AI can at all times write for you, nevertheless it’s not at all times proper.
That’s why JPMorgan needs to double-check its LLM’s homework. The corporate is searching for to patent “a way and a system for acquiring an analysis of a high quality of software program code” generated by an LLM.
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First, a consumer offers directions for a process, together with the output they’re searching for. The system sends that data, together with a listing of obtainable APIs, to the LLM. It asks the LLM to decide on only one API and write the code utilizing it.
Subsequent, the LLM replies with the API it selected, in addition to the code it wrote based mostly on the directions. Then, the system runs that code to see if the duty is correctly run, with the anticipated outcome.
On the finish of the method, the system checks the code’s high quality: its accuracy, its reliability and robustness, and its consistency.
JPMorgan has sought patents to make sure accuracy earlier than. Final 12 months, the biggest US financial institution appeared into how machine studying and blockchain can fact-check. And accuracy has at all times been a difficulty tech firms are eyeing: Microsoft can also be frightened about AI code technology points and desires to focus on AI bias, and IBM is attempting to make use of AI to repair points with AI.
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