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.

Researchers from China Introduce ImageBind-LLM: A Multi-Modality Instruction Tuning Method of Large Language Models (LLMs) via ImageBind

Researchers have recently seen significant improvements in large language models' (LLMs) instruction tuning. ChatGPT and GPT-4 are general-purpose talking systems that obey human commands...

What’s the Connection Between Transformers and Support Vector Machines? Unveiling the Implicit Bias and Optimization Geometry in Transformer Architectures

Natural language processing (NLP) has revolutionized because of self-attention, the transformer design's key element, allowing the model to recognize intricate connections within input sequences....

How is AI Revolutionizing Audiobook Production? Creating Thousands of High-Quality Audiobooks from E-books with Neural Text-to-Speech Technology

Nowadays, many people read audiobooks instead of books or other media. Audiobooks not only let current readers enjoy information while on the road, but...

Meet PyGraft: An Open-Sourced Python-Based AI Tool that Generates Highly Customized, Domain-Agnostic Schemas and Knowledge Graphs

An increasingly popular method for representing data in a graph structure is the usage of knowledge graphs (KGs). A KG is a group of...

Microsoft Researchers Unveil PromptTTS 2: Revolutionizing Text-to-Speech with Enhanced Voice Variability and Cost-Effective Prompt Generation

The intelligibility and naturalness of synthesized speech have improved due to recent developments in text-to-speech systems. Large-scale TTS systems have been created for multi-speaker...

Meet ResFields: A Novel AI Approach to Overcome the Limitations of Spatiotemporal Neural Fields in Effectively Modeling Long and Complex Temporal Signals

The most popular neural network architecture for representing neural continuous spatiotemporal fields, also known as neural fields, is the multi-layer perceptron. This is because...

This AI Research Proposes DISC-MedLLM: A Comprehensive Solution that Leverages Large Language Models (LLMs) to Provide Accurate Medical Response

The rise of telemedicine has changed how healthcare is provided, opening up professional networks, lowering prices, and allowing for distant medical consultations. Additionally, intelligent...

Researchers from Microsoft Introduce Hydra-RLHF: A Memory-Efficient Solution for Reinforcement Learning with Human Feedback

Since becoming well known, the ChatGPT, GPT-4, and Llama-2 family models have won over users with their versatility as useful aides for various jobs....

Meet LLaSM: An End-to-End Trained Large Multi-Modal Speech-Language Model with Cross-Modal Conversational Abilities Capable of Following Speech-and-Language Instructions

Speech carries more information than writing since it takes semantic and paralinguistic information like tone. Additionally, speaking is a more practical and organic approach...

Rethinking Academic Integrity in the AI Era: A Comparative Analysis of ChatGPT and University Students in 32 Courses

Artificial intelligence (AI) that generates new content using machine learning algorithms to build on previously created text, audio, or visual information is known as...

Do Flamingo and DALL-E Understand Each Other? Exploring the Symbiosis Between Image Captioning and Text-to-Image Synthesis Models

Multimodal research that enhances computer comprehension of text and visuals has made major strides recently. Complex verbal descriptions from real-world settings may be translated...

This Artificial Intelligence AI Research Proposes SAM-Med2D: The Most Comprehensive Studies on Applying SAM to Medical 2D Images

By recognizing and separating different tissues, organs, or regions of interest, medical image segmentation is essential to studying medical pictures. For more exact diagnosis...

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