Unlock On-Device AI through Google’s EmbeddingGemma
Google’s new on-device AI model, EmbeddingGemma, for RAG and semantic search.
ADaSci Expert
Vaibhav Kumar
From Robotic Speech to Realistic Emotion with ElevenLabs
From robotic beeps to hyper-realistic emotion, this article traces the journey of text-to-speech, exploring how
Building Simulations with a Single Prompt on GPT-5
Unlock game and simulation development with GPT-5. A single prompt can create complex, interactive applications,
Chartered Data Scientist (CDS™)
The highest distinction in the data science profession. Not just earn a charter, but use it as a designation.
Democratize data analysis and insights generation through the seamless translation of Natural Language into SQL queries
Abstract(s): Nikhil Ahuja, Pothukuchi Saketh, Siddhartha Pradeep
Using Large Language Models to Run Efficient Ad- campaigns: Applications of LLM in Programmatic Advertising
Author(s): Prakhar Yadav, Divya Prabha M, Manish Pathak, Ritwik Kulkarni, Srijan Mehrotra
Revolutionizing Energy Trading: Advancing the Energy Market with a Cutting-Edge Conversational generative AI powered Forecasting Tool
Author(s): Indrajit Kar, Zonunfeli Ralte, Arti Kumari, Maheshakumara Shivakumara
Modelling Approach for enhanced market expansion in Digital Marketing in B2B space
Author(s): Humeil Makhija, Vivek Vishwas Vichare, S. Sreyas Chaithanya
An Empirical Analysis of Deep Learning Models for Electric Vehicle Load Disaggregation
Author(s): Dilpreet Kaur Rehsi
IntelliQuery: Your very own AI-Driven Clinical Personal Assistant
Author(s): Deepika S, Arthi R
PII Detection in Emails through QLoRA Fine-tuned LLMs: A comparative analysis with BERT and GPT3.5
Author(s): Chinmay Prakash, Rishit Tyagi, Prakash Selvakumar
Leveraging generative AI with transformers and stable diffusion for rich diverse dataset synthesis in AgTech
Author(s): Anubhav Srivastava, Saravanan Murugan, Dilip Mathew Thomas, Divakar Roy, Abhishek Valsan
Upcoming Hands-On Workshop by ADaSci: Diving into Retrieval-Augmented Generation (RAG) with Vector Databases
In the ever-evolving landscape of Generative AI, where innovation propels the industry forward, the upcoming
