3:28 how the temperature in high value could lead greedy results, while it is normalizing the selection chance and lead to get more random creative results than greedy (highest possible one)
as far as i know, temperature 0 makes the model to be more deterministic and repeatative. In many documents i have read that temp 1 leads to creative answer. can you provide links that supports you theory?
Why make a video about this topic and yet not exemplify your points by demonstrating them on an actual LLM in real time? (It's just babble if it doesn't contain proof).
Thanks for info
Need to test.
3:28 how the temperature in high value could lead greedy results, while it is normalizing the selection chance and lead to get more random creative results than greedy (highest possible one)
as far as i know, temperature 0 makes the model to be more deterministic and repeatative. In many documents i have read that temp 1 leads to creative answer. can you provide links that supports you theory?
After tuning much enough, you realize the only thing that had been hallucinating all the time was yourself
🤣🤣🤣🤣
😂
You are the best
Why make a video about this topic and yet not exemplify your points by demonstrating them on an actual LLM in real time? (It's just babble if it doesn't contain proof).
Please voiceover into English