LLM vs LCM: How to Choose the Optimal AI Model for Your Project AI Models Table of Contents Technical Principles Application Scenarios Implementation Guide References Technical Principles Large Language Models (LLMs) Large Language Models (LLMs) are neural networks trained on massive text datasets. Prominent examples include GPT-4, PaLM, and LLaMA. Core characteristics include: Parameter Scale: Billions to trillions of parameters (10^9–10^12) Architecture: Deep bidirectional attention mechanisms based on Transformer Mathematical Foundation: Sequence generation via probability distribution $P(w_t|w_{1:t-1})$ Technical Advantages Multitask Generalization: Single models handle tasks like text generation, code writing, and logical reasoning Context Understanding: Support context windows up to …
Introduction Artificial Intelligence (AI) is transforming our lives and work at an unprecedented pace. From self-driving cars to medical diagnostics, from natural language processing to generative AI, technological advancements are driving changes across industries. The 2025 AI Research Trends Report provides the latest insights into the global AI landscape, revealing the direction of technological development and key insights. This article delves into the current state and future trends of AI research based on the core content of the “2025 AI Index Report.” We will explore various dimensions, including research papers, patents, model development, hardware advancements, conference participation, and open-source software, …