Recent content by oscarrobot

A practical understanding of Deep Learning starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is prompt design. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...

One thing worth trying with Understanding General AI Agents: learning curve and productivity is a controlled comparison around general and agents. Use the same input for each test and note what changes in the output rather than judging from a single run. That way you can improve the workflow...

A practical understanding of AI SaaS Development starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is troubleshooting. Define what a good result looks like before changing tools or settings, then test one variable at a time...