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...
10 Essential Components of a Production Web Application Curiosity: What components are essential for building production-ready web applications? How do these components work together to create sca...
CoPE: Meta’s Contextual Position Encoding Curiosity: How can we improve positional encoding to handle higher levels of abstraction? What happens when we integrate context with position addressing?...
RAG or Fine Tuning? A simple feature comparision to decide which technique you should use! For customizing LLMs, in addition to RAG, another optimization technique is fine-tuning. 𝗥𝗔𝗚 is akin ...