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.

Researchers from AMLab and CuspAI Introduced Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems

Deep learning faces difficulties when applied to large physical systems on irregular grids, especially when interactions occur over long distances or at multiple scales....

Beyond Monte Carlo Tree Search: Unleashing Implicit Chess Strategies with Discrete Diffusion

Large language models (LLMs) generate text step by step, which limits their ability to plan for tasks requiring multiple reasoning steps, such as structured...

Accelerating AI: How Distilled Reasoners Scale Inference Compute for Faster, Smarter LLMs

Improving how large language models (LLMs) handle complex reasoning tasks while keeping computational costs low is a challenge. Generating multiple reasoning steps and selecting...

Unveiling Hidden PII Risks: How Dynamic Language Model Training Triggers Privacy Ripple Effects

Handling personally identifiable information (PII) in large language models (LLMs) is especially difficult for privacy. Such models are trained on enormous datasets with sensitive...

Convergence AI Releases WebGames: A Comprehensive Benchmark Suite Designed to Evaluate General-Purpose Web-Browsing AI Agents

AI agents are becoming more advanced and capable of handling complex tasks across different platforms. Websites and desktop applications are intended for human use,...

Simplifying Self-Supervised Vision: How Coding Rate Regularization Transforms DINO & DINOv2

Learning useful features from large amounts of unlabeled images is important, and models like DINO and DINOv2 are designed for this. These models work...

SongGen: A Fully Open-Source Single-Stage Auto-Regressive Transformer Designed for Controllable Song Generation

Creating songs from text is difficult because it involves generating vocals and instrumental music together. Songs are unique as they combine lyrics and melodies...

Optimizing Imitation Learning: How X‑IL is Shaping the Future of Robotics

Designing imitation learning (IL) policies involves many choices, such as selecting features, architecture, and policy representation. The field is advancing quickly, introducing many new...

Sony Researchers Propose TalkHier: A Novel AI Framework for LLM-MA Systems that Addresses Key Challenges in Communication and Refinement

LLM-based multi-agent (LLM-MA) systems enable multiple language model agents to collaborate on complex tasks by dividing responsibilities. These systems are used in robotics, finance,...

Meet Fino1-8B: A Fine-Tuned Version of Llama 3.1 8B Instruct Designed to Improve Performance on Financial Reasoning Tasks

Understanding financial information means analyzing numbers, financial terms, and organized data like tables for useful insights. It requires math calculations and knowledge of economic...

Ola: A State-of-the-Art Omni-Modal Understanding Model with Advanced Progressive Modality Alignment Strategy

Understanding different data types like text, images, videos, and audio in one model is a big challenge. Large language models that handle all these...

How AI Chatbots Mimic Human Behavior: Insights from Multi-Turn Evaluations of LLMs

AI chatbots create the illusion of having emotions, morals, or consciousness by generating natural conversations that seem human-like. Many users engage with AI for...