Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which means you do not need to add additional tools to your LLM environment.
IEEE

Leveraging Machine Learning Methods for Multiple Disease Prediction using Python ML Libraries and Flask API

Abstract: Disease prediction has become one of the most sophisticated problems in the Machine Learning field in Computer Science. Almost all of the existing machines learning models are fixated on ...
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Paytm's built-in calculator: How to use it for smoother transactions

Paytm has added a built-in calculator to its payment screen, letting users add multiple amounts and confirm the total before completing a transaction. The feature is aimed at simplifying everyday ...