Results for “hume-ai”

Holistic evaluation framework for language models measuring accuracy, calibration, robustness, and fairness

Configure Azure API Management as an AI Gateway to govern AI models, MCP tools, and agents with policies for caching, rate limiting, content safety, and cost control.

Integrate Azure OpenAI and OpenAI services in .NET applications for chat completions, embeddings, image generation, audio transcription, and assistants.

Deploy, inspect, log-tail, snapshot, and troubleshoot AEM Rapid Development Environments using the Adobe I/O CLI plugin.

Configure Gemini and Codex CLI tools with Cloudflare AI Gateway endpoints and MCP servers.

Configure, extend, or contribute to Hermes Agent, an open-source AI agent framework by Nous Research.

Creates Helm charts with values files, templates, and dependency management for Kubernetes deployments

Knowledge pack for AIt — a personal AI platform with monorepo architecture, RAG pipeline, OAuth connectors, and BullMQ scheduling.

Template do pack (ai-ml/03-rag-pipeline.md). Orienta o agente em integracao de IA/ML, LLM e pipelines de dados alinhado a esse contexto.

Use when designing AI product trust, privacy, or honesty UX — cloud disclosure, voice/mic consent, transcript retention, memory ownership, AI labeling, caveats, or audit footprints. Trigger on disclose cloud, recording consent, watermark, incognito, or data-ownership settings.

Operates AI infrastructure as a production dependency: manages GPU utilization, MCP servers, LLM gateways, inference pipelines, token costs, semantic caching, and model observability.