Advanced Topics in Computer Science/Business Lecture on Large Language Models

A series of flashcards covering key concepts from a lecture on Large Language Models in advanced computer science and business, with a focus on problem-solving strategies and evaluation metrics.

RAG architecture

Retrieval-Augmented Generation architecture designed to enhance the capabilities of language models by incorporating retrieval of additional information.

LLM

Large Language Model, a type of AI designed to understand and generate human-like text through machine learning techniques.

Rouge

A set of metrics used to evaluate automatic summarization and machine translation by comparing generated output against reference texts.

Poe

An online platform enabling users to interact with various AI language models for tasks such as summarization.

Decision Tree Analysis

A machine learning technique used to visualize and analyze decision-making processes based on data attributes.

Embedding Vector

A mathematical representation of text data in a high-dimensional space useful for various natural language processing tasks.

Faiss

Facebook AI Similarity Search, a library for efficient similarity search and clustering of dense vectors.

Prompt Engineering

The process of designing and optimizing input messages used to instruct LLMs to generate desired outputs.

CADET

Customer Agent Decision Tree, a proposed framework for agent-based modeling of customer behavior.

Mistral and Llama

Different large language models compared based on their performance in understanding and generating text.