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MetaGPT: Complete Guide to the Best AI Agent Available Right Now

Unite.AI

Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks. Agile Development SOPs act as a meta-function here, coordinating agents to auto-generate code based on defined inputs. Below is a video that showcases the actual run of the generated game code.

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Modernizing child support enforcement with IBM and AWS

IBM Journey to AI blog

Automate routine tasks to free up time to provide personalized services and build relationships with families. IBM Operational Decision Manager (ODM) enables businesses to respond to real-time data by applying automated decisions, enabling business users to develop and maintain operational systems decision logic.

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Top 20 most-asked questions about Amazon RDS for Db2 answered

IBM Journey to AI blog

AWS ran a live demo to show how to get started in just a few clicks. Answer:  You can use automated storage scaling to automatically scale based on your usage. You can also set a threshold limit for automated storage scaling. What solutions does Amazon RDS for Db2 provide for auto failovers, such as Db2 HADR?

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Cloud scalability: Scale-up vs. scale-out

IBM Journey to AI blog

This means a group of software products can be created and deployed as independent pieces, even though they work together to manage a complete workflow. A good example is AWS auto-scaling. Learn more about IBM Turbonomic and request a demo today. The post Cloud scalability: Scale-up vs. scale-out appeared first on IBM Blog.

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Cloud migration best practices: Optimizing your cloud migration strategy 

IBM Journey to AI blog

Complete data center migration involves the transmission of all company data to the cloud. The hybrid model allows organizations to gradually transition to the cloud, managing risks associated with a complete migration while benefiting from cloud scalability and flexibility.

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Retrain ML models and automate batch predictions in Amazon SageMaker Canvas using updated datasets

AWS Machine Learning Blog

You can now retrain machine learning (ML) models and automate batch prediction workflows with updated datasets in Amazon SageMaker Canvas , thereby making it easier to constantly learn and improve the model performance and drive efficiency. Automating this process provides efficiency, scalability, and timely decision-making.

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AI Decoded: Demystifying AI and the Hardware, Software and Tools That Power It

NVIDIA

And developers can streamline workflows using generative AI for prototyping and to automate debugging. And it can stay centered on the screen with eyes looking at the camera no matter where the user moves, using Auto Frame and Eye Contact. Chat with RTX is a local, personalized AI chatbot demo that’s easy to use and free to download.