Articles filed in category 'Large Language Models'

  • Natural Language AI-Powered Smart UI

    By: Edward Charbeneau

    Last updated: Thursday, July 3, 2025

    Published in: CODE Magazine: 2025 Jul/Aug

    Edward Charbeneau delves into the practical integration of AI-powered Smart UI components by leveraging large language models (LLMs), particularly moving beyond the prevalent Generative AI chat demos that often overshadow such applications. He illustrates the gradual enhancement of user interfaces (UIs) through LLMs with real-world examples like Smart AI Search and Smart Text, which improve user interactions by adding contextual and relational features to existing functionalities. Utilizing LLMs, Charbeneau demonstrates transforming user queries into actionable commands for UIs, employing natural language processing to bridge the gap between human language and software interfaces, thereby enhancing user experience while maintaining familiar UI elements.

  • Exploring LangChain: A Practical Approach to Language Models and Retrieval-Augmented Generation (RAG)

    By: Wei-Meng Lee

    Last updated: Thursday, December 19, 2024

    Published in: CODE Magazine: 2025 - Jan/Feb

    Wei-Meng Lee provides an in-depth guide to using the LangChain framework for building applications incorporating large language models (LLMs). He emphasizes LangChain's modular design, enabling developers to create complex workflows with customizable components and integrate external data sources, facilitating Retrieval-Augmented Generation. Key topics covered include constructing chains, maintaining conversational context with memory management, and leveraging Microsoft and Hugging Face's models for enhanced flexibility and privacy. Wei-Meng also demonstrates implementing RAG for document-based querying, offering a comprehensive overview of LangChain's capabilities for developing dynamic, data-driven solutions.