#大语言模型#The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
#大语言模型#Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.
MLX Omni Server is a local inference server powered by Apple's MLX framework, specifically designed for Apple Silicon (M-series) chips. It implements OpenAI-compatible API endpoints, enabling seamless...
Simplifies the retrieval, extraction, and training of structured data from various unstructured sources.
#大语言模型#OpenAPI definitions, converters and LLM function calling schema composer.
🚬 cigs are chainable Ai functions for typescript. Call functions with natural language and get a response back in a specified structure. Uses OpenAI's latest Structured Outputs.
#计算机科学#[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction
#大语言模型#Making LLM Tool-Calling Simpler.
#大语言模型#(Discontinued) Non-Pydantic, Non-JSON Schema, efficient AutoPrompting and Structured Output Library
#大语言模型# This repository demonstrates how to leverage OpenAI's GPT-4 models with JSON Strict Mode to extract structured data from web pages. It combines web scraping capabilities from Firecrawl with OpenAI's ...
#大语言模型#Learn how to build effective LLM-based applications with Semantic Kernel in C#
#大语言模型#Python decorator to define GPT-powered functions on top of OpenAI's structured output
#自然语言处理#[ACL 2025] Repository for our paper "DRS: Deep Question Reformulation With Structured Output".
This is the Python backend for InsightAI
Structured Output OpenAI Showcase. A Prime Numbers Calculator that demonstrates OpenAI's structured output capabilities. This repository is public because current LLM examples often use outdated API c...
Open Source Deep Research
A sample application to demonstrate how to use Structured Outputs in OpenAI Chat Completions API with streaming, built using Next.js.
Develop an intuition about Large Language Models (LLMs)