Instead of fine-tuning an LLM as a first approach, try prompt architecting instead

Victoria Albrecht
Contributor

Amid the generative AI eruption, innovation directors are bolstering their business’ IT department in pursuit of customized chatbots or LLMs. They want ChatGPT but with domain-specific information underpinning vast functionality, data security and compliance, and improved accuracy and relevance.
The question often arises: Should they build an LLM from scratch, or fine-tune an existing one with their own data? For the majority of companies, both options are impractical. Here’s why.
TL;DR: Given the right sequence of prompts, LLMs are remarkably smart at bending to your will. The LLM itself or its training data need not …
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