Another thing that improved my personal presentation skills was noting down why I liked a presentation or why I didn’t - what specific things a person did to make it engaging. Just paying attention to that improved my presentation skills enormously

1. Using a "painter commenter" feedback loop to make sure the slides are correctly laid out with no overflowing or overlapping elements.

2. Having the audio/subtitles not read word-for-word the detailed contents that are added to the slides, but instead rewording that content to flow more naturally and be closer to how a human presenter would cover the slide.

A couple of things might possibly be improved in the prompts for the reasoning features, eg. in `answer_question_from_image.yaml`:

  1. Study the poster image along with the "questions" provided.
  2. For each question:
     • Decide if the poster clearly supports one of the four options (A, B, C, or D). If so, pick that answer.
     • Otherwise, if the poster does not have adequate information, use "NA" for the answer.
  3. Provide a brief reference indicating where in the poster you found the answer. If no reference is available (i.e., your answer is "NA"), use "NA" for the reference too.
  4. Format your output strictly as a JSON object with this pattern:
     {
       "Question 1": {
         "answer": "X",
         "reference": "some reference or 'NA'"
       },
       "Question 2": {
         "answer": "X",
         "reference": "some reference or 'NA'"
       },
       ...
     }

In all seriousness, there could be more utility in this if it helped explain the figures. I jumped ahead to one of the figures in the example video, and no real attention was given to it. In my experience, this is really where presentations live and die, in the clear presentation of datapoints, adding sufficient detail that you bring people along.

It also works with research papers.

Here is an explainer of the famous Attention is all you need paper https://www.youtube.com/watch?v=7x_jIK3kqfA

(You can try it here https://magnetron.ai)

example: Geoff Hinton saying "Forward-forward Algorithm" with a long pause after the first "forward".

(first few seconds in the first demo on https://showlab.github.io/Paper2Video/)