x-algo-ml
CommunityDemystify Phoenix ML for X recommendations.
AuthorCloudAI-X
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Phoenix ML architecture explanations help engineers and product teams understand how the X recommendation system predicts engagement, bridging gaps between model theory and product analytics.
Core Features & Use Cases
- Two-Stage Pipeline: Retrieve candidates with a Two-Tower model and rank them with a Transformer-based scorer.
- Embeddings & Hashes: Explain hash-based embeddings and how they map IDs to dense vectors for scalable scoring.
- Attention & Isolation: Describe candidate isolation in the transformer to ensure stable scoring across batches.
- Practical Scenarios: Use cases include onboarding new contributors, auditing model behavior, and explaining predictions to non-technical stakeholders.
Quick Start
Ask the AI to summarize how Phoenix uses a Two-Tower retrieval stage and a Transformer ranking stage to score posts.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: x-algo-ml Download link: https://github.com/CloudAI-X/x-algo-skills/archive/main.zip#x-algo-ml Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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