We’ve had great success using mob programming as part of our interview process. Candidates - usually associate level - have a blast as well.
+1 on custom CSS overwrites. A bigger feature that would add a lot of value might also be a prompt manager with a shareable prompt list.
> It doesn't really offer anything in terms of interacting with RDF triples or making complex graph queries. SPARQL is supported.
Lots of options to explore, but no reinforcement learning yet. Also, some converted Core ML Models ready to use here: developer.apple.com/machine-learning
1. Starting from a declarative language (think XML), you might not be as expressive, but you would still have a lot of value and mitigate a lot of the potential problems. 2. Safety properties that fall back on current…
We’ve had great success using mob programming as part of our interview process. Candidates - usually associate level - have a blast as well.
+1 on custom CSS overwrites. A bigger feature that would add a lot of value might also be a prompt manager with a shareable prompt list.
> It doesn't really offer anything in terms of interacting with RDF triples or making complex graph queries. SPARQL is supported.
Lots of options to explore, but no reinforcement learning yet. Also, some converted Core ML Models ready to use here: developer.apple.com/machine-learning
1. Starting from a declarative language (think XML), you might not be as expressive, but you would still have a lot of value and mitigate a lot of the potential problems. 2. Safety properties that fall back on current…