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Prompt Engineering
To work as a prompt engineer, you must know how to create prompts that generate desirable responses from AI models such as those used by ChatGPT.
Artificial intelligence company, Anthropic, has a role for a “prompt engineer and librarian” with a salary range between $175,000 and $335,000.
What does a prompt engineer do?
A prompt engineer is someone who develops and refines AI models using prompt engineering techniques. This is like teaching a model how to do something by giving step-by-step instructions or “prompts.”
https://en.wikipedia.org/wiki/Prompt_engineeringwork with large language models like GPT-3 (or the new GPT 4), which can generate human-like responses to text prompts. Their work focuses on designing prompts that generate desirable responses from language models, as well as enhancing the models to provide more accurate and relevant text outputs.
Here are some tasks a prompt engineer does:
Prompt Engineering
To work as a prompt engineer, you must know how to create prompts that generate desirable responses from AI models such as those used by ChatGPT.
Artificial intelligence company, Anthropic, has a role for a “prompt engineer and librarian” with a salary range between $175,000 and $335,000.
What does a prompt engineer do?
A prompt engineer is someone who develops and refines AI models using prompt engineering techniques. This is like teaching a model how to do something by giving step-by-step instructions or “prompts.”
https://en.wikipedia.org/wiki/Prompt_engineeringwork with large language models like GPT-3 (or the new GPT 4), which can generate human-like responses to text prompts. Their work focuses on designing prompts that generate desirable responses from language models, as well as enhancing the models to provide more accurate and relevant text outputs.
Here are some tasks a prompt engineer does:
- Optimize language models using established techniques and tools
- Write prose to test AI systems for quirks (identify AI’s errors and hidden capabilities)
- Review and analyze datasets to identify patterns and trends in language and develop new prompts
- Develop and maintain documentation for language models (examples, instructions, best practices, etc)
- Train language models on new data sets, and monitor model performance to identify areas for improvement
- Collaborate with data scientists/software engineers to integrate language models into software applications and systems.