Athina AI vs GPT-4

Athina AI is a comprehensive developer platform designed for the entire lifecycle of Large Language Models (LLMs), from prompt engineering to production monitoring and evaluation. The platform offers a powerful set of features that help in detecting issues such as hallucinations, bias, and safety risks, making it an essential tool to ensure the quality and reliability of AI outputs.

With over 40 preset evaluation metrics and the ability to perform custom evaluations, businesses can monitor their models effectively. Athina AI's enterprise-grade platform includes a self-hosted solution, giving complete privacy and control to users. Additionally, it supports a variety of LLMs and provides tools such as a GraphQL API, cost optimizations, and flexible pricing, catering to teams of all sizes.

GPT-4 is the latest milestone in OpenAI’s effort in scaling up deep learning.

GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%. We’ve spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails.

GPT-4 is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style.