What is Multiclass Classification? Multiclass Classification is a type of Supervised Learning used to predict which of several possible categories an observation belongs to. Similar to regression and binary classification, it follows the same training, validation, and evaluation iterative process, reserving a portion of the data for validating the model. Examples Predicting email categories (spam … Read more
Cover Image: nice view｜Source: Hailey I enjoy learning with “questions and curiosity”, which helps to systematize and solidify knowledge rather than just accumulating information. Follow this series of articles to explore 11 questions, which will greatly assist you in familiarizing yourself with Agent and Multi-agent technology. The next article will discuss the industry applications of … Read more
Imagine asking an LLM, “Did Aristotle use a laptop?” It might seriously fabricate a reason: “There was already wireless internet in ancient Greece…” This phenomenon of “seriously nonsense” is what we call the LLM’s “hallucination.” Paper: Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey Link: https://arxiv.org/pdf/2504.14520 The paper points out that meta-thinking— the ability … Read more
Why do multi-agent LLM systems fail? Abstract Despite the growing enthusiasm for multi-agent systems (MAS), which consist of multiple LLM agents collaborating to complete tasks, their performance improvements in popular benchmark tests remain minimal compared to single-agent frameworks. This gap highlights the necessity of analyzing the challenges that hinder the efficiency of MAS. In this … Read more