Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
The world's largest automaker has had a somewhat difficult relationship with battery-electric vehicles. Toyota was an early pioneer of hybrid powertrains, and it remains a fan today, often saying that given limited battery supply, it makes sense to build more hybrids than fewer EVs. Its first full BEV had a rocky start, suffering a recall due to improperly attached wheels just as the cars were hitting showrooms. Reviews for the awkwardly named bZ4x were mixed; the car did little to stand out among the competition.
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Discard old data: evict what's already buffered to make room，详情可参考safew官方版本下载
These changes, along with some additional tweaking of bubbletea’s code, reduced time spent in the gc to ~0.5%.，更多细节参见WPS官方版本下载
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