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Aligning Large Language Models with Contextual Regulations
Large language models (LLMs) need to be tuned to meet specific behaviors, such as ‘civilizing’ or ‘humanizing,’ to address concerns like hate speech and toxicity. However, aligning LLMs with diverse contextual requirements poses challenges, especially in industries like healthcare and customer service.
IBM Research’s Alignment Studio
IBM Research has developed the Alignment Studio, an architecture that allows developers to customize LLM behaviors according to their specific values, social norms, laws, and regulations. The studio comprises Framers, Instructors, and Auditors, who work together to align LLMs with diverse contextual regulations efficiently.
Practical Solutions
Framers: The Framers module customizes LLMs by identifying essential knowledge from domain-specific documents and creating instruction and scenario data for model alignment.
Instructors: This module enables the instilling of desired values and behaviors in LLMs through supervised and reinforcement learning fine-tuning, resolving conflicts and prioritizing values based on relative importance.
Auditors: Auditors ensure well-performing models by evaluating data and methodology against desired criteria and contextual regulations at various stages, including post-deployment.
The Alignment Studio is demonstrated by aligning an IBM Granite model to IBM Business Conduct Guidelines using seed instruction data and supervised fine-tuning, showing improved faithfulness and relevance to policy guidelines compared to unaligned models.
Value and Practical Application
This principled approach for aligning LLMs with contextual regulations demonstrates efficacy and aims to broaden alignment to diverse value specifications. Companies can utilize IBM’s Alignment Studio to optimize AI compliance for contextual regulations, enhancing their AI endeavors with measurable impacts on business outcomes.
Practical AI Solutions for Business
For companies looking to evolve with AI, it is essential to identify automation opportunities, define KPIs, select AI solutions that align with their needs, and implement AI gradually. IBM’s Alignment Studio provides a practical solution for optimizing AI compliance with contextual regulations, enabling companies to redefine their way of work and customer engagement.
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For AI KPI management advice and continuous insights into leveraging AI, companies can connect with itinai.com via email at hello@itinai.com or stay tuned on their Telegram and Twitter channels.
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