A Hands on Guide to Compact Vision Language Models using SmolDocling
SmolDocling, a 256M VLM, enables efficient document conversion using DocTags to preserve structure while reducing
Artificial Intelligence Trends - Explore Our Blogs
A Deep Dive into Chain of Draft Prompting
Chain of Draft (CoD) optimizes LLM efficiency by reducing verbosity while maintaining accuracy. It cuts
Mastering Multi-Head Latent Attention
DeepSeek’s MLA reduces KV cache memory via low-rank compression and decoupled positional encoding, enabling efficient
Corporate Trainings on Generative AI
Our corporate training program on Generative AI provides a unique opportunity to empower, retain, and advance your talent.
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
AI Assisted Single Line Diagram Copilot
Author(s): Kiran Y, Balaji L, Akhil Narayanan, Suhas Innanji, Mohit Suhasaria, Y B Aiswarya, Snekha
Harnessing AI for Detection and Correction of Hallucinations in Large Search Systems
Author(s): Ratnesh Parihar, Ritesh Agarwal
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.
