Faraaz KhanHow Can You Make Your AI Models Smarter with Your Data?The world of AI model training is rich with techniques and strategies that can elevate the performance of AI models. In this blog, we’ll…13h ago13h ago
Faraaz KhanHow to give Voice to LLMHey folks! I’m kicking off a new series of articles to break down the technology behind building a voice assistant powered by an LLM (Large…Sep 14Sep 14
Faraaz KhaninThe Deep HubHow to Utilize LLMs Like a ProLet's learn the fundamentals, I am going to outline five levels of LLM (Large Language Model) applications. It will help clarify what LLMs…Jun 23Jun 23
Faraaz KhaninThe Deep HubExplore AskToPDF now: Your AI-powered PDF Chat CompanionEmbark on a revolutionary journey into document interaction with AskToPDF, your new go-to AI application designed to simplify how you…Jun 22Jun 22
Faraaz KhaninThe Deep HubThe Future of RAG: Emerging Trends and TechnologiesIn the rapidly evolving field of AI technology, Retrieval-Augmented Generation (RAG) has its open position. By combining the strengths of…Jun 1Jun 1
Faraaz KhaninThe Deep HubLLM for Retrieval Augmented Generation (RAG) ApplicationsNow, finally after completing all the necessary steps, we have reached the most important part of our journey: where we start utilizing the…Feb 21Feb 21
Faraaz KhaninThe Deep HubVector Embeddings in RAG ApplicationsTill now we have covered the Preprocessing of Data, Data Chunking techniques and also what is vector database. Now, let’s talk about…Feb 151Feb 151
Faraaz KhanSemantic Search in RAG Applications: Vector DatabasesAs we continue developing ASKTOPDF, it’s time to understand the concept of a vector database. After preprocessing the data and applying…Feb 13Feb 13
Faraaz KhanPreProcessing of Content for a RAG applicationAs we discussed in our last post we are going to build a chat application which will take context from the document provided and answer…Feb 4Feb 4
Faraaz KhanBest Techniques for Chunking for a RAG ApplicationUnveiling the Power of RAG Pipeline: Strategies, Tactics, and Trade-offsJan 30Jan 30
