Скачать или смотреть C# - Managing Context Windows Locally. Volume 9. Chapter 8

The fundamental challenge of running Large Language Models locally is not computational power, but the scarcity of high-bandwidth memory (VRAM) relative to the model's appetite. In a cloud environment, we abstract away memory constraints by scaling horizontally. Locally, we are bound by the physical limits of our GPU. This section establishes the theoretical bedrock for managing these constraints, focusing on the interplay between context windows, token budgeting, and semantic pruning.

00:04 Now, let's talk about Chapter 8: Managing Context Windows Locally....
05:29 Code Section
08:05 Turning our attention to The Dynamic Pruning Logic. The "Pruning"...
08:59 Image: The diagram depicts the context management pipeline, where the `ActiveContext`...
09:10 Let's discuss Architectural Implications for C Sharp Developers. When building...
11:05 Code Section