Author: Dhanshree Shripad Shenwai

Dhanshree Shripad Shenwai
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Dhanshree Shenwai is a Computer Science Engineer and has a good experience in FinTech companies covering Financial, Cards & Payments and Banking domain with keen interest in applications of AI. She is enthusiastic about exploring new technologies and advancements in today’s evolving world making everyone's life easy.

DiJiang: A Groundbreaking Frequency Domain Kernelization Method Designed to Address the Computational Inefficiencies Inherent in Traditional Transformer Models

Outstanding results in various tasks, including document generation/summarization, machine translation, and speech recognition, have propelled the Transformer architecture to the forefront of Natural Language...

Meet Dawn AI: An AI Analytics Start-Up Transforming User Requests and Model Outputs into Metrics

AI applications exist in every business, so it's little wonder the field is booming. Nevertheless, there is still a major challenge: comprehending the user-AI...

Meet Guide Labs: An AI Research Startup Building Interpretable Foundation Models that can Reliably Explain their Reasoning

New AI applications and breakthroughs constantly cause the market to flourish. However, the need for more openness in existing models is a big roadblock...

Layerwise Importance Sampled AdamW (LISA): A Machine Learning Optimization Algorithm that Randomly Freezes Layers of LLM Based on a Given Probability

Tasks like creating documents, developing complex code, answering queries, and conducting human-like conversations are where large language models like ChatGPT shine. As LLMs find...

Meet Dragoneye: An AI Startup Revolutionizing Computer Vision for Developers

In the rapidly evolving world of technology, where the demand for sophisticated computer vision (CV) applications is soaring, a new startup named Dragoneye is...

Meet OpenFoundry: An AI Research Startup Building a Developer Infrastructure for Open Source AI

Developing and optimizing AI models requires significant work since developers frequently need help identifying the appropriate models for their particular requirements. Developing these AI...

Researchers from the University of York and Université Paris-Saclay Introduce DeepKnowledge for Generalisation-Driven Deep Learning Testing

Deep Neural Networks (DNNs) demonstrated tremendous improvement in numerous difficult activities, matching or even outperforming human ability. As a result of this accomplishment, DNNs...

Hugging Face Introduces Cosmopedia To Create Large-Scale Synthetic Data For Pre-Training

Hiring human annotators was a time-consuming and expensive technique traditionally used to create datasets for supervised fine-tuning and instruction-tuning. Due to the high cost,...

Meet Zep: An AI Research Startup Adding Long-Term Memory to Your AI Assistant

Assistants powered by artificial intelligence (AI) are quickly permeating every aspect of our lives, from homes and offices to cell phones. However, the current...

Meet Quivr: An Open Source RAG Framework with 38k+ Github Stars

In our digital world, everyone is always trying to access more data. It becomes increasingly more work to find what we need, recall what...

This AI Paper from Max Planck, Adobe, and UCSD Proposes Explorative Inbetweening of Time and Space Using Time Reversal Fusion (TRF)

Large image-to-video (I2V) models seem to have a lot of generalizability based on their recent successes. Despite the fact that these models can hallucinate...

Meet Pretzel: An AI Dev Startup with an Open-Source, Offline Browser-based Tool and AI-Native Alternative to Jupyter Notebooks

The artificial intelligence sector is seeing a surge in new entrants. Artificial intelligence's application is revolutionizing technology in fields like NLP (Natural Language Processing)...

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