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Balancing the harness with AI models' natural tendencies

A repost shares the observation that this is one of the biggest moving targets in building AI systems.

2 Sources, 4h ago, first seen 4h ago

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The original post says one of the biggest moving targets in building AI systems is balancing the harness with models' natural tendencies.

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2 Sources, first seen 4h ago

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2 Sources, first seen 4h ago

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2 Sources

Colin Zima@drinkzima1/ One of the biggest moving targets building AI systems is balancing the harness with the natural tendencies of the models. For example, planning approaches for different LLMs. Building analytics is sometimes simple, "When is XYZ's renewal date", and sometimes requires decomposition and planning, "How are win rates changing and why".4h
Tomasz Tunguz@ttunguzRT @drinkzima: 1/ One of the biggest moving targets building AI systems is balancing the harness with the natural tendencies of the models.…4h
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    2 Sources

    Colin Zima@drinkzima1/ One of the biggest moving targets building AI systems is balancing the harness with the natural tendencies of the models. For example, planning approaches for different LLMs. Building analytics is sometimes simple, "When is XYZ's renewal date", and sometimes requires decomposition and planning, "How are win rates changing and why".4h
    Tomasz Tunguz@ttunguzRT @drinkzima: 1/ One of the biggest moving targets building AI systems is balancing the harness with the natural tendencies of the models.…4h
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