Author: Aneesh Tickoo

Aneesh Tickoo
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Aneesh Tickoo is a consulting intern at MarktechPost. He is currently pursuing his undergraduate degree in Data Science and Artificial Intelligence from the Indian Institute of Technology(IIT), Bhilai. He spends most of his time working on projects aimed at harnessing the power of machine learning. His research interest is image processing and is passionate about building solutions around it. He loves to connect with people and collaborate on interesting projects.

Meet Skill-it: A Data-Driven Skills Framework for Understanding and Training Language Models

AI Shorts
Large language models (LMs) are remarkably capable of authoring source code, creating original works of art, and conversing with people. The data used to...

NTU Singapore Researchers Introduce ResShift: A New Upscaler Model That Uses Residual Shifting And Achieves Image Super-Resolution Faster Compared To Other Methods

AI Shorts
A basic issue in low-level vision is image super-resolution (SR), which aims to recover the high-resolution (HR) picture from the low-resolution (LR) one. Due...

Meet QLORA: An Efficient Finetuning Approach That Reduces Memory Usage Enough To Finetune A 65B Parameter Model On A Single 48GB GPU While Preserving...

AI Shorts
Large language models (LLMs) may be improved via finetuning, which also allows for adding or removing desired behaviors. However, finetuning big models is prohibitively...

Meet MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

AI Shorts
Recently, techniques focusing on learning content features—specifically, features holding the information that lets us identify and discriminate objects—have dominated self-supervised learning in vision. Most...

Researchers from NYU and Meta AI Studies Improving Social Conversational Agents by Learning from Natural Dialogue between Users and a Deployed Model, without Extra...

AI Shorts
Human input is a key tactic for improving social dialogue models. In reinforcement learning with human feedback, when many human annotations are required to...

Meet FACTOOL: A Task and Domain Agnostic Framework for Detecting Factual Errors of Texts Generated by Large Language Models (e.g., ChatGPT)

AI Shorts
GPT-4 is an example of generative artificial intelligence (AI) technology, which combines several tasks in natural language processing into a single sequence-generating issue. With...

Google DeepMind and the University of Tokyo Researchers Introduce WebAgent: An LLM-Driven Agent that can Complete the Tasks on Real Websites Following Natural Language...

AI Shorts
Several natural language activities, including arithmetic, common sense, logical reasoning, question-and-answer tasks, text production, and even interactive decision-making tasks, may be solved using large...

KAIST Researchers Introduce FaceCLIPNeRF: A Text-Driven Manipulation Pipeline of a 3D Face Using Deformable NeRF

AI Shorts
A crucial component of 3D digital human content improvements is the ability to manipulate 3D face representation easily. Although Neural Radiance Field (NeRF) has...

This AI Paper Proposes to Inject the 3D World into Large Language Models and Introduce a Whole New Family of 3D-LLMs

AI Shorts
Over the last several years, they have seen a rise in large language models (LLMs) (like GPT4) that are excellent at various tasks, including...

This Artificial Intelligence (AI) Paper From South Korea Proposes FFNeRV: A Novel Frame-Wise Video Representation Using Frame-Wise Flow Maps And Multi-Resolution Temporal Grids

AI Paper Summary
Research on neural fields, which represent signals by mapping coordinates to their quantities (e.g., scalars or vectors) with neural networks, has exploded recently. This...

Meet TR0N: A Simple and Efficient Method to Add Any Type of Conditioning to Pre-Trained Generative Models

AI Shorts
Recently, large machine-learning models have excelled across a variety of tasks. However, training such models calls for a lot of computer power. Thus, it...

This Python Library ‘Imitation,’ Provides Open-Source Implementations of Imitation and Reward Learning Algorithms in PyTorch

AI Paper Summary
In areas with clearly defined reward functions, like games, reinforcement learning (RL) has outperformed human performance. Unfortunately, it is difficult or impossible for many...
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