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.

Mechanistic Unlearning: A New AI Method that Uses Mechanistic Interpretability to Localize and Edit Specific Model Components Associated with Factual Recall Mechanisms

AI Paper Summary
 Large language models (LLMs) sometimes learn the things that we don't want them to learn and understand knowledge. It’s important to find ways to...

This AI Paper Introduces a Unified Perspective on the Relationship between Latent Space and Generative Models

AI Paper Summary
In recent years, there have been drastic changes in the field of image generation, mainly due to the development of latent-based generative models, such...

Controllable Safety Alignment (CoSA): An AI Framework Designed to Adapt Models to Diverse Safety Requirements without Re-Training

AI Paper Summary
As large language models (LLMs) become increasingly capable and better day by day, their safety has become a critical topic for research. To create...

This AI Paper from Google DeepMind Explores Inference Scaling in Long-Context RAG

AI Paper Summary
Long-context Large language models (LLMs) are designed to handle long input sequences, enabling them to process and understand large amounts of information. As the...

Baichuan-Omni: An Open-Source 7B Multimodal Large Language Model for Image, Video, Audio, and Text Processing

AI Paper Summary
Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models...

Google DeepMind Introduces DeepMind Control Vision Benchmark (DMC-VB): A Dataset and Benchmark to Evaluate the Robustness of Offline Reinforcement Learning Agents to Visual Distractors

AI Paper Summary
Reinforcement learning (RL)  provides a framework for learning behaviors for control and making decisions (known as policies) that help the model earn the most...

MIBench: A Comprehensive AI Benchmark for Model Inversion Attack and Defense

AI Paper Summary
A Model Inversion (MI) attack is a type of privacy attack on machine learning and deep learning models, where an attacker tries to invert...

Are LLMs Failing to Match with Suffix in Fill-in-the-Middle (FIM) Code Completion? Horizon-Length Prediction: A New AI Training Task to Advance FIM by Teaching...

AI Paper Summary
While writing the code for any program or algorithm, developers can struggle to fill gaps in incomplete code and often make mistakes while trying...

Dynamic Contrastive Decoding (DCD): A New AI Approach that Selectively Removes Unreliable Logits to Improve Answer Accuracy in Large Vision-Language Models

AI Paper Summary
Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities for capturing and reasoning over multimodal inputs and can process both images and text. While LVLM...
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