Adversarial prompting is a crucial aspect of prompt engineering, as it aids in understanding the risks and safety concerns associated with Large Language Models (LLMs). It's a vital field for identifying these risks and developing strategies to mitig...
When it comes to Large Language Models (LLMs) like GPT, managing context size - the number of tokens per prompt - is a unique challenge. As it stands, GPT-3.5 can process up to 4096 tokens, roughly equivalent to 3000 English words. This limitation cr...
What is Generative UI? A generative UI (genUI) is a user interface that responds to the user with AI-generated elements instead of just text messages. It offers a personalized experience based on the user's needs and context. Users can interact with...
When building a chatbot agent, it's important to evaluate its performance and user satisfaction. One effective method is user simulation, which involves creating virtual users to interact with the chatbot and assess its responses. This approach allow...
One of the primary problems in RAG systems is the retrieval of a heterogeneous set of documents or pieces of information. These documents, while related to the query, often include extraneous details that can clutter the generation model's input. As ...
Introduction Proximal Policy Optimization (PPO) is an algorithm that aims to improve the stability of training by avoiding overly large policy updates. It is a popular and effective method used for training [[Reinforcement Learning | reinforcement le...
