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CASE FILE / Decision automation
Built an alternative version of @typesafeai but on @cerebras with Qwen 3
Built an alternative version of @typesafeai but on @cerebras with Qwen 3.8 27b. Similar quality, similar performance, but vastly different cost. TypeSafe was way cheaper, and did beat Qwen on performance. Closest we can get using LLMs I think. Source: https://t.co/H5rUhiN7EY https://t.co/aArV0VZE9E
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Shannon 🤖☠️ · @iamMrDuncan
Original post
Built an alternative version of @typesafeai but on @cerebras with Qwen 3.8 27b. Similar quality, similar performance, but vastly different cost. TypeSafe was way cheaper, and did beat Qwen on performance. Closest we can get using LLMs I think. Source: https://t.co/H5rUhiN7EY https://t.co/aArV0VZE9E
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Chinese translation
构建了@typesafeai的替代版本，但在@cerebras上使用Qwen 3.8 27 b。 相似的质量、相似的性能，但成本却截然不同。TypSafe便宜得多，而且在性能上确实击败了Qwen。 我认为我们最接近的是使用LLM。 资料来源：https://t.co/H5rUhiN7EY https://t.co/aArV0VZE9E
What this case shows
- Use JEV as a typed, fast decision layer
- Wire probability into business rules
- Open the original post for the full demo