep dive into ColPali for building vision-driven RAG systems (with implementation).
Large Language Models
Explore the world of Large Language Models with our articles and tutorials.
Notes
- This page provides content related to Large Language Models.
- It includes articles and tutorials about LLM concepts and applications.
Understanding Large Language Models
Large Language Models (LLMs) are a type of artificial intelligence that can understand and generate human-like text. Here are some key aspects:
Transformer Architecture
LLMs are typically based on the transformer architecture, which allows for parallel processing of text.
Pre-training and Fine-tuning
LLMs are pre-trained on massive datasets and then fine-tuned for specific tasks.
Few-Shot Learning
LLMs can perform tasks with only a few examples, making them highly adaptable.
Text Generation
LLMs can generate coherent and contextually relevant text, making them useful for content creation.
Language Understanding
LLMs can understand the nuances of human language, including context and intent.
Applications
LLMs are used in various applications, including chatbots, language translation, and content generation.
LLMs are a rapidly evolving field with immense potential to transform how we interact with technology.
Explore Langchain for LLM Application Development
Explore Google Cloud LLMs
Learn more about LLMs on Wikipedia
Explore LLMs on IBM
Learn about LLMs on Elastic
Explore LLMs on NVIDIA
Learn about LLMs on Databricks
Explore LLMs on GeeksforGeeks
Learn about LLMs on Spiceworks
Explore LLMs on Oracle