Back

Everyone wants AI agents. Very few enterprises can actually run them. Here’s the uncomfortable truth: AI agents don’t fail because they’re not smart. They fail because organizations aren’t ready. In demos, agents look cheap. In production, costs e

AI relies on robust data management across 7 key components to build effective AI models: 1. sources, 2. ingestion, 3. storage, 4. transformation, 5. analytics, 6. governance and security, and 7. orchestration.

Recently learn how LLM works, maths behind attention layers and transformer, continously trying to keep up with rapid development in AI space, getting so overwhelmed 🥲 Now google came with "Mixture-of-Agents (MoA): A Breakthrough in LLM Performance

Building AI infrastructure seeking technical co founder (AI,ML) Training and deploying production ready ai systems requires deep expertise in data preprocessing, model selection, tuning and scalable infrastructure. Most businesses struggle to move f

Everyone is building agents, but only a small number truly understand what it takes to run them in production. Here’s the part people usually avoid saying: 𝗠𝗮𝗸𝗶𝗻𝗴 𝗮𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 𝗱𝗲𝘃 𝗶𝘀 𝗽𝗿𝗲𝘁𝘁𝘆 𝗲𝗮𝘀𝘆. In development, everything

Yep 2025 is the era of ai agents. We have MCPS that is the Model context protocol in which your AI agent that is a LLM model will have a access to server and that server will have tools like duckduckgo serach YFinance etc this was from antopic ai and

Google introduced yet another spectacular toolkit, the Agent Development Kit (ADK)—a free, open-source Python toolkit designed to simplify the creation of advanced AI agents. ADK empowers developers to build, test, and deploy multi-agent systems with

5 Layers of AI Product Development. I've explained each in short, simple steps below. 1. 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿 → Handles everything the user sees and interacts with → Ensures login security and smooth user experience → Stores session co

What we once called Data Science is quietly transforming into something much broader today. Earlier, the formula felt simple and clearly defined for anyone entering analytics careers. Statistics plus software skills created the modern data scientist