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.

This AI Paper Proposes COLT5: A New Model For Long-Range Inputs That Employs Conditional Computation For Higher Quality And Faster Speed

Machine Learning
Machine learning models are needed to encode long-form text for various natural language processing tasks, including summarising or answering questions about lengthy documents. Since...

Meet Automated Reasoning And Tool-Use (ART): A Framework That Uses Frozen Large Language Models LLMs To Quickly Produce Intermediate Stages In Reasoning Programs

AI Paper Summary
Large language models can swiftly adapt to new tasks utilizing in-context learning by being given a few demos and real language instructions. This avoids...

A New AI Paper Explains The Different Levels of Expertise Large Language Models as General Pattern Machines Can Have

AI Shorts
LLMs, or large language models, are taught to incorporate the many patterns woven into a language's structure. They are used in robotics, where they...

Meet DreamIdentity: An Optimization-Free AI Method for Each Face Identity Keeping the Editability for Text-to-Image Models

AI Shorts
The discipline of creating visual material has recently changed thanks to diffusion-based large-scale text-to-image (T2I) models. These T2I models make producing engaging, expressive, and...

This AI Paper Explores the Potential of Large Language Models (LLMs) for Text Annotation Tasks with a Focus on ChatGPT

AI Shorts
High-quality labeled data are necessary for many NLP applications, particularly for training classifiers or assessing the effectiveness of unsupervised models. For instance, academics frequently...

Meet VampNet: A Masked Acoustic Token Modeling Approach to Music Synthesis, Compression, Inpainting, and Variation

AI Shorts
Significant improvements in the autoregressive creation of speech and music have recently been made due to discrete acoustic token modeling developments. For effective picture...

Meet SegGPT: A Generalist Model that Performs Arbitrary Segmentation Tasks in Images or Videos Via in-Context Inference

AI Shorts
In computer vision, which seeks to locate and reorganize significant notions at the pixel level, such as foreground, category, object instance, etc., segmentation is...

Meet AnimateDiff: An Effective AI Framework For Extending Personalized Text-to-Image (T2I) Models Into An Animation Generator Without Model-Specific Tuning

AI Shorts
Text-to-image (T2I) generative models have attracted unheard-of attention from both within and outside the research community, serving as a low-barrier entry point for non-researcher...

Meet AudioGPT: A Multi-Modal AI System Connecting ChatGPT With Audio Foundation Models

AI Shorts
The AI community is now significantly impacted by large language models, and the introduction of ChatGPT and GPT-4 has advanced natural language processing. Thanks...

Oxford Researchers Propose Farm3D: An AI Framework That Can Learn Articulated 3D Animals By Distilling 2D Diffusion For Real-Time Applications Like Video Games

AI Shorts
The phenomenal growth of generative AI has sparked fascinating advancements in picture production, with techniques like DALL-E, Imagen, and Stable Diffusion creating excellent images...

A New AI Research Introduces REV: A Game-Changer in AI Research – A New Information-Theoretic Measure Evaluating Novel, Label-Relevant Information in Free-Text Rationales

AI Shorts
Model explanations have proved essential for trust and interpretability in natural language processing (NLP). Free-text rationales, which provide a natural language explanation of a...

This AI Paper Introduces a Novel Class of Simulation-Free Objectives for Learning Continuous-Time Stochastic Generative Models between General Source and Target Distributions

AI Shorts
A potent family of generative models that can depict complicated distributions over high-dimensional spaces is score-based generative models (SBGMs), which include diffusion models. The...
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