Fine-Tuning LLMs with Reinforcement Learning
Explore how Reinforcement Learning fine-tunes LLMs. This guide demystifies PPO, RLHF, RLAIF, DPO, and GRPO,
Artificial Intelligence Trends - Explore Our Blogs
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
Corporate Trainings on Generative AI
Our corporate training program on Generative AI provides a unique opportunity to empower, retain, and advance your talent.
Mastering Long Context AI through MiniMax-01
MiniMax-01 achieves up to 4M tokens with lightning attention and MoE, setting new standards for
Mastering Universal Jailbreak Defenses using Constitutional Classifiers
Constitutional Classifiers provide a robust framework to defend LLMs against universal jailbreaks, leveraging adaptive filtering
Marru(convert): Structure Data Creation from Unstructured Text for Fine-tuning Large Language Models in Indian Languages
Author(s): Mohamed Azharudeen M, Balaji Dhamodharan
Pixie: A Context-Aware Multi-Agent Multi-Modal Large Language Models (LLM) Architecture for Digital Marketing
Author(s): Vivek Vishwas Vichare, Kirill Dubovikov, and Team
Revolutionizing Model Fine-Tuning: A Unified Platform for Model Comparison
Author(s): Divyanshi Yadav, Vipul Sharma, Prakash Selvakumar
Database Search: Text2SQL using dynamic few-shot prompting with self- consistency using LLM
Author(s): Utkarsh Tripathi, Jeff Shelman
GenAI-Enhanced Intellectual Capital Development for Effective Case Deflection and Support
Author(s): Nishant Khedlekar, TND Tulsi Dashsharma, Sunil Kumar Rajgopal Prasad, Ashwin Rajan
Beyond the Mirror: AI Twins for Personalized Interaction Using Large Language Models
Author(s): Suvojit Hore, Somya Rai, Tarun Mishra, Biprarshi Debnath
Reimagining On-shelf Availability and Phantom Inventory with a Novel AI-Driven System
Author(s): Sunil Kumar Potnuru, Biswajit Pal, and Team
Certified Generative AI Engineer
ADaSci’s Certified Generative AI Engineer program is an upskilling-linked certification initiative designed to recognize talent in generative AI and large language models.
