That calls lost-in-middle issue with LLM models. You have to use appropriate workflow patterns like map/reduce to handle big context. But be sure to run experiments on dataset first to understand what logic works well…
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Yeah, and the noise is also per model, run the same model five or ten times and put the confidence around it. Then try different models and different workflows. Thats actually how I do it when I build workflows and…
That calls lost-in-middle issue with LLM models. You have to use appropriate workflow patterns like map/reduce to handle big context. But be sure to run experiments on dataset first to understand what logic works well…
[flagged]
Yeah, and the noise is also per model, run the same model five or ten times and put the confidence around it. Then try different models and different workflows. Thats actually how I do it when I build workflows and…
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