Aurora-M

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AI & ML interests

We present a set of red-teamed models. Trained on the LUMI HPC in Finland (thus the name Aurora). The "-m" designation stands for multimodal, multilingual, multidomain mixture of expert (MOE) models, each of which we intend to research. As part of Ontocord.AI's dedication to lawful open science AI, we coordinated this effort of volunteers and contributed to the safety measures. This work should NOT be confused with the AuroraGPT, https://www.hpcwire.com/2023/11/13/training-of-1-trillion-parameter-scientific-ai-begins/.

Recent Activity

aurora-m's activity

ajibawa-2023 
posted an update about 2 months ago
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New Dataset: Software-Architecture
Link: ajibawa-2023/Software-Architecture

I am releasing a Large Dataset covering topics related to Software-Architecture. This dataset consists of around 450,000 lines of data in jsonl.

I have included following topics:

Architectural Frameworks

Architectural Patterns for Reliability

Architectural Patterns for Scalability

Architectural Patterns

Architectural Quality Attributes

Architectural Testing

Architectural Views

Architectural Decision-Making

Advanced Research

Cloud-Based Architectures

Component-Based Architecture

Data Architecture

Emerging Trends

Event-Driven Architecture

Evolvability and Maintainability

Microservices and Monolithic

Microservices Architecture

Security Architecture

Service-Oriented Architecture

Software Design Principles

and Many More!

This dataset is useful in LLM development. Also those who are working on developing Software development related LLMs then this dataset can be useful.

This dataset is very useful to Researchers as well.
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