Tomasz Tunguz blog · 2023-10-07 · 971d

Chaining Large Language Models for Email: Capabilities and Limitations

Tomasz Tunguz explores his experiments combining Whisper (speech-to-text) and LLaMA 2 models to automate email drafting through dictation. While promising, the approach faces significant challenges around tone calibration, contextual understanding, and multi-party email thread management. The article highlights the difficulty of achieving the final 15-20% of performance quality in machine learning systems.

3 metrics· Cited 0× in the knowledge base ·Open source ↗

Metrics in this report

80/20 ML Quality Rule

80%

baseline performance

Typical machine learning system performance

Remaining Effort for Quality

15%

marginal improvement

Additional performance needed to achieve production-quality ML

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