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.
Machine Learning Implementations Scrutinized With A Process Re-engineering Lens
Author(s): Abhinav Mathur, Sunny Verma, Arun Dahiya
Time Expression Extraction and Normalization in Industrial Setting
Author(s): Piyush Arora, Bharath Venkatesh, Salil Rajeev Joshi, Rahul Ghosh
Global-Local Scalable Explanations Using Linear Model Tree
Author(s): Aditya Lahiri, Narayanan U. Edakunni, Alireza Zaheri
Hyper localization of leaks in piping and cabling systems using reinforcement learning
Author(s):Pranav Parnerkar, Anindya Chatterjee, Indrajit Kar
Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model
Author(s): Jaydip Sen, Saikat Mondal, Sidra Mehtab
Predicting Custom Ad Performance Metric using Contextual Features
Author(s):Dushyant Rai Tara, Divyaprabha M, Prateek Kulkarni
ML based high-cardinality reduction methods to create geo-score to improve auto insurance Tweedie pricing model
Author(s):Suguna Jayaraj, Harmandeep Kaur
Optimizing Cost per Click for Digital Advertising Campaigns
Author(s): Aditya Jain, Sahil Khan
Predicting demand offset to react to unforeseen critical events
Author(s): Priyanka Telang, Mamatha Venkatesh, Naveen Yadav, Nithin Mathew, Prarthana M J
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.
