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.

Video Editing Enters a New Age with VideoCrafter: Open Diffusion AI Models for High-Quality Video Generation

VideoCrafter is a new open-source video creation and editing suite. Diffusion models, a machine learning model, fuel it. These models may generate photo- and...

Deciphering Memorization in Neural Networks: A Deep Dive into Model Size, Memorization, and Generalization on Image Classification Benchmarks

To learn statistically, one must balance memorization of training data and transfer to test samples. However, the success of overparameterized neural models casts doubt...

Meet FastEmbed: A Fast and Lightweight Text Embedding Generation Python Library

Words and phrases can be effectively represented as vectors in a high-dimensional space using embeddings, making them a crucial tool in the field of...

This AI Research Developed a Noise-Resistant Method for Detecting Object Edges Without Prior Imaging

Significant attention in computer vision has been focused on developing robust and efficient edge detection algorithms. Edge detection approaches, which span from traditional edge...

M42 Introduces Med42: An Open-Access Clinical Large Language Model (LLM) to Expand Access to Medical Knowledge

M42 Health, based in Abu Dhabi, UAE, has just published Med42, a promising new open-access clinical large language model. The release of this 70...

Microsoft Azure AI Introduces Idea2Img: A Self-Refinancing Multimodal AI Framework For The Development And Design Of Images Automatically

The goal of "image design and generation" is to generate an image based on a broad concept provided by the user. This input IDEA...

Recognition and Generation of Object-State Compositions in Machine Learning Using “Chop and Learn”

The real world contains objects of varying sizes, hues, and textures. Visual qualities, often called states or attributes, can be innate to an item...

This AI Paper Introduces Lemur and Lemur Chat For Harmonizing Natural Language and Code For Language Agents

In a broad sense, intelligent agents are autonomous problem solvers endowed with perception, judgment, and action capabilities based on data gathered from their surroundings....

Researchers from Princeton and Meta AI Introduce MemWalker: A New Method that First Processes the Long Context into a Tree of Summary Nodes

Adopting the Transformer architecture with self-attention and increases in model size and pre-training data has led to significant progress in large language models (LLMs)....

Meet GTE-tiny: A Powerful Text Embedding Artificial Intelligence Model for Downstream Tasks

Alibaba DAMO Academy's GTE-tiny is a lightweight and speedy text embedding model. It uses the BERT framework and has been trained on a massive...

From Specialists to General-Purpose Assistants: A Deep Dive into the Evolution of Multimodal Foundation Models in Vision and Language

The computer vision community faces a wide range of challenges. Numerous seminar papers were discussed during the pretraining era to establish a comprehensive framework...

Meet Mistral Trismegistus 7B: An Instruction Dataset on the Esoteric, Spiritual, Occult, Wisdom Traditions…

Mistral Trismegistus-7B is a Google AI-developed, gigantic language model trained on an enormous dataset of literature and code that included a sizeable amount of...