Author: Aneesh Tickoo

Aneesh Tickoo
498 POSTS0 COMMENTS
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.

Overcoming Hallucinations in AI: How Factually Augmented RLHF Optimizes Vision-Language Alignment in Large Multimodal Models

By additional pre-training using image-text pairings or fine-tuning them with specialized visual instruction tuning datasets, Large Language Models may dive into the multimodal domain,...

Researchers from China Unveil ImageReward: A Groundbreaking Artificial Intelligence Approach to Optimizing Text-to-Image Models Using Human Preference Feedback

Recent years have seen tremendous developments in text-to-image generative models, including auto-regressive and diffusion-based methods. These models can produce high-fidelity, semantically relevant visuals on...

Researchers from ETH Zurich and Microsoft Introduce SCREWS: An Artificial Intelligence Framework for Enhancing the Reasoning in Large Language Models

Large Language Models (LLMs) have succeeded in several different reasoning tasks. To guarantee that the intended aim is met, it is sometimes required to...

Meet Text2Reward: A Data-Free Framework that Automates the Generation of Dense Reward Functions Based on Large Language Models

Reward shaping, which seeks to develop reward functions that more effectively direct an agent towards desirable behaviors, is still a long-standing difficulty in reinforcement...

Microsoft AI Research Proposes a New Artificial Intelligence Framework for Collaborative NLP Development (CoDev) that Enables Multiple Users to Align a Model with Their...

Although NLP models have demonstrated extraordinary strengths, they have challenges. The need to teach these models ideas is highlighted by unacceptable values buried in...

Researchers from China Introduce DualToken-ViT: A Fusion of CNNs and Vision Transformers for Enhanced Image Processing Efficiency and Accuracy

In recent years, vision transformers (ViTs) have become a potent architecture for various vision applications, including object identification and picture classification. This is because,...

This AI Paper Unveils OpenBA: An Open-Sourced 15B Parameter Bilingual Model Outperforming Predecessors and Aiding Chinese-centric NLP Advancements

The scaling rule of language models has produced success like never before. These huge language models have gotten novel emerging capabilities in addition to...

Cerebras Introduces the Bittensor Language Model Named BTLM-3B-8K: A New State-of-The-Art 3B Parameter Open-Source Language Model

Large language models (LLMs) are helpful in various contexts since they can carry out various text-based activities with simple instructions. Applications include content creation,...

How Large Language Models are Redefining Data Compression and Providing Unique Insights into Machine Learning Scalability? Researchers from DeepMind Introduce a Novel Compression Paradigm

Was this response better or worse?BetterWorseSame It has been said that information theory and machine learning are "two sides of the same coin" because of...

This AI Paper from Microsoft Introduces a New Approach to Training Language Models: Mimicking Human Reading Comprehension for Enhanced Performance in Biomedicine, Finance, and...

Domain-specific big language models have emerged due to the oversaturation of general large language models (LLMs). Three main categories may be used to group...

Are Large Language Models Really Good at Generating Complex Structured Data? This AI Paper Introduces Struc-Bench: Assessing LLM Capabilities and Introducing a Structure-Aware Fine-Tuning...

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. One of the fundamental components of...

How Do Large Language Models Perform in Long-Form Question Answering? A Deep Dive by Salesforce Researchers into LLM Robustness and Capabilities

While Large Language Models (LLMs) like ChatGPT and GPT-4 have demonstrated better performance across several benchmarks, open-source projects like MMLU and OpenLLMBoard have quickly...