prompt
5 notes tagged prompt in the Applied LLMs topic. Putting language models to work: retrieval, prompting, evaluation and the behavior you only learn in production.
- Intent classification by LLM
User intent classification is a crucial aspect of conversational AI, start with machine learning models, but now advanced language models (LLMs) are being explored for…
- Journey of thought prompting: Harnessing AI to craft better prompts
Journey of Thought Prompting is an innovative technique that leverages AI to craft more effective prompts for large language models. This approach uses the analytical…
- A story map for building with LLMs
A comprehensive guide outlining the journey for engineers developing applications on top of Large Language Models (LLMs), covering key stages from understanding AI…
- Adversarial prompting in prompt engineering
An overview of adversarial prompting in prompt engineering, focusing on understanding risks associated with Large Language Models (LLMs) and strategies for mitigating…
- LLM's accuracy - self refinement
An overview of self-refinement, a technique where Large Language Models (LLMs) evaluate and improve their own output without the need for supervised data or…