StableLM vs GPT-4

StableLM is a suite of language models offered by Stability AI, designed to enhance the capabilities and effectiveness of artificial intelligence in understanding and generating human-like text. These language models, accessible on GitHub, provide developers with the tools to integrate advanced AI-powered language processing into their applications. With models trained on a vast amount of data, users can expect robust performance in various NLP tasks. Join the StableLM community by contributing to its ongoing development, ensure to create an account on GitHub to start collaborating with experts and enthusiasts in the AI field.

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.