Prompting Breakdown...... Part 1


Zero short prompting (Load and fire)
Zero short prompting is a prompting technique in which we do not give any example to the AI model. Benefit of zero short promoting benefits are various .That we don't need to train AI model on a large datasets , Etc .
One of them is its great flexibility. This allows LLMs to adapt to a range of tasks without requiring task-specific training data. It enables quick adaptation to new tasks immediately, without the need for time-consuming retraining or fine-tuning processes.
Few Short Prompting (Question Answer)
If you read above, technique then you can easily understand few short prompting .yes you guess right in this we trained our AI model or virtual assistant with few example that help to give context to it .But example should be relevant and Simple to understand with format consistency. It will make your buddy task adaptive and accurate result provider .
Application of few Short Prompting:
Reasoning Solving model,
Code Generator .
Chain of Thought Prompting
Chain of though prompting is a technique where we provide many examples to our Ai model. Better to say give steps to solve similar problems Like teaching our AI Model to cooking recipe of Something. After give the datasets to our models of different recipes it will help our model to give more accurate output.
Application of chair to thought prompting
New Joining trainer model
Managing logistics and supply chains.
Self consisting Prompting (One to Many)
self consisting prompting means In which our AI model generate multiple output for Single input. That help us to find more reliable answer and accurate output.
Application of Self consisting Prompting
code debugger: your can teach debugging to your model with few example but later it will generate more better output for debugging a code.
Instruction prompting( Class monitor )
Instruction prompting involved providing specific task instructions. Instead of relying on context, the model can understand the instructions and better understand the user intentions and better improve its ability to follow specific guidelines.
Application of Instruction Prompting
Your math’s teacher is Teaching you how to solve polynomial equation.
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