Mastering Gemini: Innovative Strategies for Hebrew Language Model Optimization
This post explores techniques for "prompt engineering" to improve the behavior of language models. The author highlights the use of "Act As" prompts to make the model embody a specific character. They discuss various sources for finding prompts, including asking similar bots, utilizing other language models, and searching prompt repositories. For complex tasks, the author recommends "super prompts" – long, detailed prompts to guide the model. Finally, they address the issue of models sometimes providing irrelevant initial examples, suggesting that ignoring these and starting with your own message helps establish the desired conversational context. The author welcomes further discussion and insights on prompt engineering for Hebrew language models.