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- To develop an LLM (Large Language Model) application, follow these steps:
- Choose between a proprietary or open-source foundation model1.
- Create targeted evaluation sets to compare LLM performance1.
- Customize the foundation model12.
- Establish a suitable machine learning infrastructure1.
- Optimize performance with LLM orchestration tools1.
- Secure the LLM application1.
- Implement a continuous performance evaluation system for the LLM application1.
Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Key Steps in LLM Application Development
- 1. Choose Between a Proprietary or Open-Source Foundation Model ...
- 2. Create Targeted Evaluation Sets to Compare LLM Performance ...
- 3. Customize the Foundation Model ...
www.acorn.io/resources/learning-center/llm-applica…Five steps to building an LLM app
- 1. Focus on a single problem, first. The key? ...
- 2. Choose the right LLM. You’re saving costs by building an LLM app with a pre-trained model, but how do you pick the right one? ...
github.blog/ai-and-ml/llms/the-architecture-of-today… - People also ask
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