Author: Arham Islam

Arham Islam
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I am a Civil Engineering Graduate (2022) from Jamia Millia Islamia, New Delhi, and I have a keen interest in Data Science, especially Neural Networks and their application in various areas.

Meta AI Researchers Open-Source Pearl: A Production-Ready Reinforcement Learning AI Agent Library

Reinforcement Learning (RL) is a subfield of Machine Learning in which an agent takes suitable actions to maximize its rewards. In reinforcement learning, the...

Researchers from the University of Texas Showcase Predicting Implant-Based Reconstruction Complications Using Machine Learning

Artificial Intelligence (AI) has transformed almost every field today and has the potential to improve existing systems through automation, predictions, and optimizing decision-making. Breast...

UC Berkeley Researchers Propose an Artificial Intelligence Algorithm that Achieves Zero-Shot Acquisition of Goal-Directed Dialogue Agents

Large Language Models (LLMs) have shown great capabilities in various natural language tasks such as text summarization, question answering, generating code, etc., emerging as...

Can Language Models Reason Beyond Words? Exploring Implicit Reasoning in Multi-Layer Hidden States for Complex Tasks

Large Language Models (LLMs) have shown remarkable capabilities in tasks like language understanding and reasoning, marking a paradigm shift in how we interact with...

Meta Researchers Introduced VR-NeRF: An Advanced End-to-End AI System for High-Fidelity Capture and Rendering of Walkable Spaces in Virtual Reality

With the advent of affordable virtual reality (VR) technology, there has been significant growth in highly immersive visual media such as realistic VR photography...

Are You Doing Retrieval-Augmented Generation (RAG) for Biomedicine? Meet MedCPT: A Contrastive Pre-trained Transformer Model for Zero-Shot Biomedical Information Retrieval

Information Retrieval (IR) models have the ability to sort and rank documents on the basis of user queries, facilitating efficient and effective information access....

Intel Researchers Propose a New Artificial Intelligence Approach to Deploy LLMs on CPUs More Efficiently

Large Language Models (LLMs) have taken the world by storm because of their remarkable performances and potential across a diverse range of tasks. They...

This AI Paper Unveils DiffEnc: Advancing Diffusion Models for Enhanced Generative Performance

Diffusion models are powerful models that are prominent in a diverse range of generation tasks - images, speech, video, and music. They are able...

A New AI Research from China Introduces GLM-130B: A Bilingual (English and Chinese) Pre-Trained Language Model with 130B Parameters

In recent times, the zero-shot and few-shot capabilities of Large Language Models (LLMs) have increased significantly, with those with over 100B parameters giving state-of-the-art...

Unlocking the Secrets of CLIP’s Data Success: Introducing MetaCLIP for Optimized Language-Image Pre-training

In recent years, there have been exceptional advancements in Artificial Intelligence, with many new advanced models being introduced, especially in NLP and Computer Vision....

Researchers from the University of Washington and Princeton Present a Pre-Training Data Detection Dataset WIKIMIA and a New Machine Learning Approach MIN-K% PROB

Large Language Models (LLMs) are powerful models capable of processing large volumes of textual data. They are trained on a massive corpus of texts...

50+ New Cutting-Edge Artificial Intelligence AI Tools (November 2023)

AI tools are rapidly increasing in development, with new ones being introduced regularly. Check out some AI tools below that can enhance your daily...

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