A research team from The Hong Kong University of Science and Technology (HKUST) has developed a new modeling and optimization framework that helps researchers design modularized autonomous experimentation (MAE) platforms for new materials by determining the optimal combination of equipment before construction begins, thereby reducing time and cost before the platform is physically built.
But unfortunately some of the icons goes missing. Didn’t exactly follow the prompt either. Prompt (10 sec each) – subject_definitions: <Subject 1> is the centered young woman from <Picture 1>, preserving her exact facial identity, shoulder-length dark hair, natural skin appearance, oversized cream sweatshirt with the cat illustration and visible text “Good Night”, plaid pajama …
In this article, you will learn how to build a multilingual text classification pipeline using multilingual large language model (LLM) embeddings and Scikit-learn, without training…
In this article, you will learn how to treat prompt templates as tunable hyperparameters for a language model, using scikit-learn’s grid search to find the…
In this article, you will learn what voice agents are, how they differ from text-based AI systems, and how to build your knowledge from the…
In this article, you will learn how to fine-tune an agentic AI system holistically, covering all four critical dials: training data, parameter-efficient fine-tuning, runtime hyperparameters,…
In this article, you will learn what model distillation is, how it has evolved for large language models, and why it has become one of…
A central goal of autonomous reinforcement learning is continuous policy training without external resets. However, existing paradigms largely depend on underlying environmental reversibility, a property absent in real world manipulation, where events such as pushing objects off tables or spilling granular substances cannot be undone. We introduce REVERSAL-BENCH, a benchmark that controls reversibility via a …
Hiring at scale in industries such as retail, logistics, hospitality, and others has its fair share of challenges. Recruiting teams are expected to fill hundreds of roles within tight timelines, often with limited capacity and with tools that weren’t designed to seamlessly work together. As a result of this, applications pile up, phone screens get …
Read more “Reduce time-to-hire for quality candidates with AI-powered Amazon Connect Talent”
At Orange, the leading France-based multinational telecom provider, there are days when engineering teams set aside their delivery backlogs and spend the day cleaning up cloud spend together. There’s a leaderboard. There are goodies on the line. Experienced practitioners guide the newcomers, so people learn the work while doing it. By the end of the …
Read more “How Orange built FinOps accountability, and why agents are next”