In a new video, Tech With Deepanshu breaks down how to architect AI systems effectively, going far beyond just crafting prompts. He emphasizes that before writing any code, aspiring AI professionals must fully understand the Generative AI stack and the economics behind solutions. The video organizes the architecture into five layers, teaching viewers how to build robust, scalable AI applications.
Key layers covered:
- Layer 1 (Silicon): The hardware foundation. Deepanshu explains that the choice of chips and infrastructure directly impacts performance and cost.
- Layer 2 (Brain): The model layer, including large language models and their capabilities. He discusses when to use pre-trained models versus fine-tuning.
- Layer 3 (Memory): How to manage context and persistent memory in AI agents to maintain coherent, long-term interactions.
- Layer 4 (Nervous system): The communication backbone — orchestrating multiple models, tools, and data sources.
- Layer 5 (Interface): Building user-facing experiences that abstract away complexity while delivering value.
Deepanshu’s core message is that "hope is not an architecture" in 2026. He urges developers to adopt a structured, layered approach to AI system design, rather than relying on prompt engineering alone.