The Strategic Rise of the Forward Deployed Engineer
Forward Deployed Engineers are emerging as key drivers of enterprise AI, translating powerful models into
ADaSci Expert
Aniruddha Shrikhande
Aniruddha Shrikhande is an AI enthusiast and technical writer with a strong focus on Large Language Models (LLMs) and generative AI. Committed to demystifying complex AI concepts, he specializes in creating clear, accessible content that bridges the gap between technical innovation and practical application. Aniruddha's work explores cutting-edge AI solutions across various industries. Through his writing, Aniruddha aims to inspire and educate, contributing to the dynamic and rapidly expanding field of artificial intelligence.
Connecting the Dots of the AI Model–Framework–Platform Triangle
Confused about where AI models, frameworks, and platforms fit in the bigger picture? This article
Experience Agentic Payments in ChatGPT Powered by Razorpay and NPCI
Explore India’s new era of conversational commerce. This guide details how a groundbreaking partnership lets
Chartered Data Scientist (CDS™)
The highest distinction in the data science profession. Not just earn a charter, but use it as a designation.
Building Smarter Customer Support with Mem0 and Qdrant: A Practical Guide
Experience human-like customer support that remembers you. Build an AI tool with Mem0 and Qdrant
AdalFlow: A Hands-On Guide to Building and Optimizing LLM Task Pipelines
AdalFlow is a lightweight framework for LLM development, offering flexible and optimized tools to easily
DSPy based Prompt Optimization: A Hands-On Guide
DSPy simplifies prompt and parameter optimization for LLMs by automating adjustments, freeing developers from manual
Hands-On Guide to build an AI-Driven Local Search Engine with Ollama
Building an AI-Driven Local Search Engine with Ollama
A Practical Guide to Janus 1.3B’s Multimodal AI Capabilities
Janus is a cutting-edge AI system designed to handle both image and text tasks, excelling
A Guide to Running LLMs Locally with No-Code Framework Dify
Running LLMs locally on your CPU with Dify and Ollama opens up a world of
Optimizing LLM Inference for Faster Results Using Quantization – A Hands on Guide
Optimizing LLM inference through quantization is a powerful strategy that can dramatically enhance performance while
