Author: Pragati Jhunjhunwala

Pragati Jhunjhunwala
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Pragati Jhunjhunwala is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Kharagpur. She is a tech enthusiast and has a keen interest in the scope of software and data science applications. She is always reading about the developments in different field of AI and ML.

Game-Shaper-AI: An Open-Source Game-Engine Designed for Evolving Stories

Game-Shaper-AI is an AI-based software tool that interacts with AI Game-engines to address the challenges faced in the game development process, particularly for those...

This AI Paper from China Proposes Continuity-Relativity indExing with gAussian Middle (CREAM): A Simple yet Effective AI Method to Extend the Context of Large...

Large language models (LLMs) like transformers are typically pre-trained with a fixed context window size, such as 4K tokens. However, many applications require processing...

Thread: A Jupyter Notebook that Combines the Experience of OpenAI’s Code Interpreter with the Familiar Development Environment of a Python Notebook

The digital age demands for automation and efficiency in the domain of software and applications. Automating repetitive coding tasks and reducing debugging time frees...

Instruct-MusicGen: A Novel Artificial Intelligence AI Approach to Text-to-Music Editing that Fosters Joint Musical and Textual Controls

Researchers from C4DM, Queen Mary University of London, Sony AI, and Music X Lab, MBZUAI, have introduced Instruct-MusicGen to address the challenge of text-to-music...

Perplexica: The Open-Source Solution Replicating Billion Dollar Perplexity for AI Search Tools

In today’s information age, finding specific information you need can feel like searching for a needle in a haystack. Search engines act as a...

Google AI Proposes a Machine Learning Framework for Understanding AI Models in Medical Imaging

Recent advancements in machine learning have been actively used to improve the domain of healthcare. Despite performing remarkably well on various tasks, these models...

CheckMate: An Adaptable AI Platform for Evaluating Language Models by Their Interactions with Human Users

Large Language Models (LLMs) have advanced significantly in recent years. Models like ChatGPT and GPT-4 allow users to interact with and elicit natural language...

Google DeepMind Introduces Zipper: A Multi-Tower Decoder Architecture for Fusing Modalities

Integrating multiple generative foundation models helps by combining the strengths of models trained on different modalities, such as text, speech, and images, enabling the...

LLM-QFA Framework: A Once-for-All Quantization-Aware Training Approach to Reduce the Training Cost of Deploying Large Language Models (LLMs) Across Diverse Scenarios

Large Language Models (LLMs) have made significant advancements in natural language processing but face challenges due to memory and computational demands. Traditional quantization techniques...

LlamaFS: An Open-Source Self-Organizing File system with Llama-3

The recent release of this open-source project, LlamaFS, addresses the challenges associated with traditional file management systems, particularly in the context of overstuffed download...

MedVersa: A Generalist Learner that Enables Flexible Learning and Tasking for Medical Image Interpretation

Despite the advancement of artificial intelligence in the field of medical science, these systems have limited application. This limitation creates a gap in developing...

Large Language Models-Guided Dynamic Adaptation (LLM-DA): A Machine Learning Method for Reasoning on Temporal Knowledge Graphs TKGs

Researchers from Beijing University of Technology, China, Monash University, Australia, the University of Hong Kong, China, and Griffith University, Australia, introduced LLM-DA to interpret...

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