issue_refund
PulseAugur coverage of issue_refund — every cluster mentioning issue_refund across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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AI agents need sophisticated error handling beyond simple retries
Building a robust AI agent requires more than just a simple retry mechanism for failures. The agent must be able to distinguish between different types of errors, such as transient network issues, validation problems wi…
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AI agent development: Build evaluation sets first, then the agent
This article details a method for building and evaluating AI agents, emphasizing the importance of creating an evaluation set before the agent itself is developed. The author argues that developing the evaluation set fi…
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AI agent development: Defining use cases and tool contracts
This article details the second part of building a custom AI support agent, focusing on defining its use case and structuring tool contracts. It emphasizes the importance of clearly defining the agent's capabilities, li…
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Smaller Llama3.2 1B model fails critical tool calls in agent tests
A developer tested the impact of switching to a significantly smaller language model, Llama3.2 1B, for a customer support agent, compared to the original Llama3.2 3B model. While the smaller model's responses often appe…