Data structures are the foundation of any programming language. They are used to organize and store data in a way that makes it efficient to access and manipulate. As a tech professional, it is es...

Setting Jupyter Kernel with Python Virtual Environment Curiosity: How can we use different Python virtual environments in Jupyter Notebook? What’s the best way to manage multiple kernels? This gu...

Step to explain Transformer Dataset : https://github.com/NoCodeProgram/deepLearning/tree/main/rnn RNN Studying Repository Repository : https://github.com/akillness/SPTTC/tree/main/practice/...

Building Resilient 3-Tier Architecture on AWS Curiosity: How can you gain practical AWS experience? What’s better than building To-do apps for learning cloud architecture? Want to land that dream...

𝗟𝗶𝗻𝗲𝗮𝗿 𝗥𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝗼𝗻: A staple for any machine learning enthusiast, linear regression is like drawing a straight line through data points on a graph to predict future values. 𝗟𝗼𝗴𝗶𝘀𝘁𝗶...

Build Your RAG Application in 3 Days: A Hands-On Roadmap Curiosity: How can we build a production-ready RAG application quickly? What’s the fastest path from basics to advanced RAG implementation?...

CRAG: Comprehensive RAG Benchmark Dataset Curiosity: How can we create a realistic benchmark for RAG systems? What makes CRAG more challenging than existing datasets? CRAG (Comprehensive RAG) is ...

Tools for Building LLM Applications: A Comprehensive Guide Curiosity: What tools and frameworks are essential for building LLM applications? How do we navigate the rich landscape of available tech...

Check more PEFT (Parameters Efficient Fine-Tuning) methods : https://huggingface.co/docs/peft/index Fine-tuning large language models traditionally involved adjusting billions of parameters, d...

🤔 As a generative AI practitioner, I spend a good chunk of time developing task-specific metrics for various tasks/domains and use-cases. Microsoft’s AgentEval seems like a promising tool to assist...