Hands-On Guide to Generating Synthetic Data with Gretel AI
Gretel AI simplifies synthetic data generation with customizable models, privacy-first features, and cloud-based infrastructure. This
ADaSci Blog
Synthetic Data Generation for Fine-Tuning Custom Retrieval Models using Distilabel
Distilabel revolutionizes dataset creation by leveraging large language models and flexible pipelines. Generate custom, task-specific
A Practitioners Guide to Running Ollama models in Colab – Collama
Unlock the power of AI with Ollama using Google Colab. Run advanced language models effortlessly.
Corporate Trainings on Generative AI
Our corporate training program on Generative AI provides a unique opportunity to empower, retain, and advance your talent.
Time Expression Extraction and Normalization in Industrial Setting
Author(s): Piyush Arora, Bharath Venkatesh, Salil Rajeev Joshi, Rahul Ghosh
Classification of Quasars, Galaxies, and Stars Using Multi-Modal Deep Learning
Author(s): Sabeesh Ethiraj, Bharath Kumar Bolla
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
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.