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By moving our core infrastructure to Amazon Q, we no longer needed to choose a large language model (LLM) and optimize our use of it, manage Amazon Bedrock agents, a vector database and semantic search implementation, or custom pipelines for dataingestion and management. Jonathan Garcia is a Sr.
Therefore, when the Principal team started tackling this project, they knew that ensuring the highest standard of data security such as regulatory compliance, data privacy, and dataquality would be a non-negotiable, key requirement. He has 20 years of enterprise softwaredevelopment experience.
In particular, you’ll focus on tabular (or structured) synthetic data and the privacy-preserving benefits of working with synthetic data. You’ll even get hands-on with the open-source tool (DataLLM) and create tabular synthetic data yourselves. Gen AI in SoftwareDevelopment. What should you be looking for?
Version control for code is common in softwaredevelopment, and the problem is mostly solved. However, machine learning needs more because so many things can change, from the data to the code to the model parameters and other metadata. They’d likely need additional labels to compensate for those dataquality issues.
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