imalikshake

5 ms·

1. 1.▲
   by imalikshake 1y ago

   not a surprise
2. 2.▲
   Show HN: An open-source code scanner to find issues in prompts and LLM calls(github.com)

   5 points by imalikshake 1y ago|0 comments
3. 3.▲
   What's After Evals? Code Quality in LLM Applications: Beyond Model Performance(kereva.io)

   7 points by imalikshake 1y ago|0 comments
4. 4.▲
   Code Quality in LLM Applications: Beyond Model Performance(kereva.io)

   5 points by imalikshake 1y ago|0 comments
5. 5.▲
   Scanning the OpenAI Cookbook with open-source security tools(kereva.io)

   25 points by imalikshake 1y ago|0 comments
6. 6.▲
   by imalikshake 9y ago

   I've added the randomised tracks to the blog :)
7. 7.▲
   by imalikshake 9y ago

   Wow, thanks so much for the feedback! It really helps to hear such detailed feedback from a musician. Learning timing imperfections with my current setup shouldn't be too difficult to implement. Considering that it can predict velocity
8. 8.▲
   by imalikshake 9y ago

   That's a really good idea! I've produced mp3s with randomised velocities for the Chopin track and also the Yiruma track. I'll be adding them to the blog post. Thanks! Chopin: http://imanmalik.com/assets/a
9. 9.▲
   by imalikshake 9y ago

   Just (losslessly) converted the wavs into mp3s. Hope it loads faster now.
10. 10.▲
    by imalikshake 9y ago

    OP here Thanks for the comment! The respondents weren't musicians. The respondents were selected randomly as I just wanted to see if StyleNet could fool the average person. However, I will definitely be performing surveys on musicians