Open Issues Need Help
View All on GitHubAI Summary: This issue requests the creation of a new Markdown file for a '100 Projects' catalog and a corresponding JSON index file. The JSON file should define fields like title, difficulty, estimated time, tags, and a link, and needs to be seeded with at least 20 initial project entries.
The best resource on the web to become an AI architect who builds AI Centers of Excellence
AI Summary: This issue proposes two enhancements for the README: embedding the `start-here.svg` diagram into relevant sections and adding small emoji banners to the Patterns, Projects, and Awesome sections. These changes aim to improve the document's scannability and visual appeal.
The best resource on the web to become an AI architect who builds AI Centers of Excellence
AI Summary: This issue requests the creation of a new markdown file, `10-resources/case-studies.md`, to host a Case Studies page. It should feature 5 public examples (posts/demos), each accompanied by a brief 2-3 sentence takeaway summary.
The best resource on the web to become an AI architect who builds AI Centers of Excellence
AI Summary: This issue requests an update to the `awesome-rag.md` documentation file. The task involves curating and adding ten high-quality links to RAG-related resources, specifically focusing on retrievers, rerankers, chunkers, and evaluation tools. Each link should include a concise one-liner description and maintain the existing table format.
The best resource on the web to become an AI architect who builds AI Centers of Excellence
AI Summary: This issue involves populating the `governance-compliance.md` design pattern document with comprehensive, end-to-end content. Key topics to cover include privacy/GDPR, model risk, audit logs, data retention, and approval flows. The content should also incorporate a checklist and a Bill of Materials (BoM).
The best resource on the web to become an AI architect who builds AI Centers of Excellence
AI Summary: This issue calls for the creation of a comprehensive architecture and tuning guide focused on performance optimization. The guide will detail strategies for managing latency budgets, implementing caching for embeddings and retrieval, optimizing with batching, evaluating model choice tradeoffs, tuning vector indexes like IVFFlat, and establishing cost controls.
The best resource on the web to become an AI architect who builds AI Centers of Excellence
AI Summary: This issue requests an update to the `awesome-llms.md` document, which is part of an 'Awesome LLMs' list. The task involves adding 10 new high-signal repository links, specifically focusing on tools for serving, fine-tuning, or evaluating Large Language Models. Each new entry must adhere to the existing table format and include a concise 1-2 line contextual description.
The best resource on the web to become an AI architect who builds AI Centers of Excellence
AI Summary: This GitHub issue requests an expansion of the `orchestration-workflow.md` design pattern document. The expansion should include new sections detailing business value, technical architecture (covering engine, AI tasks, human approvals, retries/compensation), discovery questions, bill of materials, and risks/controls. Additionally, it requires adding links to reference open-source projects like Temporal and Prefect.
The best resource on the web to become an AI architect who builds AI Centers of Excellence