Author: Afeerah Naseem

Afeerah Naseem
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Afeerah Naseem is a consulting intern at Marktechpost. She is pursuing her B.tech from the Indian Institute of Technology(IIT), Kharagpur. She is passionate about Data Science and fascinated by the role of artificial intelligence in solving real-world problems. She loves discovering new technologies and exploring how they can make everyday tasks easier and more efficient.

XElemNet: A Machine Learning Framework that Applies a Suite of Explainable AI (XAI) for Deep Neural Networks in Materials Science

AI Paper Summary
Deep learning has made advances in various fields, and it has made its way into material sciences as well. From tasks like predicting material...

SAM2Long: A Training-Free Enhancement to SAM 2 for Long-Term Video Segmentation

AI Paper Summary
Long Video Segmentation involves breaking down a video into certain parts to analyze complex processes like motion, occlusions, and varying light conditions. It has...

Starbucks: A New AI Training Strategy for Matryoshka-like Embedding Models which Encompasses both the Fine-Tuning and Pre-Training Phases

AI Paper Summary
In machine learning, embeddings are widely used to represent data in a compressed, low-dimensional vector space. They capture the semantic relationships well for performing...

Discrete Diffusion with Planned Denoising (DDPD): A Novel Machine Learning Framework that Decomposes the Discrete Generation Process into Planning and Denoising

AI Paper Summary
Generative AI models have become highly prominent in recent years for their ability to generate new content based on existing data, such as text,...

CodeJudge: An Machine Learning Framework that Leverages LLMs to Evaluate Code Generation Without the Need for Test Cases

AI Paper Summary
Artificial Intelligence is evolving significantly, and Large Language Models have shown a remarkable capacity to comprehend human-text inputs. Going beyond simple text to analyzing...

IoT-LLM: An AI Framework that Integrates IoT Sensor Data with LLMs to Enhance their Perception and Reasoning Abilities in the Physical World

AI Paper Summary
Widely growing sectors, like Healthcare, logistics, and smart cities, are interconnected on devices that require task reasoning capabilities in the Internet of Things (IoT)...

RLEF: A Reinforcement Learning Approach to Leveraging Execution Feedback in Code Synthesis

AI Shorts
Large Language Models (LLMs) generate code aided by Natural Language Processing. There is a growing application of code generation in complex tasks such as...

Integrated Value Guidance (IVG): An AI Method that Combines Implicit and Explicit Value Functions Applied to Token-Wise Sampling and Chunk-Level Beam Search

AI Paper Summary
Integrating human values after model training using Learning-based algorithms requires fine-tuning LLMs, which requires more computational power and is time-consuming. Additionally, it generates biased...
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