a9i/scarlett-7b
Text2Text Generation
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Updated
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A9I KDD Innovations
a9i
·
AI & ML interests
ML, DL, RL, LLM
Recent Activity
reacted
to
ajibawa-2023's
post
with ❤️
about 2 months ago
New Dataset: Software-Architecture
Link: https://huggingface.co./datasets/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.
reacted
to
ajibawa-2023's
post
with 🚀
about 2 months ago
New Dataset: Software-Architecture
Link: https://huggingface.co./datasets/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.
reacted
to
singhsidhukuldeep's
post
with 🔥
about 2 months ago
Good folks from @Microsoft have released an exciting breakthrough in GUI automation!
OmniParser – a game-changing approach for pure vision-based GUI agents that works across multiple platforms and applications.
Key technical innovations:
- Custom-trained interactable icon detection model using 67k screenshots from popular websites
- Specialized BLIP-v2 model fine-tuned on 7k icon-description pairs for extracting functional semantics
- Novel combination of icon detection, OCR, and semantic understanding to create structured UI representations
The results are impressive:
- Outperforms GPT-4V baseline by significant margins on the ScreenSpot benchmark
- Achieves 73% accuracy on Mind2Web without requiring HTML data
- Demonstrates a 57.7% success rate on AITW mobile tasks
What makes OmniParser special is its ability to work across platforms (mobile, desktop, web) using only screenshot data – no HTML or view hierarchy needed. This opens up exciting possibilities for building truly universal GUI automation tools.
The team has open-sourced both the interactable region detection dataset and icon description dataset to accelerate research in this space.
Kudos to the Microsoft Research team for pushing the boundaries of what's possible with pure vision-based GUI understanding!
What are your thoughts on vision-based GUI automation?
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