Author: 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.

This AI Paper Proposes LLM-Grounder: A Zero-Shot, Open-Vocabulary Approach to 3D Visual Grounding for Next-Gen Household Robots

Understanding their surroundings in three dimensions (3D vision) is essential for domestic robots to perform tasks like navigation, manipulation, and answering queries. At the...

This AI Paper Introduces the COVE Method: A Novel AI Approach to Tackling Hallucination in Language Models Through Self-Verification

A large corpus of text documents containing billions of text tokens is used to train large language models (LLMs). It has been demonstrated that...

This AI Paper Introduces RMT: A Fusion of RetNet and Transformer, Pioneering a New Era in Computer Vision Efficiency and Accuracy

After debuting in NLP, Transformer was transferred to the sphere of computer vision, where it proved particularly effective. In contrast, the NLP community has...

This AI Research from Apple Investigates a Known Issue of LLMs’ Behavior with Respect to Gender Stereotypes

Large language models (LLMs) have made tremendous strides in the last several months, crushing state-of-the-art benchmarks in many different areas. There has been a...

Meet BlindChat: An Open-Source Artificial Intelligence Project to Develop Fully in-Browser and Private Conversational AI

BlindChat, an open-source and privacy-first alternative to ChatGPT, was just launched by MithrilSecurity. BlindChat is an open-source AI initiative aiming to create the world's...

Researchers from the University of Oregon and Adobe Introduce CulturaX: A Multilingual Dataset with 6.3T Tokens in 167 Languages Tailored for Large Language Model...

By dramatically improving state-of-the-art performance across a wide range of tasks and revealing new emergent skills, large language models (LLMs) have profoundly impacted NLP...

Meet MAmmoTH: A Series of Open-Source Large Language Models (LLMs) Specifically Tailored for General Math Problem-Solving

Modern large language models (LLMs) rely heavily on mathematical reasoning, which is the primary focus of this work. There is a clear divide between...

Researchers from the University of Maryland and Meta AI Propose OmnimatteRF: A Novel Video Matting Method that Combines Dynamic 2D Foreground Layers and a...

Separating a video into numerous layers, each with its alpha matte, and then recomposing the layers back into the original video is the challenge...

Google Research Introduces MediaPipe FaceStylizer: An Efficient Design for Few-Shot Face Stylization

Researchers and consumers have shown increasing enthusiasm for smartphone applications that combine augmented reality (AR) in recent years. This allows users to generate and...

What’s Next in Protein Design? Microsoft Researchers Introduce EvoDiff: A Groundbreaking AI Framework for Sequence-First Protein Engineering

Deep generative models are becoming increasingly potent tools when it comes to the in silico creation of novel proteins. Diffusion models, a class of...

This AI Paper Introduces Agents: An Open-Source Python Framework for Autonomous Language Agents

In tasks like customer service, consulting, programming, writing, teaching, etc., language agents can reduce human effort and are a potential first step toward artificial...

MIT Researchers Created a New Annotated Synthetic Dataset of Images that Depict a Wide Range of Scenarios to Help Machine-Learning Models Understand the Concepts...

Large-scale pre-trained Vision and language models have demonstrated remarkable performance in numerous applications, allowing for the replacement of a fixed set of supported classes...