#GPT models

The platform provides effective solutions for AI model fine-tuning and deployment, supporting integration with OpenAI's SDKs in Python and TypeScript. It enables fine-tuning of GPT 3.5, Mistral, and Llama models with an OpenAI-compatible endpoint for chat completions. Users have capabilities for querying past requests, model evaluation, and switching between OpenAI and custom-tuned models. It offers comprehensive logging, filtering, and dataset import functionalities, designed to optimize performance. Although open-source development is on hold, future enhancements aim to adopt an open core model.

This unofficial Java library provides extensive features for integrating OpenAI's GPT models, including chat, edits, embeddings, and more, into applications with ease. It includes a simple client setup via Retrofit, comprehensive documentation, and customizable API interactions. The library supports both synchronous and asynchronous API calls, offering versatility and efficiency across different development needs.

The Bob plugin utilizes the OpenAI GPT API to deliver powerful translation, text enhancement, and grammar correction functions. Offering an effective alternative to Grammarly, it supports multiple languages and is easily set up on macOS. Users can select models such as 'gpt-3.5-turbo-0301' or 'gpt-3.5-turbo' for optimal results. A comprehensive configuration ensures smooth integration, making it dependable for advanced text processing, including modification analysis for clarified comprehension.

AutoGPT is an Xcode extension that enhances coding efficiency by automating tasks using GPT models like Davinci, Curie, Babbage, and Ada. It also integrates ChatGPT with GPT-3.5 and GPT-4 for a seamless workflow. Compatible with Xcode 13.0+, it requires an OpenAI API Key and features functionalities such as code explanation and insertion. Explore its diverse commands through a live demo and download the latest release to improve programming.

Integrating seamlessly into Neovim, this AI plugin provides ChatGPT-like sessions, text and code operations, speech-to-text conversion, and image generation. It supports multiple providers, including OpenAI and GitHub Copilot, ensuring flexible usage with minimal dependencies. The plugin enhances the Neovim experience by offering GPT model integration, streaming responses, and customizable configurations without hindering performance. Users can customize AI interactions for each repository, automate tasks, and achieve faster text output through voice commands.

The pycorrector toolkit is a Python-based solution for correcting Chinese text errors using models like Kenlm, ConvSeq2Seq, BERT, MacBERT, ELECTRA, ERNIE, and GPT. It effectively manages errors such as homophones, similar-looking characters, grammatical mistakes, and proper nouns. Recent updates have incorporated Qwen2.5-based models to handle complex corrections, providing versatile solutions applicable to various industries needing precise language handling. The toolkit features fast processing, parallel training, and high error correction accuracy, all of which can be accessed conveniently through its PyPI package.

SpeakGPT is an open-source AI assistant that employs large language models to deliver efficient performance. It supports numerous models, including GPT, DALL-E, and Gemini Vision. This project, part of a Bachelor Thesis, features voice input, image generation, and supports various API platforms like OpenAI. SpeakGPT prioritizes security with locally stored API keys and offers customizable model parameters along with an adaptive UI. Experience its functionalities including dark mode and beginner's resources.