How to create a RAG engine with Local LLM using OllamaRetrieve-Augmented Generation (RAG) is a powerful technique for making Large Language Models (LLMs) more effective, accurate, and…5d ago5d ago
Decoding the PDF Maze: A Definitive Guide to Extracting Data from Textual and Scanned Documents…In the world of modern automation, PDFs are both a treasure trove and a technical trap. They contain invoices, contracts, insurance forms…May 9May 9
How Predictive Modeling for Medical Cost Estimation Has Transformed with LLMs, AI, and AgentsPredictive modeling in health insurance has long been a crucial tool for estimating medical costs, helping insurers manage risk, set…Apr 15Apr 15
Retrieve augment and generate (RAG): A technique to hack LLMs to your commandWhat is RAG, and Why is it Important?Mar 26Mar 26
A simple guide to understand AI agentsAccording to a survey by gartner and trends observed in the industry , there’s no doubt to say that this is the era of AI evolution. In…Feb 10Feb 10
Data visualization using LLM with LIDA from MicrosoftWith advancements in LLM, we have several LLM technologies capable of efficient data visualization at our disposal. In this article, we…Dec 20, 2024Dec 20, 2024
Setting Up a Data Lake in AWS with example of simple POC using RDS database in AWS: A Step-by-Step…Setting up a Proof of Concept (PoC) for a data lake in AWS involves several steps, from configuring databases to transforming and…Nov 8, 2024Nov 8, 2024
Annotation strategies for computer vision applicationsData science teams invest a significant amount of time and resources in developing and managing training data for AI and machine learning…Oct 1, 2024Oct 1, 2024
Deploying a LLM based Chatbot: A detailed overviewCreating and deploying a chatbot using LangChain, which provides a modular framework to work with large language models (LLMs), is a…Sep 17, 2024Sep 17, 2024