build an agent? Building agents requires rethinking how your systems make decisions and handle complexity. Unlike conventional automation, agents are uniquely suited to workflows where traditional deterministic Selecting your models Different models have different strengths and tradeoffs related to task complexity, latency, and cost. As we’ll see in the next section on Orchestration, you might want to consider Single-agent systems A single agent can handle many tasks by incrementally adding tools, keeping complexity manageable and simplifying evaluation and maintenance. Each new tool expands its capabilities

synthesize key information, reason about conflicting facts and opinions, and distill clarity from complexity. - xAI Grok 3 Beta Press Release, 2/25 AI User + Usage + CapEx Growth = Unprecedented88 AI Agent product. In the process, the barrier to building with AI is collapsing – not just in cost, but in complexity. This is no longer just a platform shift. It’s an explosion of creativity. Technology history entrepreneurs could be created than any other in history. We often talk about bringing down the complexity curve to allow more people to choose this as a career. Each step along the entrepreneurial path

code • Support heterogenous devices, 10x better than CPU on the same board. • Move hardware complexity to software HW-SW Blueprint for Flexible Deep Learning Acceleration. Moreau et al. IEEE Micro

The number of examples you need for few-shot prompting depends on a few factors, including the complexity of the task, the quality of the examples, and the capabilities of the generative AI (gen AI) model

环境复杂程度等都会影响捕食进而影响捕食者与猎物之间的动 态关系。 Some factors, such as predator size (Elner andHughes, 1978) and habitat complexity, can affectpredation and subsequently influence the dynamicrelationship between predators and