PromptOps
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Track 17
17. Architecture & NLU Patterns
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1
Microservice Prompt Design
Design modular prompts that function as independent microservices.
Expert
2
Event-Driven Prompt Systems
Trigger prompt executions based on system events and webhooks.
Expert
3
Serverless Prompt Functions
Deploy prompts as serverless functions for scalable execution.
Expert
4
Message Queue Integration
Process prompts asynchronously through message queue architectures.
Expert
5
API Gateway Prompt Routing
Route incoming API requests to appropriate prompt handlers.
Expert
6
Webhook-Triggered Prompts
Execute prompts automatically when external events occur.
Expert
7
Batch Processing Pipelines
Process large volumes of prompts in scheduled batch jobs.
Expert
8
Real-Time Processing Prompts
Handle streaming data with low-latency prompt execution.
Expert
9
Edge Computing Prompts
Deploy prompt processing at edge locations for reduced latency.
Expert
10
Hybrid Cloud Prompt Deployment
Manage prompts across cloud and on-premises environments.
Expert
11
Multi-Region Prompt Failover
Ensure prompt availability across geographic regions.
Expert
12
Service Mesh Prompt Communication
Manage inter-prompt communication through service mesh patterns.
Expert
13
Circuit Breaker Patterns
Prevent cascade failures in prompt processing systems.
Expert
14
Bulkhead Isolation Patterns
Isolate prompt workloads to prevent interference.
Expert
15
Saga Pattern for Prompts
Manage distributed transactions across prompt chains.
Expert
16
CQRS for Prompt Systems
Separate command and query responsibilities in prompt architectures.
Expert
17
Event Sourcing for Prompts
Track all prompt state changes through event logs.
Expert
18
Domain-Driven Prompt Design
Align prompt boundaries with business domain models.
Expert
19
Hexagonal Prompt Architecture
Design prompts with clean separation of concerns.
Expert
20
Clean Architecture for Prompts
Apply SOLID principles to prompt system design.
Expert
21
Semantic Parsing Prompts
Convert natural language into structured semantic representations.
Expert
22
Coreference Resolution
Identify and resolve pronoun references in text.
Expert
23
Discourse Analysis Prompts
Analyze text structure and rhetorical relationships.
Expert
24
Pragmatic Interpretation
Understand implied meanings beyond literal text content.
Expert
25
Speech Act Classification
Classify utterances by their communicative function.
Expert
26
Argument Mining Prompts
Extract arguments, claims, and evidence from text.
Expert
27
Stance Detection
Determine the author's position on specific topics.
Expert
28
Irony & Sarcasm Detection
Identify non-literal language use in text.
Expert
29
Emotion Recognition Prompts
Classify fine-grained emotions in text beyond sentiment.
Expert
30
Relationship Extraction
Identify and classify relationships between entities in text.
Expert
31
Event Detection & Extraction
Identify events, participants, and temporal aspects in text.
Expert
32
Topic Modeling Prompts
Discover latent topic structures in document collections.
Expert
33
Text Coherence Analysis
Evaluate and improve logical flow and coherence in text.
Expert
34
Readability Assessment
Analyze and adjust text complexity for target audiences.
Expert
35
Style Transfer Prompts
Rewrite text in different styles while preserving meaning.
Expert
36
Paraphrase Generation
Generate semantically equivalent alternative phrasings.
Expert
37
Text Simplification
Rewrite complex text in simpler, more accessible language.
Expert
38
Information Extraction Pipelines
Extract structured data from unstructured documents.
Expert
39
Named Entity Disambiguation
Resolve entity mentions to unique real-world referents.
Expert
40
Semantic Similarity Scoring
Compute meaning similarity between text pairs.
Expert
17. Architecture & NLU Patterns