Akshay π
Simplifying LLMs, AI Agents, RAGs and Machine Learning for you! β’ Co-founder @dailydoseofds_β’ BITS Pilani β’ 3 Patents β’ ex-AI Engineer @ LightningAI
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Let's build a trustworthy RAG app that provides a confidence score for each response:
Machine Learning cheatsheets form Stanford's CS 229:
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. π...
Object oriented programming in Python, clearly explained:
6 months ago I landed my job as an AI Engineer! Here's a roadmap for those starting today:
Precision & Recall clearly explained:
Python *args & **kwargs clearly explained:
5 GitHub repositories that will give you superpowers as an AI/ML Engineer:
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! π Read More...
Eigenvalues & Eigenvectors clearly explained:
We've all dealt with activation functions while working with neural nets. - Sigmoid - Tanh - ReLu & Leaky ReLu - Gelu Ever wondered why they are so importantβπ€ Let me explain it...
How LLMs work, clearly explained: