DeciCoder vs GPT-4

Experience the future of code completion with DeciCoder-1b, a powerful AI model from Deci, brought to you by Hugging Face. Designed to assist developers in writing Python, Java, and JavaScript code, DeciCoder-1b has been meticulously trained on the Starcoder Training Dataset and leverages advanced techniques such as Grouped Query Attention and Fill-in-the-Middle training objectives. This model offers an expansive context window of 2048 tokens and excels in auto-regressive language tasks. By utilizing Deci's proprietary AutoNAC technology, it achieves optimal performance and efficiency. Licensed under Apache 2.0, it assures openness and encourages collaboration. Dive into the detailed model card for in-depth insights and learn how to use DeciCoder-1b with the help of provided code snippets. Join the AI revolution.

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.