Abstract: We present Popper, a dataflow system for building Machine Learning (ML) workflows. A novel aspect of Popper is its built-in support for inflight error ...
Currently, agent responses across different features (streaming, integrations, transports) do not appear to follow a strictly standardized response schema. This can make frontend integration, ...
Georgia election officials admitted they certified ballots in the 2020 presidential election with tabulator tapes — akin to receipts — that weren’t signed by poll workers in violation of Georgia state ...
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App Error is built around the principle that effective error handling requires more than just error messages. Modern applications need structured errors that carry context, support tracing, provide ...
Abstract: Addressing data errors such as wrong, missing, noisy, biased, or out-of-distribution values has become a crucial part of the machine learning (ML) development lifecycle. Un-fortunately, ...
There are few areas where AI has seen more robust deployment than the field of software development. From “vibe” coding to GitHub Copilot to startups building quick-and-dirty applications with support ...
AI models from OpenAI, Anthropic, and other top AI labs are increasingly being used to assist with programming tasks. Google CEO Sundar Pichai said in October that 25% of new code at the company is ...
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