Beyond Words: How NLP Turns Flat Text into Context
Aaron Wise
NLP adds context to flat text through statistical and neural models, enabling machines to act on meaning rather than symbols.
Tag
natural language processing
Prompt and Circumstance: The Art and Science of Teaching Large Language Models
Aaron Wise
Few-shot prompting lets teams guide AI with examples, not retraining, by shaping clear tasks and patterns in real time.
From Keywords to Concepts: Unlocking the Power of Semantic Search Over Lexical Search
Aaron Wise
Semantic search outperforms lexical search by understanding meaning, intent, and context rather than just matching keywords.
Grammers & Stemmers: Cutting Through the Textual Tangle in Data Science
Aaron Wise
N-grams capture word sequences for context, while stemmers reduce words to their base form for normalization in text analysis.
Noam Chomsky: The Linguistic Architect Behind Modern Language and AI—And Why His Ideas Still Speak Volumes
Aaron Wise
Chomsky’s theory of universal grammar underpins modern NLP and challenges data-driven AI to prioritize interpretability and cognitive realism.
AI Agents Today: Navigating the Future with Smarter, Multi-Agent Innovation
Aaron Wise
Multi-agent systems enable scalable, resilient AI solutions by distributing tasks across autonomous, cooperating agents.