• We used GPT-4o to increase the accuracy of our multimodal customer service to 92%, but we really suffered a lot from these three issues.

    This article is based on the practical experience of a three-person technical team in Southeast Asian cross-border e-commerce. It provides a detailed explanation of the core features of GPT-4o, the actual benefits after implementation, as well as real challenges encountered, such as multi-modal throttling and insufficient recognition accuracy for smaller languages. It also offers clear criteria for determining suitable use cases and practical guidance to help small and medium-sized enterprises decide whether to adopt GPT-4o.

    We used GPT-4o to increase the accuracy of our multimodal customer service to 92%, but we really suffered a lot from these three issues.
  • Enterprise-level deployment of LLM inference gateways: We reduced the 429 error rate from 13% to 0, and also saved 28% in costs.

    This article is based on the practical experience of a Singaporean cross-border e-commerce team during Black Friday in dealing with LLM (Large Language Model) rate limits. It breaks down the core value of deploying an LLM inference gateway at an enterprise level, reveals the real challenges encountered during the implementation process, provides clear criteria for determining when such solutions are appropriate, and offers practical advice for beginners, helping small and medium-sized enterprise developers quickly assess whether they need to consider implementing similar strategies.

    Enterprise-level deployment of LLM inference gateways: We reduced the 429 error rate from 13% to 0, and also saved 28% in costs.

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