Data Science

Naming Conventions of LLM Models

Introduction When we see any LLM model names like GPT-4o, Claude 3 Sonnet, or LLaMA-2-7B-chat we wonder why companies give such weird names to their models. But let me tell you, these names have lots of meanings inside it. They provide lots of information about that model. Common Patterns: Suffix            […]

Sudarshan
Sudarshan
Read

BA

Streaming Without Barriers: Tech Innovations Driving Inclusive OTT for Every Ability

Inclusive OTT is better OTT: Friction down, loyalty up-streaming that welcomes all. For many viewers with hearing, vision, motor, or cognitive disabilities, “press play” can become a maze—interfaces and flows assume everyone can see, hear, navigate, and process content the same way. When accessibility isn’t built in, people don’t just struggle—they drop off. That’s why […]

Data Science

GCP: Building a RAG Pipeline with AlloyDB AI and Vertex AI

One Database, Infinite Context: Why Your Next RAG App Should Start in SQL: The biggest challenge in Generative AI is “hallucination.” Retrieval-Augmented Generation (RAG) solves this by giving an LLM access to your private data. While most RAG stacks require complex Python “glue code,” Google Cloud’s AlloyDB AI allows you to handle the entire retrieval […]

Data Science

Finding the Right GenAI Model for Right Task

Where It All Began The inspiration for exploring this topic arose while developing a POC to generate accurate graphical reports and charts from quantitative data. Naturally, the first thought was GPT. It’s everywhere—the “default” AI for almost any task. ChatGPT was given a try. It worked to an extent, displaying text-based charts or even generating […]

Harshit Wadhwa
Harshit Wadhwa
Read

DevOps

Leadership in the Age of AI + AWS

Artificial Intelligence has managed to move from research labs to boardroom conversations. Today, every technology leader is under pressure to “do AI.” Customers want personalized experiences, competitors are embedding AI into their offerings, and investors expect a clear AI strategy in every roadmap. But here’s the hard truth: the majority of AI projects fail to […]

Vijit Vidya
Vijit Vidya
Read

Project Management

The Future of Project Management: How Generative AI is Redefining the PM Role

Introduction Project management is about handling people, tasks, and results together. For many years, project managers have been making plans, tracking work, and delivering projects with the help of different tools. Now a new change has come with Generative AI. This technology is slowly changing how project managers work. It is not about project managers […]

Ankit Sharma
Ankit Sharma
Read

Python

Building Your First LangGraph Agent: A Beginner’s Guide to AI-Powered Candidate Shortlisting

Using LangGraph to Create an AI Agent- Beginner Guide Are you ready to create an AI agent effectively? In this post, we’ll use LangGraph, a robust framework for developing stateful, multi-step AI applications, to develop a basic candidate shortlisting agent that will demonstrate multiple LangGraph features. What is LangGraph? LangGraph, built on Langchain, is a […]

Ajmal Hasan
Ajmal Hasan
Read

BA

The BA’s Role in a GenAI World – Adapt, Thrive, Lead

A couple of years ago, the idea of a tool helping me write user stories or summarise a 50-page requirements document in minutes would have sounded like wishful thinking. Now, it’s just another Tuesday. Generative AI (GenAI) is no longer some distant “future tech” — it’s quietly becoming part of our daily workflows, whether we’ve […]

Alok Gaur
Alok Gaur
Read

Data Science

KAG : Knowledge Augmented Generation

Introduction LLMs, such as ChatGPT, have made a significant impact on the way people use technology. However, technology is far more advanced in its fundamentals as artificial intelligence indeed transforms the world. These models perform admirably in accomplishing general purpose undertakings, but when it comes to domain-specific fields such as medicine, finance, law, and engineering, […]