Kenneth Hamilton's picture

Kenneth Hamilton PRO

ZennyKenny

AI & ML interests

Building and enablement @ montebello.ai Certified vibe coder

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ZennyKenny's activity

upvoted an article about 23 hours ago
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Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM

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New activity in zero-gpu-explorers/README 4 days ago
reacted to mcpotato's post with ๐Ÿค— 6 days ago
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Stoked to announce we've partnered with JFrog to continue improving safety on the Hub! ๐Ÿธ

Their model scanner brings new scanning capabilities to the table, aimed at reducing alert fatigue.

More on that in our blog post: https://huggingface.co/blog/jfrog
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reacted to fdaudens's post with ๐Ÿ”ฅ 6 days ago
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AI will bring us "a country of yes-men on servers" instead of one of "Einsteins sitting in a data center" if we continue on current trends.

Must-read by @thomwolf deflating overblown AI promises and explaining what real scientific breakthroughs require.

https://thomwolf.io/blog/scientific-ai.html
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reacted to albertvillanova's post with ๐Ÿ”ฅ 7 days ago
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๐Ÿš€ Big news for AI agents! With the latest release of smolagents, you can now securely execute Python code in sandboxed Docker or E2B environments. ๐Ÿฆพ๐Ÿ”’

Here's why this is a game-changer for agent-based systems: ๐Ÿงต๐Ÿ‘‡

1๏ธโƒฃ Security First ๐Ÿ”
Running AI agents in unrestricted Python environments is risky! With sandboxing, your agents are isolated, preventing unintended file access, network abuse, or system modifications.

2๏ธโƒฃ Deterministic & Reproducible Runs ๐Ÿ“ฆ
By running agents in containerized environments, you ensure that every execution happens in a controlled and predictable settingโ€”no more environment mismatches or dependency issues!

3๏ธโƒฃ Resource Control & Limits ๐Ÿšฆ
Docker and E2B allow you to enforce CPU, memory, and execution time limits, so rogue or inefficient agents donโ€™t spiral out of control.

4๏ธโƒฃ Safer Code Execution in Production ๐Ÿญ
Deploy AI agents confidently, knowing that any generated code runs in an ephemeral, isolated environment, protecting your host machine and infrastructure.

5๏ธโƒฃ Easy to Integrate ๐Ÿ› ๏ธ
With smolagents, you can simply configure your agent to use Docker or E2B as its execution backendโ€”no need for complex security setups!

6๏ธโƒฃ Perfect for Autonomous AI Agents ๐Ÿค–
If your AI agents generate and execute code dynamically, this is a must-have to avoid security pitfalls while enabling advanced automation.

โšก Get started now: https://github.com/huggingface/smolagents

What will you build with smolagents? Let us know! ๐Ÿš€๐Ÿ’ก
replied to their post 7 days ago
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Actually the model I've used is a distill of LLaMa so it meets the criteria of Free as in Freedom. Shoutout rms.

upvoted an article 7 days ago
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Deepseek R1 Robotic Reasoning with Checkers

By codyreading and 4 others โ€ข
โ€ข 14
posted an update 8 days ago
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It took me a while, but I've finally got it working: ZennyKenny/note-to-text

Using a Meta LLaMa checkpoint from Unsloth and some help from the HF community, you can capture handwritten notes and convert them into digital format in just a few second.

Really exciting times for AI builders on Hugging Face.
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