Скачать или смотреть C# - Stateful Chat Sessions in Local Memory. Volume 9. Chapter 10

In-memory state management for local Edge AI applications is the architectural discipline of maintaining conversational context directly within the application's Random Access Memory (RAM), acting as a volatile, high-speed intermediary between the user's input and the deterministic inference engine. Unlike stateless HTTP requests where every interaction is treated as a fresh, context-free query, stateful sessions allow the Large Language Model (LLM) to "remember" previous turns, enabling coherent dialogue, multi-step reasoning, and personalized interactions. This is particularly critical when running models like Microsoft's Phi-2 or Meta's Llama 2 locally via ONNX Runtime, where hardware constraints (VRAM/Compute) necessitate strict control over the data fed into the model.

00:04 Moving on to Chapter 10: Stateful Chat Sessions in Local...
06:12 Image: This diagram illustrates the volatile, in-memory state interacting with the...
06:22 Turning our attention to C Sharp Architectural Patterns for State...
06:46 Code Section
07:54 Now, let's explore 2. Interfaces for Abstraction - The "Swappable" Concept
08:17 Code Section
08:55 Now, let's explore 3. Span T and Memory T for Token Handling....
11:58 Code Section
17:22 Now, let's talk about Theoretical Foundations. The theoretical foundation of...
18:08 Code Section