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英文字典中文字典相關資料:
  • LLM APIs: Tips for bridging the gap - IBM
    LLM APIs open up possibilities for enterprises to realize the full potential of their applications through AI Here are five techniques to help businesses use LLM APIs more efficiently: 1 Consider your use case
  • Praveen76 LLMs-API-Usage-Best-Practices - GitHub
    As the usage of LLMs via APIs becomes increasingly common, it's essential to follow best practices to ensure smooth integration, optimal performance, and compliance with API provider guidelines This repository provides a set of best practices and examples for utilizing LLM APIs effectively
  • Integrating LLM into Your App: A Beginner’s Guide
    In this article, we’ll walk through a simple, real-life implementation that shows you how to integrate an LLM into a web application—perfect for beginners What Is a Large Language Model (LLM)? An LLM is an AI system trained on vast amounts of text data to understand and generate human-like language
  • How to integrate a Large Language Models (LLMs) with APIs
    Here’s a step-by-step guide to creating a Custom API Chain using LangChain’s APIChain from_llm_and_api_docs method This method allows you to define API chains for different endpoints based on their Swagger or OpenAPI documentation If you haven't already, you'll need to install LangChain You can do this using pip:
  • LLM APIs: Use Cases,Tools, Best Practices for 2025
    LLM APIs enable businesses to scale AI-driven solutions for content creation, customer service, and more, without building models from scratch Effective management of LLM APIs requires attention to data privacy, security, and ongoing performance monitoring
  • Building with LLMs: A Practical Guide to API Integration
    Chat completions API allows you to quickly embed text generation capabilities into your app, chatbot, or other conversational interface Generating prose using Python with the chat completions endpoint Source: OpenAI Platform
  • Top 5 LLM API Integration Strategies and Best Practices for Enterprise . . .
    From modular integration to continuous monitoring and optimization, these strategies are designed to ensure smooth implementation, optimal performance, and long-term success
  • Large Language Model (LLM) API: Full Guide 2025 - Springs
    Here are the key principles underlying their operation: Training and Learning Large language models undergo extensive training on vast text corpora, employing advanced data science techniques to grasp linguistic patterns and structures
  • Serving an LLM application as an API endpoint using FastAPI . . . - DataCamp
    LLMs have the capability to perform various language-related tasks, including language translation, text completion, summarization, and even engaging in conversational interactions GPT is an example of LLM





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