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Map / Engineering

Engineering 162

What teams build with: training, evals, agent frameworks, protocols and memory. 6 stops, 162 tools, from MLOps & Training to AI Data & Human Feedback.

MLOps & Training 47
5 sub-lines: Experiment Tracking & CI/CD, Fine-tuning & RLHF, Pipeline Orchestration, Model Registry & Feature Store, ML Frameworks
Show all 47
Observability & Evals 28
5 sub-lines: LLM Observability, Model Monitoring, LLM Evaluation & Benchmarking, Explainability & Alignment, Prompt Management
Show all 28
Agent Frameworks 37
3 sub-lines: Orchestration SDKs, Multi-Agent Frameworks, LLM Application Frameworks
Show all 37
AI Protocols 19
3 sub-lines: MCP Servers & Registries, Agent Communication Protocols, Agentic Payments
Show all 19
RAG & Memory 22
4 sub-lines: LLM Frameworks & RAG, Retrieval & Reranking, Document Parsing, Memory Layer
Show all 22
AI Data & Human Feedback 9
4 sub-lines: Data Labeling & Annotation, Human Feedback & Preference Data, Data Quality & Curation, Dataset Management
Show all 9

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1Hugging Face Transformers1 use this+1 this week

Marks on Engineering, last 8 weeks

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Next stop Coding 162 tools

5 stops on Coding.