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Anthropic has launched a new Prompt Engineering podcast that emphasizes the importance of clearly describing tasks for effective prompting. The podcast highlights that if a human cannot perform the task based on the description, it is unlikely that a language model will be able to do so. This aligns with general best practices in prompt engineering, which include writing detailed and explicit prompts to avoid misinterpretation by the model. Additionally, a new model called 'llama-3.1-405B-learn2prompt' has been introduced, which focuses on the importance of learning how to write prompts effectively rather than relying solely on fine-tuning.
Found this crazy model called “llama-3.1-405B-learn2prompt.” The secret is you just learn how to write prompts rather than hoping some fine-tune will magically fix everything.
Anthropic's new Prompt Engineering podcast describes how most of the focus on effective prompting is around clearly describing the task. If a human cannot perform the task based on the description, you shouldn't expect the LLM to do it. 🎯 In addition to clearly describing a… https://t.co/JIWtL8V9Hm
Doing a bunch of prompt engineering this week, I’ve rediscovered this gem: https://t.co/eiZ0s7kNJD Here’s the gist: 1. Write clear instructions: Write detailed and explicit prompts to avoid misinterpretation by the model. 2. Include details: Provide specific context or…
