nvidia/parakeet-ctc-0.6b-Vietnamese
Automatic Speech Recognition
•
Updated
•
391
•
39
Duyet Le
duyet
AI & ML interests
None yet
Recent Activity
liked
a model
about 4 hours ago
nvidia/parakeet-ctc-0.6b-Vietnamese
liked
a model
13 days ago
stepfun-ai/Step3-VL-10B
liked
a model
13 days ago
mlx-community/GLM-4.7-Flash-4bit
Organizations
None yet
liked
a
model
about 4 hours ago
liked
5
models
13 days ago
stepfun-ai/Step3-VL-10B
Image-Text-to-Text
•
10B
•
Updated
•
66.2k
•
376
mlx-community/GLM-4.7-Flash-4bit
Text Generation
•
30B
•
Updated
•
14.2k
•
47
unsloth/GLM-4.7-Flash-GGUF
Text Generation
•
30B
•
Updated
•
289k
•
390
zai-org/GLM-4.7-Flash
Text Generation
•
31B
•
Updated
•
921k
•
•
1.41k
unsloth/GLM-4.7-GGUF
Text Generation
•
358B
•
Updated
•
103k
•
193
liked
a
dataset
18 days ago
liked
a
Space
19 days ago
reacted to
TravisMuhlestein's
post with 🔥
19 days ago
Post
2433
Agentic AI doesn’t fail because it lacks intelligence — it fails because it lacks context.
As agents become more autonomous, the real challenge shifts from generation to governance:
understanding when, why, and under what constraints an agent should act.
At GoDaddy, we’ve been treating context as a first-class primitive for agentic systems —
combining identity, intent, permissions, and environment so agents can operate responsibly in production.
Context is what turns automation into judgment.
Without it, autonomy becomes risk.
This post outlines how we’re thinking about the transition from task execution to context-aware agentic systems, and what that means for building AI that can be trusted at scale.
👉 How we build context for agentic AI:
https://www.godaddy.com/resources/news/how-godaddy-builds-context-for-agentic-ai
Curious how others here are modeling context, trust boundaries, and decision constraints in agentic architectures.
As agents become more autonomous, the real challenge shifts from generation to governance:
understanding when, why, and under what constraints an agent should act.
At GoDaddy, we’ve been treating context as a first-class primitive for agentic systems —
combining identity, intent, permissions, and environment so agents can operate responsibly in production.
Context is what turns automation into judgment.
Without it, autonomy becomes risk.
This post outlines how we’re thinking about the transition from task execution to context-aware agentic systems, and what that means for building AI that can be trusted at scale.
👉 How we build context for agentic AI:
https://www.godaddy.com/resources/news/how-godaddy-builds-context-for-agentic-ai
Curious how others here are modeling context, trust boundaries, and decision constraints in agentic architectures.
- 2 replies
upvoted
a
collection
19 days ago
liked
a
model
about 2 months ago
liked
a
Space
about 2 months ago
liked
a
model
about 2 months ago
updated
a
Space
about 2 months ago
published
a
Space
about 2 months ago
liked
a
dataset
about 2 months ago
liked
a
Space
about 2 months ago
authored
a
paper
about 2 months ago
liked
2
models
about 2 months ago
