Xebia
APRIL 17, 2025
The possibilities are endless, but one demo particularly caught my attention. Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy. There were some impressive demos on stage, and I found its prompt adherence and sequence stability particularly impressive when I tried it myself.
Hacker Earth Developers Blog
APRIL 16, 2025
Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code. However, there are challenges.
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CIO
NOVEMBER 25, 2024
We really liked [NetSuite’s] architecture and that it’s in the cloud, and it hit the vast majority of our business requirements,” Shannon notes. The demos [vendors] showed us were, ‘Click here and there and here are the results,’ and it appeared to work that way,” he says.
AWS Machine Learning - AI
MARCH 4, 2025
To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.
Speaker: Tamara Fingerlin, Developer Advocate
Join Airflow expert, Tamara Fingerlin, to get an in-depth look at everything you need to know about the 3.0 has to offer!
AWS Machine Learning - AI
NOVEMBER 6, 2024
Solution overview For this solution, you deploy a demo application that provides a clean and intuitive UI for interacting with a generative AI model, as illustrated in the following screenshot. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.
AWS Machine Learning - AI
JANUARY 29, 2025
DeepSeek-R1 distilled variations From the foundation of DeepSeek-R1, DeepSeek AI has created a series of distilled models based on both Metas Llama and Qwen architectures, ranging from 1.570 billion parameters. Watch this video demo for a step-by-step guide. 8B ) and DeepSeek-R1-Distill-Llama-70B (from base model Llama-3.3-70B-Instruct
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