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- What are the key data structures employed in the Infermatic.ai architecture for efficient knowledge retrieval and processing?
- Can you explain the algorithms used in Infermatic.ai for natural language processing and machine learning tasks?
- How does Infermatic.ai utilize graph-based data structures to represent and query complex knowledge graphs?
- What role do hash tables and dictionaries play in Infermatic.ai's architecture for fast lookup and retrieval of information?
- Can you describe the algorithms used in Infermatic.ai for text processing, such as tokenization, stemming, and lemmatization?
- How does Infermatic.ai's architecture utilize graph traversal and search algorithms to find relevant knowledge and relationships?
- What are the primary data structures used in Infermatic.ai for storing and querying large amounts of knowledge and metadata?
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