Author: Divyesh Vitthal Jawkhede

Divyesh Vitthal Jawkhede
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Divyesh is a consulting intern at Marktechpost. He is pursuing a BTech in Agricultural and Food Engineering from the Indian Institute of Technology, Kharagpur. He is a Data Science and Machine learning enthusiast who wants to integrate these leading technologies into the agricultural domain and solve challenges.

NOVA: A Novel Video Autoregressive Model Without Vector Quantization

AI Paper Summary
Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant text through sequential prediction. These LLms excel at handling large datasets and...

Mix-LN: A Hybrid Normalization Technique that Combines the Strengths of both Pre-Layer Normalization and Post-Layer Normalization

AI Paper Summary
The Large Language Models (LLMs) are highly promising in Artificial Intelligence. However, despite training on large datasets covering various languages  and topics, the ability to...

Apple Researchers Introduce ARMADA: An AI System for Augmenting Apple Vision Pro with Real-Time Virtual Robot Feedback

Uncategorized
Imitation learning (IL) is one of the methods in robotics where robots are trained to mimic human actions based on expert demonstrations. This method...

Slow Thinking with LLMs: Lessons from Imitation, Exploration, and Self-Improvement

AI Paper Summary
Reasoning systems such as o1 from OpenAI were recently introduced to solve complex tasks using slow-thinking processes. However, it is clear that large language...

CMU Researchers Propose miniCodeProps: A Minimal AI Benchmark for Proving Code Properties

AI Paper Summary
Recently, AI agents have demonstrated very promising developments in automating mathematical theorem proving and code correctness verification using tools like Lean. Such tools pair...

Researchers from UCLA and Apple Introduce STIV: A Scalable AI Framework for Text and Image Conditioned Video Generation

AI Paper Summary
Video generation has improved with models like Sora, which uses the Diffusion Transformer (DiT) architecture. While text-to-video (T2V) models have advanced, they often find...

This AI Paper Introduces A Maximum Entropy Inverse Reinforcement Learning (IRL) Approach for Improving the Sample Quality of Diffusion Generative Models

AI Paper Summary
Diffusion models are closely linked to imitation learning because they generate samples by gradually refining random noise into meaningful data. This process is guided...

From Scale to Density: A New AI Framework for Evaluating Large Language Models

AI Paper Summary
Large language models (LLMs) have made important advances in artificial intelligence, with superior performance on various tasks as their parameters and training data grow....

VisOnlyQA: A New Dataset for Evaluating the Visual Perception of LVLMs (Large Vision Language Models)

AI Paper Summary
Large Vision Language Models (LVLMs) have demonstrated significant advancements across various challenging multi-modal tasks over the past few years.  Their ability to interpret visual...

Noise-Augmented CAM (Continuous Autoregressive Models): Advancing Real-Time Audio Generation

AI Paper Summary
Autoregressive models are used to generate sequences of discrete tokens. The next token is conditioned by the preceding tokens in a given sequence in...

UC Berkeley Researchers Explore the Role of Task Vectors in Vision-Language Models

AI Paper Summary
Vision-and-language models (VLMs) are important tools that use text to handle different computer vision tasks. Tasks like recognizing images, reading text from images (OCR),...

Exploring Adaptivity in AI: A Deep Dive into ALAMA’s Mechanisms

AI Paper Summary
Language Agents (LAs) have recently become the focal point of research and development because of the significant advancement in large language models (LLMs). LLMs...
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