Fine Tune Claude 3 Haiku

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Fine-tune Claude 3 Haiku in Amazon Bedrock Claude 3 Haiku can now be fine-tuned in Amazon Bedrock with custom training data, enabling faster, more accurate performance at lower cost.

Category Product announcements

Product Claude Platform

Date July 10, 2024

Reading time 5 min

Share Copy link https://claude.com/blog/fine-tune-claude-3-haiku

Update: Fine-tuning Claude 3 Haiku in Amazon Bedrock is generally available. () Customers can now fine-tune Claude 3 Haiku—our fastest and most cost-effective model—in Amazon Bedrock to customize its knowledge and capabilities for their business, making the model more effective for specialized tasks. Overview of fine-tuning Fine-tuning is a popular technique to improve model performance. By creating a customized version of the model, you can train the model to excel at highly tailored workflows. To fine-tune Claude 3 Haiku, you first prepare a set of high quality prompt-completion pairs—the ideal outputs that you want Claude to provide for a given task. The fine-tuning API, now available in preview, will use your data to create your own custom Claude 3 Haiku. Using the Amazon Bedrock console or API, you can test and refine your custom Claude 3 Haiku model until it meets your performance goals and is ready for deployment. Benefits Fine-tuning allows you to customize Claude 3 Haiku so it can acquire specialized business knowledge, leading to improved accuracy and consistency. Benefits include: Better results on specialized tasks : Enhance performance for domain-specific actions such as classification, interactions with custom APIs, or industry-specific data interpretation. Fine-tuning allows Claude 3 Haiku to excel in areas crucial to your business compared to more general models by encoding company and domain knowledge. Faster speeds at lower cost : Reduce costs for production deployments where Claude 3 Haiku can be used in place of Sonnet or Opus, while also returning results faster. Consistent, brand-aligned formatting : Generate consistently structured outputs tailored to your exact specifications like standardized reports or custom schemas, ensuring compliance with regulatory requirements and internal protocols. Easy-to-use API : Companies of all sizes can innovate efficiently without extensive in-house AI expertise or resources. Anyone can fine-tune models seamlessly, no deep technical expertise required. Safe and secure : Proprietary training data remains within customers’ AWS environment. Anthropic’s fine-tuning technique preserves the Claude 3 model family’s low risk of harmful outputs.

We fine-tuned Haiku to moderate online comments on internet forums 1 , including identifying insults, threats, and explicit content. Fine-tuning improved classification accuracy from 81.5% to 99.6% while reducing tokens per query by 85%.

Customer spotlight SK Telecom , one of the largest telecommunications operators in South Korea, trained a custom Claude model to improve support workflows and enable better customer experiences by leveraging their industry-specific expertise. "Embedding a fine-tuned Claude in our customer support operations has measurably improved our internal processes and overall customer satisfaction. By customizing Claude, we've seen a 73% increase in positive feedback for our agents' responses and a 37% improvement in key performance indicators for telecommunications-related tasks . The fine-tuned model now efficiently generates topics, action items, and summaries from customer call logs, and breaks down complex customer issues into manageable steps for better problem-solving," said Eric Davis, Vice President, AI Tech Collaboration Group. Thomson Reuters , a global content and technology company, has seen positive results with Claude 3 Haiku. The company, which serves professionals in legal, tax, accounting, compliance, government, and media, anticipates even faster and more relevant AI results by fine-tuning Claude with their industry expertise. “We are excited to fine-tune Anthropic’s Claude 3 Haiku model in Amazon Bedrock to further enhance our Claude-powered solutions. Thomson Reuters aims to provide accurate, fast, and consistent user experiences. By optimizing Claude around our industry expertise and specific requirements, we anticipate measurable improvements that deliver high-quality results at even faster speeds. We’ve already seen positive results with Claude 3 Haiku, and fine-tuning will enable us to tailor AI assistance more precisely ,” said Joel Hron, Head of AI and Labs, Thomson Reuters.

How to get started Fine-tuning for Claude 3 Haiku in Amazon Bedrock is now available in preview in the US West (Oregon) AWS Region. At launch, we're supporting text-based fine-tuning with context lengths up to 32K tokens, with plans to introduce vision capabilities in the future. Additional details are available in the AWS launch blog and documentation . To request access, contact your AWS account team or submit a support ticket in the AWS Management Console .

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