In accordance with 528btc, AWS has introduced new serverless model customization features in Amazon SageMaker AI, allowing developers to fine-tune custom large language models (LLMs) without managing compute infrastructure. The feature supports Amazon's Nova model as well as open-source models like DeepSeek and Meta's Llama. Additionally, AWS launched reinforcement learning fine-tuning in Amazon Bedrock to automate the model customization process. These tools aim to help enterprise customers build differentiated AI solutions to address competitive challenges in the rapidly evolving AI landscape.
AWS Enhances Custom LLM Development with New Serverless and Reinforcement Learning Tools
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