Long-Context Model
How modern architectures handle 100K to 1M+ token contexts through positional encoding advances, memory-efficient attention, and …
Context-Window
Memory Patterns for Conversational AI - Short-Term and Long-Term
Architectural patterns for giving AI systems memory across conversations, from sliding context windows to persistent vector stores and user …
Token Budget
The maximum number of tokens allocated for an LLM request or workflow, used to control costs, latency, and context window utilization.
Context Window Management Patterns
Summarization, sliding window, retrieval-augmented, and hierarchical context patterns for handling conversations and documents that exceed …