#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.
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...
A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.
#自然语言处理#React Native Apple LLM plugin using Foundation Models
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#Code from an Agentic Graph RAG workshop, combines vector, FTS and graph retrieval. Includes observability and guardrails for evaluating outputs.
Better LLMs Structured Outputs - A useful python package!
#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
CLI for generating structured JSON from diverse text inputs using OpenAI models. Leverages dynamic templates (powered by Jinja2), schema validation, integrated tools (Code Interpreter, File Search, MC...
#大语言模型#Python decorator to define GPT-powered functions on top of OpenAI's structured output