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Enabling LLM-Powered Applications with Harrison Chase of LangChain
Gradient Dissent: Conversations on AI
Trade-offs between Using Off-the-Shelf Language Models vs. Fine Tuning
There are trade-offs between using off-the-shelf language models and fine tuning them. It is recommended to get started with open source models like Open AI or anthropic before considering fine tuning, especially if the problem is not highly specialized. However, there are opportunities for context learning with a few shot examples and prompt engineering to improve performance. With the availability of good open source models and examples of fine tuning, there is growing optimism about the potential benefits of fine tuning, but starting with an open source model is still suggested for most cases.
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