Fine-Tuning LLMs with Reinforcement Learning
Explore how Reinforcement Learning fine-tunes LLMs. This guide demystifies PPO, RLHF, RLAIF, DPO, and GRPO,
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.
Building a Screen-Aware AI with ScreenEnv and Tesseract
Learn how to build screen-aware AI using ScreenEnv and Tesseract for dynamic, real-time screen content
The CXO’s Role in Building Agentic AI-Ready Talent
CXOs must lead talent transformation to build Agentic AI-ready teams through upskilling, mentoring, and applied
Chartered Data Scientist (CDS™)
The highest distinction in the data science profession. Not just earn a charter, but use it as a designation.
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
