Response generation
Response generation is the computational process by which a language model produces a natural-language answer or other output conditioned on an input, instructions, or context.
Effective Conversational AI
Answer generation is the production of a candidate response from a language model based on retrieved information and instructions.
- How it is used
- Produces a candidate chatbot answer from retrieved passages within a retrieval-augmented generation workflow.
- How deep it goes
- Traces passage input through candidate checking and transfer decisions, without detailing generation internals.
- Examples
- Illustrates an unsupported candidate answer to a question about achalasia, dysphagia, and booster side effects.
- What you can do after
- Evaluate generated answers against retrieved passages and route weakly grounded responses to a human agent.
Read how Effective Conversational AI explains response generation →
Introduction to Generative AI, Second Edition
Natural language generation is the computational production of human-language text or speech.
- How it is used
- Supports conversational agents, autocomplete, content production, question answering, coding, and other natural-language applications.
- How deep it goes
- Explains prediction, historical pattern matching, and applications but stops short of implementation details or formal generation algorithms.
- Examples
- Uses camera prediction, story completion, ELIZA, chatbots, autocomplete, articles, social posts, and programming code.
- What you can do after
- Evaluate and apply language models for generating conversational text, autocomplete, and specialized content while recognizing reliability and social risks.
Read how Introduction to Generative AI, Second Edition explains response generation →
Related concepts
- retrieval-augmented generationpart of · Retrieval-augmented generation is a technique that retrieves relevant information from external sources and supplies it as context to a generative model when producing an output.
- token streamingalternative to · Token streaming is the incremental delivery of generated language-model output as tokens become available, rather than waiting for the complete output.
- decodeproduced by · Decoding is the process of transforming an encoded or internal representation into an interpretable or target-form output.
- hybrid search-chat experienceused by · A hybrid search-chat experience combines information retrieval with conversational responses generated from retrieved or available information.
- digital watermarkingused by · Digital watermarking is the embedding of visible or invisible identifying information into digital content to indicate, verify, protect, or trace its origin or ownership.
These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.