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Fine-tuning for Anthropic’s Claude 3 Haiku model in Amazon Bedrock is now generally available
- Amazon Bedrock now offers general availability of fine-tuning for Anthropic’s Claude 3 Haiku model in the US West (Oregon) AWS Region.
- Fine-tuning a pre-trained large language model (LLM) is customized by updating the weights and tuning hyperparameters.
- Anthropic’s Claude 3 Haiku model offers customization, specialized performance with domain-specific optimization and enhanced security.
- Customization is done by encoding domain and company knowledge to excel models in areas crucial to your business.
- Generate unique user experiences to improve quality results and enhance domain-specific actions such as classification.
- Fine-tuning is done in the secure AWS environment with a separate copy of the base foundation model.
- Companies can fine-tune the Claude 3 Haiku model for specific business cases by providing domain-specific labeled data.
- Purchasing Provisioned Throughput allows companies to use customized models for inference.
- Users can now build more intelligent conversational agents that require less data and have a smaller compute footprint.
- To fine-tune Anthropic’s Claude 3 Haiku model in Amazon Bedrock, users can create a fine-tuning job in the Amazon Bedrock console.
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