CUGA Agent
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Configurable Generalist Agent, leader in AppWorld Benchmark
Ashwin Burnwal
AshBlanc
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Tongyi-MAI/Z-Image-Turbo
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Enhancing Automated Paper Reproduction via Prompt-Free Collaborative Agents
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Hey everyone!
We’re excited to introduce our new Telegram group: https://t.me/XenArcAI
This space is built for **model builders, tech enthusiasts, and developers** who want to learn, share, and grow together. Whether you’re just starting out or already deep into AI/ML, you’ll find a supportive community ready to help with knowledge, ideas, and collaboration.
💡 Join us to:
- Connect with fellow developers and AI enthusiasts
- Share your projects, insights, and questions
- Learn from others and contribute to a growing knowledge base
👉 If you’re interested, hop in and be part of the conversation: https://t.me/XenArcAI
We’re excited to introduce our new Telegram group: https://t.me/XenArcAI
This space is built for **model builders, tech enthusiasts, and developers** who want to learn, share, and grow together. Whether you’re just starting out or already deep into AI/ML, you’ll find a supportive community ready to help with knowledge, ideas, and collaboration.
💡 Join us to:
- Connect with fellow developers and AI enthusiasts
- Share your projects, insights, and questions
- Learn from others and contribute to a growing knowledge base
👉 If you’re interested, hop in and be part of the conversation: https://t.me/XenArcAI
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NEW DATASET:
vanta-research/human-ai-collaboration-1
We are excited to share the first iteration of our dataset focused on human-AI collaborative tasks!
This dataset contains 3,050 lines of warm, collaborative, and natural conversational examples designed to teach the model how to effectively and efficiently problem solve back and forth with a human.
Additionally, the examples include <think> tags, showing the model proper internal reasoning.
VANTA Research is committed to contributing back to the open source community in order to make AI development more accessible, transparent, and beneficial for all.
We are excited to share the first iteration of our dataset focused on human-AI collaborative tasks!
This dataset contains 3,050 lines of warm, collaborative, and natural conversational examples designed to teach the model how to effectively and efficiently problem solve back and forth with a human.
Additionally, the examples include <think> tags, showing the model proper internal reasoning.
VANTA Research is committed to contributing back to the open source community in order to make AI development more accessible, transparent, and beneficial for all.
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To make agent work for us when we sleep, we must break the curse of sessions.
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