Akshay 🚀 (@akshay_pachaar)

Eigenvalues & Eigenvectors clearly explained:...

Python is powerful! 🔥 You can create your own Audiobook in just a few lines of code! 🚀 Check this out👇 ...

Let's compare DeepSeek-R1 and OpenAI-o1 using RAG:...

Let's build a pipeline to evaluate and monitor a RAG application, using a 100% open-source tool:...

Don't do RAG! Imagine loading all the relevant documents into your model before you ask a single question—no more waiting on real-time retrieval or dealing with complicated retrieval pipelines. This is precisely what CAG does, and it does so remarkably well! The core idea is to replace real-time ...

How LLMs understand relative positions of input words, clearly explained:...

Let's learn how to evaluate a RAG application (part 1): 1/n ...

Building a production-grade RAG Applications! In the enterprise world, LLMs are primarily used for Retrieval-Augmented Generation on custom knowledge bases. These applications may seem deceptively simple and easy to prototype, but pushing them to production can be a painful process. Here's are so...