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.

Researchers from the University of Washington and Duke University Introduce Punica: An Artificial Intelligence System to Serve Multiple LoRA Models in a Shared GPU...

To specialize in pre-trained large language models (LLMs) for domain-specific tasks with minimum training data, low-rank adaptation, or LoRA, is gaining popularity. Tenants may...

This AI Paper Introduces LLaVA-Plus: A General-Purpose Multimodal Assistant that Expands the Capabilities of Large Multimodal Models

Creating general-purpose assistants that can efficiently carry out various real-world activities by following users' (multimodal) instructions has long been a goal in artificial intelligence....

This AI Paper Introduces Grounding Large Multimodal Model (GLaMM): An End-to-End Trained Large Multimodal Model that Provides Visual Grounding Capabilities with the Flexibility to...

Large Multimodal Models (LMMs), propelled by the generative AI wave, have become crucial, bridging the gap between language and visual tasks. LLaVa, miniGPT4, Otter,...

Can Autoformalization Bridge the Gap Between Informal and Formal Language? Meet MMA: A Multilingual and Multi-Domain Dataset Revolutionizing the Field

Mathematical content described in a formal language that is computer-checkable mechanically is referred to as standard mathematics. Mathematicians use formal languages, which are incorporated...

Can Synthetic Clinical Text Generation Revolutionize Clinical NLP Tasks? Meet ClinGen: An AI Model that Involves Clinical Knowledge Extraction and Context-Informed LLM Prompting

Medical data extraction, analysis, and interpretation from unstructured clinical literature are included in the emerging discipline of clinical natural language processing (NLP). Even with...

Researchers from Waabi and the University of Toronto Introduce LabelFormer: An Efficient Transformer-Based AI Model to Refine Object Trajectories for Auto-Labelling

Modern self-driving systems frequently use Large-scale manually annotated datasets to train object detectors to recognize the traffic participants in the picture. Auto-labeling methods that...

Researchers from China Introduce CogVLM: A Powerful Open-Source Visual Language Foundation Model

Models of visual language are strong and flexible. Next, token prediction may be used to create a variety of vision and cross-modality tasks, such...

Researchers from China Propose iTransformer: Rethinking Transformer Architecture for Enhanced Time Series Forecasting

Transformer has become the basic model that adheres to the scaling rule after achieving great success in natural language processing and computer vision. Time...

This AI Paper Introduces JudgeLM: A Novel Approach for Scalable Evaluation of Large Language Models in Open-Ended Scenarios

Large language models (LLMs) have attracted much attention lately because of their exceptional ability to follow instructions and handle a wide range of open-ended...

Reconciling the Generative AI Paradox: Divergent Paths of Human and Machine Intelligence in Generation and Understanding

From ChatGPT to GPT4 to DALL-E 2/3 to Midjourney, the latest wave of generative AI has garnered unprecedented attention worldwide. This fascination is tempered...

Researchers from NVIDIA and UT Austin Introduced MimicGen: An Autonomous Data Generation System for Robotics

Training robots to perform various manipulation behaviors has been made possible by imitation learning from human demonstrations. One popular method involves having human operators...

Microsoft Researchers Unveil FP8 Mixed-Precision Training Framework: Supercharging Large Language Model Training Efficiency

Large language models have shown previously unheard-of proficiency in language creation and comprehension, paving the way for advances in logic, mathematics, physics, and other...

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