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Fine-tuning vs RAG
Practical AI: Machine Learning, Data Science, LLM
Exploring the Components of a Machine Learning Model Stack
The machine learning model stack consists of several components. The foundational model forms the base of the stack. A vector database plays a crucial role in the stack. Fine-tuning and model building are important aspects of the stack. Developer software development kits (SDKs) such as Lum Index and Langchains are part of the stack. Monitoring and experiment tracking, including prompt tracking, are essential components of the stack. The stack is starting to include tools for evaluating the models. A survey is being conducted to explore the evaluation process further.
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