Skill UI

Azure AI Content Understanding SDK for Python orchestrates multimodal extraction from documents, images, audio, and video to feed RAG pipelines or automate structured workflows.

Azure AI Content Understanding SDK for Python orchestrates multimodal extraction from documents, images, audio, and video to feed RAG pipelines or automate structured workflows.

Client library for Azure AI Language that enables sentiment scoring, entity/PII recognition, key phrase extraction, language detection, healthcare NLP, and opinion mining in Python applications.

Client library for Azure AI Language that enables sentiment scoring, entity/PII recognition, key phrase extraction, language detection, healthcare NLP, and opinion mining in Python applications.

Instructor turns LLM responses into validated structured data with Pydantic schemas, automatic retries on failed extractions, complex JSON parsing, and streaming partial results across OpenAI and Anthropic.

Defines a Perplexity reference architecture for AI research and search projects, covering model routing, citation extraction, conversational search, and multi-query pipelines to establish consistent integrations and reviews.

Teaches how to steer OpenAI, Anthropic, Google, and local LLMs into emitting validated JSON/enums by defining strict schemas, prompting for data extraction, handling validation failures, and building retry/logging pipelines.

Soft Predict Future is a structured foresight engine that triggers whenever the user asks about future outcomes or scenarios. It enforces a nine-step analytical pipeline (validation, signal collection, scoring, driver extraction, etc.), highlights required searches and inputs, and directs the user to web-enabled reasoning for predictive analysis.

Extract structured, quality-scored domain knowledge from live AI sessions or local open-source models via Ollama, producing searchable reference datasets and traditional ML-ready outputs without needing extra API keys.