What Is Context Engineering In AI? Techniques, Use Cases, And Why It Matters - Data Intelligence
2 Articles
2 Articles
What Is Context Engineering In AI? Techniques, Use Cases, And Why It Matters - Data Intelligence
Introduction: What is Context Engineering? Context engineering refers to the discipline of designing, organizing, and manipulating the context that is fed into large language models (LLMs) to optimize their performance. Rather than fine-tuning the model weights or architectures, context engineering focuses on the input—the prompts, system instructions, retrieved knowledge, formatting, and even the ordering of information. Context engineering isn…
What Is Context Engineering in AI? Techniques, Use Cases, and Why It Matters
Introduction: What is Context Engineering? Context engineering refers to the discipline of designing, organizing, and manipulating the context that is fed into large language models (LLMs) to optimize their performance. Rather than fine-tuning the model weights or architectures, context engineering focuses on the input—the prompts, system instructions, retrieved knowledge, formatting, and even the ordering of information. Context engineering isn…
Coverage Details
Bias Distribution
- There is no tracked Bias information for the sources covering this story.
To view factuality data please Upgrade to Premium