Pramata’s Post

"Garbage In -> Garbage Out" (GIGO). This applies to Human -> AI communication, so we learn a discipline called Prompt Engineering to increase the chances of a great output. We can apply this idea not only to AI but also to HI (Human Intelligence). "Garbage in -> garbage out" applies here too, I believe. If we throw garbage into our inputs, our Intelligence will unfortunately produce output to match. A much better way, not only for our LinkedIn posts? This way, this concept can be summarized as “Quality In -> Quality Out” (QIQO). Ok, my friends? 🤔

🚀 Day 77 🚀 Today, I worked on solving some problems related to Recursion. Recursion is when a function calls itself to solve smaller parts of a problem. It was fun to break down problems step by step and see how recursion can make them easier to solve. Masai #dailylearning

💎 From RAG to Riches - that's the theory at least. 🤔 But how has #RAG actually revolutionised #genAI and #LLMs? 🔥 A PRACTICAL GUIDE TO RAG 🔥 3 methods, their pros and cons, and the actual mechanics involved. https://hubs.li/Q02S1K8c0 #KnowledgeGraph #technews

What’s even hotter than GenAI? That’s easy: GenAI plus retrieval-augmented generation (RAG). Why? ......learn more in the blog below!

💎 From RAG to Riches - that's the theory at least. 🤔 But how has #RAG actually revolutionised #genAI and #LLMs? 🔥 A PRACTICAL GUIDE TO RAG 🔥 3 methods, their pros and cons, and the actual mechanics involved. https://hubs.li/Q02zPvCr0 #KnowledgeGraph #technews

💎 From RAG to Riches - that's the theory at least. 🤔 But how has #RAG actually revolutionised #genAI and #LLMs? 🔥 A PRACTICAL GUIDE TO RAG 🔥 3 methods, their pros and cons, and the actual mechanics involved. https://hubs.li/Q02G5MnS0 #KnowledgeGraph #technews

I am building a tool called CrazyAI that will sync well with your IDE. CrazyAI can even help you rename your variables. e.g function getTotal() will become -> function calculateMySelfWorth() even variables like “isLoading” will be “isDefinitelyProcrastinating”. What do you guys think 🤔?

💎 From RAG to Riches - that's the theory at least. 🤔 But how has #RAG actually revolutionised #genAI and #LLMs? 🔥 A PRACTICAL GUIDE TO RAG 🔥 3 methods, their pros and cons, and the actual mechanics involved. https://hubs.li/Q02S1NBP0 #KnowledgeGraph #technews

I guess many of us in tech will be sharing this meme from now on! What is Retrieval-Augmented Generation (RAG)? Large language models usually give pretty awesome answers, but they're stuck with the data they were trained on. Over time, they can miss out on new info or even give wrong answers. That's where "retrieval-augmented generation" (RAG) swoops in like a superhero! It gives the model a superpower to fetch the latest and greatest facts from reliable sources. #GenAI #RAG #Tech

AutoFlow is an open source graph rag (graphrag: knowledge graph rag) based knowledge base tool built on top of TiDB Vector and LlamaIndex and DSPy. #AI #opensource