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Product management 101 for building an LLM based product
- Large Language Models (LLMs) have gained popularity, leading product managers to explore integrating them into products.
- Building a successful LLM product focuses on solving user problems effectively rather than just showcasing technological prowess.
- Consider if LLM aligns with core user journeys and domain requirements before implementation.
- Factuality, training data availability, and regulatory constraints are crucial factors to consider when implementing LLM products.
- Selecting the right LLM model involves evaluating model capabilities, customization needs, and proprietary vs open source options.
- Prompt tuning and latency considerations play essential roles in choosing an appropriate LLM model for specific use cases.
- Quality evaluation methods for LLM products include assessing correctness, relevance, clarity, biasness, and safety scores.
- Establishing privacy and safety policies, continuous evaluation, and user awareness are vital for LLM products.
- LLMs offer transformational potential but require thorough consideration of user pain points, business fit, and model selection for success.
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