RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
85 topics found for
“reliability improvement”
Build Server
A server dedicated to automating the process of building and compiling code, running tests, and generating software artifacts.
Release Management
The process of overseeing and coordinating the development, testing, and deployment of software releases to ensure they are delivered efficiently and effectively.
Promptframe
A structure or framework used to create effective prompts for AI systems, ensuring clarity and context.
Extension Neglect
A cognitive bias where people ignore the relevance of sample size in making judgments, often leading to erroneous conclusions.
o11y
Numeronym for the word "Observability" (O + 11 letters + N), the ability to observe the internal states of a system based on its external outputs, facilitating troubleshooting and performance optimization.
White Box Testing
A testing method that examines the internal structure, design, and coding of a software application to verify its functionality.
Negative Prompt
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results.
Lower Environment
A non-production environment used for development and testing before deployment to production.