Exploring How Agents Transform AI: From LLMs to SLMs to SAMs
Saturday, 28 September 2024, 09:29
Radical Shift: LLMs, SLMs, and SAMs in AI
From LLMs to SLMs and eventually SAMs, the evolution of agents is shaking up the AI landscape. Recent ETR survey data indicates a remarkable surge in investments, indicating enterprises jumped from 34% to 50% in AI and ML spending over the past year. This 16-point growth serves as a testament to the widespread recognition of these technologies' potential.
Transformational Capacities of AI Agents
- LLMs: Large Language Models revolutionizing text generation.
- SLMs: Streamlined Language Models enhancing interaction efficiency.
- SAMs: Self-Aware Models set to redefine machine understanding.
This trajectory illustrates how agents not only optimize processes but also expand the horizons of what AI can achieve in diverse sectors.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.