Three Core Abilities of GPT Explained

Three Core Abilities of GPT Explained

Through the previous two articles in this series, we learned about what large language models are and roughly understood the training process of large language models. After completing the training of GPT, computer scientists discovered that it exhibited many surprising abilities. Understanding these abilities is crucial for us to comprehend, learn, and utilize GPT. This … Read more

Capabilities Hierarchy of Intelligent Agents

Capabilities Hierarchy of Intelligent Agents

The capabilities of intelligent agents can be classified based on their level of intelligence and the complexity of their functions. Different levels of intelligent agents exhibit significant differences in handling task complexity, learning ability, decision-making ability, and adaptability. These classifications help researchers and engineers understand and design intelligent systems, and choose appropriate technologies and methods … Read more

Exploring the Evolution of Application Engineering Architecture in the AI Era

Exploring the Evolution of Application Engineering Architecture in the AI Era

AliMei’s Introduction Contemporary AI is surging forward. This article analyzes the evolution of application engineering architecture in the AI era from the characteristics of AI, the challenges it poses to development, and the differentiation of AI applications and scenarios. Preface In the current era of generative models, understanding and utilizing AI-related technologies is something that … Read more

Will OpenAI O3 Hit a Wall on the AGI Path?

Will OpenAI O3 Hit a Wall on the AGI Path?

Click Follow us by clicking the blue text above Cover image: Unlike the extension law during the pre-training phase, the performance test data for O3 shows the plasticity of model inference behavior in the post-training phase. “ 𝕀²·ℙarad𝕚g𝕞 Intelligent Square Paradigm Research: Writing Deconstructive Intelligence。 O3 is OpenAI’s L2 stage AGI product, the LLM inference … Read more

Exploring Neural Algorithm Reasoning in Graphs

Exploring Neural Algorithm Reasoning in Graphs

Developing artificial intelligence systems with advanced reasoning capabilities is a long-standing research problem. Traditionally, the main strategy for addressing this challenge involves the use of symbolic methods, where knowledge is explicitly represented through symbols and implemented through explicitly programmed rules. However, with the emergence of machine learning, systems have shifted towards being able to learn … Read more