Author: Madhur Garg

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Madhur Garg is a consulting intern at MarktechPost. He is currently pursuing his B.Tech in Civil and Environmental Engineering from the Indian Institute of Technology (IIT), Patna. He shares a strong passion for Machine Learning and enjoys exploring the latest advancements in technologies and their practical applications. With a keen interest in artificial intelligence and its diverse applications, Madhur is determined to contribute to the field of Data Science and leverage its potential impact in various industries.

This AI Research Introduces Flash-Decoding: A New Artificial Intelligence Approach Based on FlashAttention to Make Long-Context LLM Inference Up to 8x Faster

Large language models (LLMs) such as ChatGPT and Llama have garnered substantial attention due to their exceptional natural language processing capabilities, enabling various applications...

SalesForce AI Research Developed ProGen: A Leap Forward in Protein Engineering Using Artificial Intelligence

The development of functional proteins has long been a critical pursuit in various scientific fields, including healthcare, biotechnology, and environmental sustainability. However, conventional approaches...

Researchers from Yale and Google Introduce HyperAttention: An Approximate Attention Mechanism Accelerating Large Language Models for Efficient Long-Range Sequence Processing

The rapid advancement of large language models has paved the way for breakthroughs in natural language processing, enabling applications ranging from chatbots to machine...

Meet DiffPoseTalk: A New Speech-to-3D Animation Artificial Intelligence Framework

Speech-driven expression animation, a complex problem at the intersection of computer graphics and artificial intelligence, involves the generation of realistic facial animations and head...

Unraveling Gene Regulation with Deep Learning: A New AI Approach to Understanding Alternative Splicing

Alternative splicing is a fundamental process in gene regulation, allowing a single gene to produce multiple mRNA variants and various protein isoforms. This mechanism...

Meet the Air-Guardian: An Artificial Intelligence System Developed by MIT Researchers to Track Where a Human Pilot is Looking (Using Eye-Tracking Technology)

In a world where autonomous systems are becoming increasingly prevalent, ensuring their safety and performance is paramount. Autonomous aircraft, in particular, have the potential...

Enhancing Language Models with Analogical Prompting for Improved Reasoning

In recent years, language models have demonstrated remarkable proficiency in understanding and generating human-like text. However, despite their impressive language capabilities, these models often...

MIT Researchers Introduce PFGM++: A Groundbreaking Fusion of Physics and AI for Advanced Pattern Generation

The field of generative modeling has witnessed significant advancements in recent years, with researchers striving to create models capable of generating high-quality images. However,...

Meta AI Introduces AnyMAL: The Future of Multimodal Language Models Bridging Text, Images, Videos, Audio, and Motion Sensor Data

In artificial intelligence, one of the fundamental challenges has been enabling machines to understand and generate human language in conjunction with various sensory inputs,...

Meet Colossal-LLaMA-2: An Open-Sourced Artificial Intelligence Approach with a Full-Flow Solution for LLaMA2 with High Scalability

In the ever-evolving field of artificial intelligence, the pursuit of large-scale deep-learning models capable of handling complex tasks has been at the forefront. These...

Meet InternLM-20B: An Open-Sourced 20B Parameter Pretrained Artificial Intelligence AI Framework

Researchers continually strive to build models that can understand, reason, and generate text like humans in the rapidly evolving field of natural language processing....

CMU Researchers Introduce AdaTest++: Enhancing the Auditing of Large Language Models through Advanced Human-AI Collaboration Techniques

Auditing Large Language Models (LLMs) has become a paramount concern as these models are increasingly integrated into various applications. Ensuring their ethical, unbiased, and...