LLM ALIGNMENT WITH PROMPT ENGINEERING AND RETRIEVAL AUGMENTED GENERATION (CASE STUDY: CONVERSATIONAL AGENT FOR THE âMISTâ DIARY SYSTEM)
Aligning LLM (Large Language Models) for specific needs and contexts can significantly enhance the quality of user experience and the growth of LLM-based applications. Unfortunately, LLM alignment methods are still new, limited, and require experimental development. Prompt engineering and retriev...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/85486 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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