Recent content by sam_tech

I am trying to improve my approach to AI Analytics & Growth and could use some practical advice. I am particularly interested in learning curve and getting started. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What has worked best...

I think medical and robots is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. If you share the exact setup, it would be easier to narrow down which part matters most.

For Llama Models, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is creative uses. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...