Imagine the Possibilities of Speaking Fluent Machine

It's difficult to reflect on the past year--or forecast the next--without a sense of wonder regarding the sheer magnitude of innovation taking place across the AI landscape. On a weekly basis, researchers across industry and academia have published work advancing the state-of-the-art in nearly every domain of AI, toppling benchmarking leaderboards and accomplishing feats beyond what we could have imagined even a few years ago. In large part, this progress is due to the rapid advancements we've seen in large AI models. Recent progress in supercomputing techniques and new applications of neural network architectures have allowed us to train massive, centralized models that can accomplish a wide variety of tasks using natural language inputs--from summarizing and generating text with unprecedented levels of sophistication, to even generating complex code for developers. The combination of large language models and coding resulted in two of the most powerful AI developments we witnessed in 2022: the introduction of the OpenAI Codex Model--a large AI model that can translate natural language inputs into more than a dozen programming languages--and the launch of GitHub Copilot, a programming assistant based on Codex.