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.

Top 25 Programming Languages and Their Uses

Editors Pick
The world of technology is constantly evolving, and programming languages are at the heart. With countless options available, it can be overwhelming to choose...

20 GitHub Repositories to Master Natural Language Processing (NLP)

AI Shorts
Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. As NLP continues to advance,...

MCSFF Framework: A Novel Multimodal Entity Alignment Framework Designed to Capture Consistency and Specificity Information across Modalities

AI Paper Summary
Multi-modal entity alignment (MMEA) is a technique that leverages information from various data sources or modalities to identify corresponding entities across multiple knowledge graphs....

15 Fundamental Mathematics Theories Needed to Understand AI

AI Shorts
Mathematics is the cornerstone of artificial intelligence. These theories provide the framework for developing intelligent systems capable of learning, reasoning, and making decisions. From...

Differentiable Rendering of Robots (Dr. Robot): A Robot Self-Model Differentiable from Its Visual Appearance to Its Control Parameters

AI Paper Summary
Visual and action data are interconnected in robotic tasks, forming a perception-action loop. Robots rely on control parameters for movement, while VFMs excel in...

Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise

AI Paper Summary
Quantum computers are a revolutionary technology that harnesses the principles of quantum mechanics to perform calculations that would be infeasible for classical computers. Evaluating...

MentalArena: A Self-Play AI Framework Designed to Train Language Models for Diagnosis and Treatment of Mental Health Disorders

AI Paper Summary
In today's fast-paced and interconnected world, mental health is more important than ever. The constant pressures of work, social media, and global events can...

Distilabel: An Open-Source AI Framework for Synthetic Data and AI Feedback for Engineers with Reliable and Scalable Pipelines based on Verified Research Papers

Editors Pick
In the rapidly evolving landscape of artificial intelligence, the quality and quantity of data play a pivotal role in determining the success of machine...

SpeechBrain: A PyTorch-based Speech Toolkit

AI Shorts
Speech and audio processing is crucial in models involving speech data, particularly in handling complex tasks such as speech recognition, text-to-speech synthesis, speaker recognition,...

MOSEL: Collection of Open Source Speech Data for Speech Foundation Model Training on EU Languages

AI Shorts
While existing speech datasets are heavily skewed towards English, many EU languages are underserved in terms of accessible and high-quality speech data. This lack...

MinerU: An Open-Source PDF Data Extraction Tool

AI Shorts
Extracting structured data from unstructured sources like PDFs, webpages, and e-books is a significant challenge. Unstructured data is common in many fields, and manually...

LightLLM: A Lightweight, Scalable, and High-Speed Python Framework for LLM Inference and Serving

AI Shorts
Large language models (LLMs) have advanced significantly in recent years. However, its real-world applications are restricted due to substantial processing power and memory requirements....
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