Akshay 🚀

Let's build a trustworthy RAG app that provides a confidence score for each response:

Akshay 🚀

@akshay_pachaar

Machine Learning cheatsheets form Stanford's CS 229:

Akshay 🚀

@akshay_pachaar

K-Means has two major problems: - Number of clusters must be known - Doesn't handle outliers But there's a solution! Introducing DBSCAN, a Density based clustering algorithm. 🚀...

Akshay 🚀

@akshay_pachaar

Object oriented programming in Python, clearly explained:

Akshay 🚀

@akshay_pachaar

6 months ago I landed my job as an AI Engineer! Here's a roadmap for those starting today:

Akshay 🚀

@akshay_pachaar

Precision & Recall clearly explained:

Akshay 🚀

@akshay_pachaar

Python *args & **kwargs clearly explained:

Akshay 🚀

@akshay_pachaar

5 GitHub repositories that will give you superpowers as an AI/ML Engineer:

Akshay 🚀

@akshay_pachaar

Microsoft is offering FREE courses in following areas: - AI - IOT - Data Science - Machine Learning A project-based pedagogy that allows you to learn while building! 🚀 Read More...

Akshay 🚀

@akshay_pachaar

Eigenvalues & Eigenvectors clearly explained:

Akshay 🚀

@akshay_pachaar

We've all dealt with activation functions while working with neural nets. - Sigmoid - Tanh - ReLu & Leaky ReLu - Gelu Ever wondered why they are so important❓🤔 Let me explain it...

Akshay 🚀

@akshay_pachaar

How LLMs work, clearly explained:

Akshay 🚀

@akshay_pachaar