Author: 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.

A New AI Research Introduces Cluster-Branch-Train-Merge (CBTM): A Simple But Effective Method For Scaling Expert Language Models With Unsupervised Domain Discovery

Up to a trillion text tokens are used n the training of language models (LMs). This increases performance on several jobs but comes at...

A New AI Research From the University of Maryland Proposes a Model-Agnostic Secret-Keeping Approach in Question-Answering Systems

Improved accuracy is the main goal of most Question Answering (QA) efforts. The goal has been to make the response supplied text as accessible...

Researchers From Stanford Introduce Locally Conditioned Diffusion: A Method For Compositional Text-To-Image Generation Using Diffusion Models

3D scene modeling has traditionally been a time-consuming procedure reserved for people with domain expertise. Although a sizable collection of 3D materials is available...

Meet Instruct-NeRF2NeRF: An AI Method For Editing 3D Scenes With Text-Instructions

It has never been simpler to capture a realistic digital representation of a real-world 3D scene, thanks to the development of effective neural 3D...

Meet Text2Room: A New AI Method For Generating Room-Scale Textured 3D Meshes From A Given Text Prompt As Input

Mesh representations of 3D sceneries are essential to many applications, from developing AR/VR assets to computer graphics. However, making these 3D assets is still...

Huawei Researchers Develop Pangu-Σ: A Large Language Model With Sparse Architecture And 1.085 Trillion Parameters

Large Language Models (LLMs) have exhibited exceptional skills and potential in natural language processing, creation, and reasoning. By employing a large quantity of textual...

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

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

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...

This AI Paper Proposes UPRISE: A Lightweight and Versatile Approach to Improve the Zero-Shot Performance of Different Large Language Models LLMs on Various Tasks

Large language models like GPT-3, OPT, and BLOOM have demonstrated impressive capabilities in various applications. According to a recent study, there are two key...

Microsoft Researchers Propose A New AI Method That Uses Both Forward And Backward Language Models To Meet In The Middle And Improve The Training...

Language models (LMs) have been extensively utilized for various aided writing activities, including text summarization, code completion, and paraphrasing. LMs are effective tools for...

This AI Paper Proposes A New Method For Fine-Tuning Model Weights To Erase Concepts From Diffusion Models Using Their Own Knowledge

Modern text-to-image generative models have drawn interest because of the exceptional image quality and limitless generating potential of their output. These models may mimic...

Meet ViperGPT: A Python Framework that Combines Vision and Language Models Using Code Generation to Achieve State-of-the-Art Results

The groundbreaking work of Neural Module Networks in prior years aimed to break down jobs into simpler modules. Through training from beginning to finish...

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