Part 2/5:

Since the initial release, Anthropic has continued to iterate on these models, with the latest versions being Haiku 3.5, Sonnet 3.5, and the upcoming Opus 3.5. The goal has been to shift the trade-off curve, where each new generation of models is more capable than the previous one, while maintaining similar cost and speed characteristics.

The process of developing these models is complex and involves several stages. First, there is the pre-training phase, which involves training the language model on a vast amount of data, often using thousands of GPUs or other accelerator chips over the course of months. This is followed by a post-training phase, where the model is further refined through reinforcement learning from human feedback and other techniques.

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