Author: Janhavi Lande

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Janhavi Lande, is an Engineering Physics graduate from IIT Guwahati, class of 2023. She is an upcoming data scientist and has been working in the world of ml/ai research for the past two years. She is most fascinated by this ever changing world and its constant demand of humans to keep up with it. In her pastime she enjoys traveling, reading and writing poems.

This AI Research by Microsoft and Tsinghua University Introduces EvoPrompt: A Novel AI Framework for Automatic Discrete Prompt Optimization Connecting LLMs and Evolutionary Algorithms

AI Shorts
Large language models (LLMs) are excelling at pretty much all NLP tasks. However, traditional fine-tuning methods are costly for LLMs, leading to the development...

Can Video Segmentation Be More Cost-Effective? Meet DEVA: A Decoupled Video Segmentation Approach that Saves on Annotations and Generalizes Across Tasks

AI Shorts
Have you ever wondered how surveillance systems work and how we can identify individuals or vehicles using just videos? Or how is an orca...

Meet InstaFlow: A Novel One-Step Generative AI Model Derived from the Open-Source StableDiffusion (SD)

AI Shorts
Diffusion models have brought about a revolution in text-to-image generation, offering remarkable quality and creativity. However, it's worth noting that their multi-step sampling procedure...

This AI Research Introduces AstroLLaMA: A 7B Parameter Model Fine-Tuned from LLaMA-2 Using Over 300K Astronomy Abstracts From ArXiv

AI Shorts
The arrival of Large Language Models (LLMs) has attracted attention from many fields because of several important factors coming together. These factors include the...

This Paper by Alibaba Group Introduces FederatedScope-LLM: A Comprehensive Package for Fine-Tuning LLMs in Federated Learning

AI Shorts
Today, platforms like Hugging Face have made it easier for a wide range of users, from AI researchers to those with limited machine learning...

Meet FLM-101B: An Open-Source Decoder-Only LLM With 101 Billion Parameters

AI Shorts
Lately, Large language models (LLMs) are excelling in NLP and multimodal tasks but are facing two significant challenges: high computational costs and difficulties in...

Researchers from Cornell and Tel Aviv Introduce Doppelgangers: Learning to Disambiguate Images of Similar Structures

AI Shorts
Look at the images above. Can you tell the difference? It is as if trying to differentiate between twins. Maybe one has very slightly...

This AI Research Introduces Point-Bind: A 3D Multi-Modality Model Aligning Point Clouds with 2D Image, Language, Audio, and Video

AI Shorts
In the current technological landscape, 3D vision has emerged as a star on the rise, capturing the spotlight due to its rapid growth and...

Google Research Explores: Can AI Feedback Replace Human Input for Effective Reinforcement Learning in Large Language Models?

AI Shorts
Human feedback is essential to improve and optimize machine learning models. In recent years, reinforcement learning from human feedback (RLHF) has proven extremely effective...

This AI Research Presents Lucene Integration for Powerful Vector Search with OpenAI Embeddings

AI Shorts
Lately, there have been significant strides in applying deep neural networks to the search field in machine learning, with a specific emphasis on representation...

This AI Research Paper Presents a Comprehensive Survey of Deep Learning for Visual Localization and Mapping

AI Shorts
If I ask you, "Where are you now?'" or "What do your surroundings look like?" you will immediately be able to answer owing to...

NTU Singapore Researchers Propose IT3D: A New Plug-and-Play Refinement AI Method for Text-to-3D Generation

AI Shorts
There has been notable progress in the text-to-image domain, sparking a surge of enthusiasm within the research community to expand into 3D generation. This...
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