AI BriefingAI Agents: Core Concepts and Capabilities
Key point
AI agents are the next-generation AI paradigm that goes beyond the limitations of LLMs to enable autonomous problem-solving.
Details
AI agents are a next-generation AI paradigm that goes beyond the limitations of existing LLMs by autonomously perceiving, reasoning, and acting to achieve goals in dynamic environments. Beyond simple question-answering, they analyze situations, formulate plans, and solve problems by leveraging various tools.
The AI industry currently faces a shortage of data for training massive models and the risk of model collapse. As a result, instead of the approach of increasing model size, Inference Time Computing—which improves performance by increasing computation during the inference process—is gaining attention as a new breakthrough.
AI agents require several times to tens of times more inference compute than existing approaches for complex reasoning and tool use. This shift is increasing the importance of highly efficient, high-speed inference hardware, and Furiosa has developed the RNGD accelerator to address this.
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