🔥 One of the most exciting conversations in AI right now is about “context engineering” — how we design and deliver the right data and information for AI to make better decisions.
Context engineering is emerging as a critical discipline: designing, assembling, and optimizing what you feed into an LLM. It’s the art and science behind how RAG, agents, copilots, and AI apps create real business value.
And it’s much more than just writing prompts (which is just one small part).
This excellent diagram from Philipp Schmid (Google DeepMind) illustrates the key components that shape a model’s behavior: ✅ Instructions & system prompts ✅ User intent ✅ State & short-term memory ✅ Long-term memory ✅ Retrieved context (RAG) ✅ Tools & structured outputs
The future of AI isn’t just about better prompts — it’s about context engineering at scale. Think of it as the new software architecture — but for AI reasoning. Like any engineering discipline, it’s becoming repeatable, measurable, and mission-critical. #ai#promptengineering#contextebgineering#aiagents
Techtter
🔥 One of the most exciting conversations in AI right now is about “context engineering” — how we design and deliver the right data and information for AI to make better decisions.
Context engineering is emerging as a critical discipline: designing, assembling, and optimizing what you feed into an LLM. It’s the art and science behind how RAG, agents, copilots, and AI apps create real business value.
And it’s much more than just writing prompts (which is just one small part).
This excellent diagram from Philipp Schmid (Google DeepMind) illustrates the key components that shape a model’s behavior:
âś… Instructions & system prompts
âś… User intent
âś… State & short-term memory
âś… Long-term memory
âś… Retrieved context (RAG)
âś… Tools & structured outputs
The future of AI isn’t just about better prompts — it’s about context engineering at scale.
Think of it as the new software architecture — but for AI reasoning. Like any engineering discipline, it’s becoming repeatable, measurable, and mission-critical.
#ai #promptengineering #contextebgineering #aiagents
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