Merge pull request anthropics#12 from eltociear/patch-1

Update building_evals.ipynb

misc/building_evals.ipynb

@@ -374,7 +374,7 @@
  "Now you know about different grading design patterns for evals, and are ready to start building your own. As you do, here are a few guiding pieces of wisdom to get you started.\n",
  "- Make your evals specific to your task whenever possible, and try to have the distribution in your eval represent ~ the real life distribution of questions and question difficulties.\n",
  "- The only way to know if a model-based grader can do a good job grading your task is to try. Try it out and read some samples to see if your task is a good candidate.\n",
- "- Often all that lies between you and an automatable eval is clever design. Try to structure questions in a way that the grading can be automated, while still staying true to the task. Reformatting questions into multipe choice is a common tactic here.\n",
+ "- Often all that lies between you and an automatable eval is clever design. Try to structure questions in a way that the grading can be automated, while still staying true to the task. Reformatting questions into multiple choice is a common tactic here.\n",
  "- In general, your preference should be for higher volume and lower quality of questions over very low volume with high quality."
  ]
  }