AlexaTM 20B vs GPT-4

Discover cutting-edge advancements in AI with AlexaTM 20B, a powerful multilingual sequence-to-sequence model presented by Amazon Science. This groundbreaking model leverages a vast 20 billion parameters to revolutionize few-shot learning capabilities. By pre-training on a diverse blend of tasks, including denoising and Causal Language Modeling (CLM), AlexaTM 20B outperforms decoder-only models in efficiency and effectiveness across various tasks. Dive into the world of AI as AlexaTM 20B sets a new standard for sequence-to-sequence models in multiple languages, streamlining the path towards more natural and intuitive machine learning applications.

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.