# Language models

Aphrodite is the official backend engine of PygmalionAI, aimed at providing inference endpoints for the PygmalionAI website, enabling fast model serving for a large number of users. It utilizes vLLM's paginated attention technology, achieving features such as continuous batching, efficient key-value management, and optimized CUDA kernels, while supporting various quantization schemes to boost inference performance.

The SaltAI Language Toolkit is a project that integrates the retrieval-augmented generation (RAG) tool Llama-Index, Microsoft's AutoGen, and LlaVA-Next. It enhances the functionality and user experience of the platform through the adaptable node interface of ComfyUI. The proxy function was added on May 9th, 2024.

LLM Oracle is a concept validation tool that leverages Large Language Models (LLMs) to provide future predictions. It employs the powerful GPT-4 model to deliver accurate prediction results. Users can obtain future prediction information and customize parameters within the settings. LLM Oracle's primary functions include obtaining predictions, optimizing results, and pricing. Whether for personal entertainment, business decision-making, or academic research, LLM Oracle offers users valuable future predictions.

GATE is a learning framework that uses language models to guide task specification and the inference of expected behaviors through free-form, language-based interactions with users. It has been researched in three areas: email verification, content recommendation, and moral reasoning. In a pre-registered experiment, we found that prompting language models executed by GATE with open-ended questions or synthetically generated rich boundary cases often yielded more informative results than user-written prompts or labels. Users reported that interactive task guidance required less effort compared to prompt or example labeling, and provided novel considerations not initially anticipated by the user. Our findings suggest that language model-based guidance can be a powerful tool for aligning models with complex human preferences and values.

Backengine is a no-code AI backend API platform that helps you quickly build and deploy complex application logic. Powered by large language models, it allows you to create APIs without writing any code or setting up infrastructure. You can describe API response examples and define API endpoint logic using natural language. Test your API endpoints in a testing environment and fine-tune prompts and request structures. Deploy your API endpoints with a single click and integrate them into your applications. Backengine's features include quick building and deployment of application logic, a zero-code workspace, access to large language models without individual accounts, zero infrastructure requirements, robust security, and team collaboration.