Generative AI has entered the daily work and life of many people. Nowadays, with just a simple input on a computer, users can generate answers or media content to their questions or needs through DNN models (typically using a large language model, LLM). However, the drawback of this application scenario is the overly simplistic operation, … Read more
Today, artificial intelligence is permeating almost all edge and embedded markets, creating devices with more powerful performance and richer functionalities, ranging from predictive maintenance in industrial machines to voice activation in household appliances, and supporting more complex computer vision applications and autonomous machines. Generative Artificial Intelligence(GenAI) is also rising in edge devices, enabling these devices … Read more
Introduction The previous article “Implementing LLM from Scratch with 200 Lines of Python” created a “poetry generator” starting from a “probabilistic” implementation, ultimately using PyTorch to realize a classic Bigram model. In the Bigram model, each character is only related to the previous character. Despite this, our <span>babygpt_v1.py</span> also outputs sentences like “Gradually realizing the … Read more
Large Language Models (LLMs) are just getting started. The CEOs of OpenAI, Anthropic, and xAI share remarkably similar visions—exponential growth in artificial intelligence will transform humanity, with impacts far exceeding most people’s expectations. This is not just speculation. Today, the market and value of artificial intelligence have become a reality: Human developers using GitHub CoPilot … Read more
Click below👇“AI Knowledge Exchange”Follow our official account “The table lamp at home suddenly understands human speech, factory machines proactively report faults, and children’s toys can assist with homework… These scenarios are no longer science fiction! Recently, a technological trend has been quietly brewing—connecting the traditionally ‘silent’ Microcontroller Units (MCUs) with large AI models. What possibilities … Read more
Apr. Click the blue text to follow us 2025.04 Source: ContentTranslated fromsemiengineering, thank you. The CEOs of OpenAI, Anthropic, and xAI share a remarkably similar vision—advancements in artificial intelligence are exponential, and they will transform humanity, with impacts that will exceed most people’s expectations. This is not just speculation. The market for artificial intelligence and … Read more
Core Issues: Limitations of Existing Methods: Current large language model (LLM) agent frameworks and inference-time algorithms often struggle with complex planning problems. Main Reasons: Insufficient Validation: Many methods find it difficult to effectively validate whether the generated plans meet all constraints or only perform coarse validation at the task level. Poor Complexity Adaptability: Existing methods … Read more
It is well known that the max operator (or min operator) is a core component of the Bellman equation, and its efficient solution runs through various reinforcement learning algorithms, including mainstream Actor-Critic algorithms such as PPO, TRPO, DDPG, DSAC, and DACER. Friends familiar with algorithm design may have a question: why is the max operator … Read more