A well-engineered prompt can increase the performance of large language models; automatic prompt optimization techniques aim to increase performance without req...
The AI Revolution in Automation Artificial Intelligence and Machine Learning are revolutionizing automation by enabling systems to learn, adapt, and make intel...
Autoregressive models (ARMs) are hindered by slow sequential inference. While masked diffusion models (MDMs) offer a parallel alternative, they suffer from crit...
In this paper, we propose a Differentially Private Stochastic Gradient Push with Compressed communication (termed DP-CSGP) for decentralized learning over direc...
What is Over‑Smoothing? Over‑smoothing occurs when a model relies too heavily on the training data, effectively “memorizing” it instead of learning patterns th...
Panel 1: Anansi’s Mythic Web In West African folklore, Anansi spins webs of story and deception—structured, intentional, and rule‑bound. Each strand is a choic...
!Cover image for BiasAwareFeedback: Detecting Textual Bias with NLP Mini-Research Projecthttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gra...
Beyond writing code, these are the design-level decisions, trade-offs, and habits that quietly separate senior data scientists from everyone else. The post 6 Te...
While Large Language Model (LLM) agents show great potential for automated UI navigation such as automated UI testing and AI assistants, their efficiency has be...
The problem I’m exploring Most recommendation systems I’ve worked with or studied lean heavily on one of two things: - Browsing behavior clicks, views, dwell t...
What is Generative AI? Generative AI refers to the subset of artificial intelligence technologies that can generate new content after learning from a dataset....
From Prompts to Action: My Journey Through the Google & Kaggle AI Agents Bootcamp This is a submission for the Google AI Agents Writing Challengehttps://dev.to...
