Skill UI

Guides how to stretch limited LLM context windows by compressing, masking, caching, and partitioning information so agents process longer conversations or documents without enlarging models; includes when to trigger optimizations and concrete patterns for summaries, masking, KV-cache reuse, and budget tracking.

Guides teams through choosing and implementing validated Exa deployment architectures—from direct search to cached semantic layers and RAG pipelines—so integrations scale from simple apps to high-query, AI-enhanced solutions.

Hugging Face CLI Hub delivers terminal access to the Hugging Face Hub so you can download or upload repositories, datasets, and spaces; manage cache; run compute jobs; and handle authentication directly from scripts or shells.

Mamba provides selective state-space models with O(n) inference complexity, letting you handle million-token sequences faster than transformers while skipping KV caches and benefiting from a hardware-aware design. Use it for long-context language modeling, streaming applications, and scalable low-memory sequence learners.

Configure OpenEvidence clinical AI integrations with Prometheus metrics, OpenTelemetry tracing, structured logging, and Grafana dashboards so you can monitor health, latency, errors, cache behavior, and alerts.

Guides choosing and implementing Perplexity-validated architectures across scales, from simple widgets to cached layers and automated research pipelines, including deployment trade-offs and error mitigation.

Caches LLM prompts and responses across prefixes, full outputs, and semantic similarity layers to slash inference costs while isolating cache invalidation risks and temperature variance.

RWKV hybrid architecture merges parallel Transformer training with sequential RNN inference to deliver linear-time, infinite-context generation without KV caches, enabling streaming text production and long-document processing on constrained hardware.

High-performance LLM/VLM serving framework that caches radix-tree prefixes to accelerate structured JSON/regex decoding, agentic workflows, and multi-turn tool-enabled conversations.