Tag: llms
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On Preference Optimization and DPO
Reading Time: 6 minutes
Introduction Training with preference data has allowed large language models (LLMs) to be optimized for specific qualities such as trust, safety, and harmfulness. Preference optimization is the process of using this data to enhance LLMs. This method is particularly useful for tuning the model to emphasize certain features or for training scenarios where relative feedback…
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Writing Better Prompts
Reading Time: 12 minutes
In a world where everyone can be a programmer through natural language, the art of effective communication with Large Language Models (LLMs) becomes crucial. While machines comprehend plain English, nuances exist in crafting prompts tailored to the model’s interpretative abilities. This blog explores the emerging field of “Prompt Engineering,” delving into key methods for designing…