Codex is a large-scale language model (LLM) trained on a diverse codebase that exceeds previous state-of-the-art in its ability to synthesize and generate code. Although Codex offers many benefits, any…
We show that an autoregressive language model can learn text embeddings after applying a simple transformation to the dataset. This simply moves a range of text from the middle of…
Other existing approaches often use smaller, more tightly paired speech and text training datasets. Or use extensive but unsupervised voice pre-training. Because Whisper was trained on a large and diverse…
Reinforcement learning from human feedback typically optimizes against a reward model that has been trained to predict human preferences. Since the reward model is an imperfect proxy, overoptimizing its value…