Precise context, not more context #Shorts

Do you think giving an AI all your documents makes it smarter? The exact opposite can happen.

For a support task, the model needs the customer’s message, recent history, order status, and the right policy. It does not need an entire wiki or five years of conversations.

Adding too much information increases cost and latency, buries important data, and can expose information that the task should not have access to. Good context engineering is like setting up a workbench: selecting the necessary evidence, retaining useful state, and making the sources clear.

The next advantage will not just be having the most powerful model, but knowing what to put in front of it and when.

Full episode: https://youtu.be/6fZ_yLcE2F4

🤖 AI-generated content: the script, voices, and images in this episode were produced using artificial intelligence tools.

#Shorts