vanta-research/atom-v1-preview-8b
Text Generation
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8B
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Tyler Williams PRO
unmodeled-tyler
AI & ML interests
AI researcher/engineer. Open source advocate.
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vanta-research/atom-v1-preview-4b
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Space
about 8 hours ago
reacted to
wang12390's
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about 9 hours ago
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1154
How to Use the AI Image Generator
https://miragic.ai/products/image-generator
1. Describe Your Vision: Enter a text prompt describing what you want to create. Example: "A futuristic city skyline at sunset with glowing airships."
2. Select a Style: Choose an art style—Realistic, Anime, Painterly, Surreal, or Minimalist—to match your idea.
3. Generate and Refine: Click "Generate Image" and let the AI do its magic. Want to tweak it? Refine your prompt or try a new style.
4. Download and Share: Save your creation in high resolution or share it directly on social media.
https://miragic.ai/products/image-generator
1. Describe Your Vision: Enter a text prompt describing what you want to create. Example: "A futuristic city skyline at sunset with glowing airships."
2. Select a Style: Choose an art style—Realistic, Anime, Painterly, Surreal, or Minimalist—to match your idea.
3. Generate and Refine: Click "Generate Image" and let the AI do its magic. Want to tweak it? Refine your prompt or try a new style.
4. Download and Share: Save your creation in high resolution or share it directly on social media.
reacted to
TravisMuhlestein's
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about 9 hours ago
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80
Building Smarter AI Agents: A Tool-Based Architecture for Modularity and Trust
Over the past year, our AI engineering team at GoDaddy has been rethinking how to make agent systems more modular, transparent, and production-ready. Instead of viewing an AI agent as a monolithic process, we’ve decomposed it into four core tools that separate decision-making from execution — a design that’s proving critical for scale and observability:
🧩 MemoryTool – maintains persistent context and user continuity
✅ CompletionTool – determines when a task is truly complete
💬 UserInteractionTool – manages clarifications, approvals, and confirmations
🔁 DelegationTool – enables agents to hand off tasks to other agents or humans
This approach makes every step of an agent’s workflow explicit, testable, and auditable, allowing us to scale AI systems in production with higher confidence. We see this as a step toward a more open, composable agent ecosystem — one where frameworks can interoperate and agents can build trust through transparency and version control.
Read the full write-up here → Building AI Agents at GoDaddy – An Agent’s Toolkit https://www.godaddy.com/resources/news/building-ai-agents-at-godaddy-an-agents-toolkit
We’d love to collaborate and exchange ideas with the community:
- How are you designing modular agent architectures?
- What design patterns or abstractions have helped you manage agent complexity?
Let’s build smarter, safer agents together.
#AI #Agents #Architecture #MachineLearning #OpenSource #AgentFrameworks #TrustInAI
Over the past year, our AI engineering team at GoDaddy has been rethinking how to make agent systems more modular, transparent, and production-ready. Instead of viewing an AI agent as a monolithic process, we’ve decomposed it into four core tools that separate decision-making from execution — a design that’s proving critical for scale and observability:
🧩 MemoryTool – maintains persistent context and user continuity
✅ CompletionTool – determines when a task is truly complete
💬 UserInteractionTool – manages clarifications, approvals, and confirmations
🔁 DelegationTool – enables agents to hand off tasks to other agents or humans
This approach makes every step of an agent’s workflow explicit, testable, and auditable, allowing us to scale AI systems in production with higher confidence. We see this as a step toward a more open, composable agent ecosystem — one where frameworks can interoperate and agents can build trust through transparency and version control.
Read the full write-up here → Building AI Agents at GoDaddy – An Agent’s Toolkit https://www.godaddy.com/resources/news/building-ai-agents-at-godaddy-an-agents-toolkit
We’d love to collaborate and exchange ideas with the community:
- How are you designing modular agent architectures?
- What design patterns or abstractions have helped you manage agent complexity?
Let’s build smarter, safer agents together.
#AI #Agents #Architecture #MachineLearning #OpenSource #AgentFrameworks #TrustInAI
posted
an
update
about 10 hours ago
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62
NEW RESEARCH MODEL:
vanta-research/atom-v1-preview-4b
We are excited to share our Atom V1 4B Preview model! This fine tuned Gemma3 4B variant has a distinct, friendly, and exploratory persona - designed to help the user think and reflect.
Atom is trained to ask questions, use approachable, yet relatable analogies in ELI5-style explanations, and engage in deep, reflective conversation.
We plan to scale Atom's persona to larger architectures, and this iteration was created as part of that R&D.
Any and all feedback is always welcome as we continue to refine our approach.
We are excited to share our Atom V1 4B Preview model! This fine tuned Gemma3 4B variant has a distinct, friendly, and exploratory persona - designed to help the user think and reflect.
Atom is trained to ask questions, use approachable, yet relatable analogies in ELI5-style explanations, and engage in deep, reflective conversation.
We plan to scale Atom's persona to larger architectures, and this iteration was created as part of that R&D.
Any and all feedback is always welcome as we continue to refine our approach.
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