{"schema_version":"onlylabs.public_signal.v1","title":"Microsoft Repo: microsoft/uwisc-workshop-2026","description":"Microsoft repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/41b6925a-6cb4-4686-94d1-a6e5e8d484c1","json_url":"https://onlylabs.fyi/signals/41b6925a-6cb4-4686-94d1-a6e5e8d484c1/signal.json","generated_at":"2026-06-11T02:42:09.458548+00:00","org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/microsoft","dossier_json_url":"https://onlylabs.fyi/labs/microsoft/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/41b6925a-6cb4-4686-94d1-a6e5e8d484c1","signal_json":"https://onlylabs.fyi/signals/41b6925a-6cb4-4686-94d1-a6e5e8d484c1/signal.json","source":"https://github.com/microsoft/uwisc-workshop-2026","lab_dossier":"https://onlylabs.fyi/labs/microsoft","lab_dossier_json":"https://onlylabs.fyi/labs/microsoft/dossier.json","analysis":"https://onlylabs.fyi/analysis/microsoft","analysis_json":"https://onlylabs.fyi/analysis/microsoft/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/microsoft/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Microsoft published microsoft/uwisc-workshop-2026 (Python). 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This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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What you'll build 1. **Chapter 1 — Simple agent + skill** ([`chapters/chapter1-simple-agent/`](chapters/chapter1-simple-agent/)): use a general-purpose LLM with a prompt-based skill to draft structured radiology reports. 2. **Chapter 2 — Domain MCP server** ([`chapters/chapter2-zero-shot/`](chapters/chapter2-zero-shot/)): wrap [Microsoft **MedImageInsight**](https://learn.microsoft.com/en-us/azure/foundry-classic/how-to/healthcare-ai/deploy-medimageinsight) zero-shot classification in a custom **MCP server** the agent can call. 3. **Chapter 3 — Adapter training** ([`chapters/chapter3-adapter/`](chapters/chapter3-adapter/)): train a small **adapter** on top of frozen..."},"evidence_pages":[{"url":"https://github.com/microsoft/uwisc-workshop-2026","final_url":"https://github.com/microsoft/uwisc-workshop-2026","title":"microsoft/uwisc-workshop-2026 repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T02:42:09.458548+00:00","bytes":11012,"raw_path":"9c12eefd2adcb2f410b103308a2094660a66dd11af21471308353c2f4e5e5cc4.json","content_hash":"16d4709cb30c88a050e3facbdc853b24f157314195d339813ffeaa92eddda1a2","excerpt_chars":1200,"truncated":true,"excerpt":"microsoft/uwisc-workshop-2026 Language: Python License: MIT Stars: 4 Forks: 5 Open issues: 3 Created: 2026-05-14T07:41:08Z Pushed: 2026-06-04T17:53:16Z Default branch: main Fork: no Archived: no README: UW–Madison 2026 Workshop: Building Radiology Agents with State of the Art Foundation Models This repository supports a hands-on workshop on building **radiology AI agents** in VS Code with GitHub Copilot. 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