Prompting techniques
The next logical step, once we have a set of strategies for developing prompts in our backpack, is to understand some of the well-known prompting techniques. Some of these are well suited for certain types of tasks while others are applicable in general. Let us explore some of these techniques in detail with examples.
Task-specific prompting techniques
The below list of tasks is pretty self-explanatory, and traditionally, special-purpose NLP models were required for each of these. Since the advent of transformer-based models, these tasks have increasingly become easy to solve, and for most scenarios, LLMs can tackle these out of the box. We will now cover some basic tips and tricks to improve performance on typical NLP tasks:
- Classification: Classification use cases cover scenarios where we need to assign input text to one or more categories/classes, for instance, spam detection, sentiment analysis, and content moderation (identification of...
