Author: Vineet Kumar

Vineet Kumar
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Vineet Kumar is a consulting intern at MarktechPost. He is currently pursuing his BS from the Indian Institute of Technology(IIT), Kanpur. He is a Machine Learning enthusiast. He is passionate about research and the latest advancements in Deep Learning, Computer Vision, and related fields.

LEAPS: A Neural Sampling Algorithm for Discrete Distributions via Continuous-Time Markov Chains (‘Discrete Diffusion’)

AI Paper Summary
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to...

Building an Ideation Agent System with AutoGen: Create AI Agents that Brainstorm and Debate Ideas

Agentic AI
Ideation processes often require time-consuming analysis and debate. What if we make two LLMs come up with ideas and then make them debate about...

Breaking the Autoregressive Mold: LLaDA Proves Diffusion Models can Rival Traditional Language Architectures

AI Paper Summary
The field of large language models has long been dominated by autoregressive methods that predict text sequentially from left to right. While these approaches...

ReasonFlux: Elevating LLM Reasoning with Hierarchical Template Scaling

AI Paper Summary
Large language models (LLMs) have demonstrated exceptional problem-solving abilities, yet complex reasoning tasks—such as competition-level mathematics or intricate code generation—remain challenging. These tasks demand...

Step by Step Guide on How to Build an AI News Summarizer Using Streamlit, Groq and Tavily

AI Shorts
Introduction In this tutorial, we will build an advanced AI-powered news agent that can search the web for the latest news on a given topic...

Open O1: Revolutionizing Open-Source AI with Cutting-Edge Reasoning and Performance

Editors Pick
The Open O1 project is a groundbreaking initiative aimed at matching the powerful capabilities of proprietary models, particularly OpenAI’s O1, through an open-source approach....

Building an AI Research Agent for Essay Writing

Agentic AI
In this tutorial, we will build an advanced AI-powered research agent that can write essays on given topics. This agent follows a structured workflow: Planning:...

Efficient Alignment of Large Language Models Using Token-Level Reward Guidance with GenARM

AI Paper Summary
Large language models (LLMs) must align with human preferences like helpfulness and harmlessness, but traditional alignment methods require costly retraining and struggle with dynamic...

Chain-of-Associated-Thoughts (CoAT): An AI Framework to Enhance LLM Reasoning

AI Paper Summary
Large language models (LLMs) have revolutionized artificial intelligence by demonstrating remarkable capabilities in text generation and problem-solving. However, a critical limitation persists in their...

Creating an AI Agent-Based System with LangGraph: Putting a Human in the Loop

Agentic AI
In our previous tutorial, we built an AI agent capable of answering queries by surfing the web and added persistence to maintain state. However,...

Creating an AI Agent-Based System with LangGraph: Adding Persistence and Streaming (Step by Step Guide)

Agentic AI
In our previous tutorial, we built an AI agent capable of answering queries by surfing the web. However, when building agents for longer-running tasks,...

Memorization vs. Generalization: How Supervised Fine-Tuning SFT and Reinforcement Learning RL Shape Foundation Model Learning

AI Paper Summary
Modern AI systems rely heavily on post-training techniques like supervised fine-tuning (SFT) and reinforcement learning (RL) to adapt foundation models for specific tasks. However,...
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