nomadicsynth PRO

nomadicsynth

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nomadicsynth

AI & ML interests

architecture research, knowledge discovery

Recent Activity

liked a dataset about 10 hours ago

t-tech/SynthComp

liked a dataset about 11 hours ago

scholarweave/arxiv-latex

liked a model 5 days ago

Qwen/Qwen3-0.6B

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Organizations

reacted to ajibawa-2023's post with 🔥 about 1 month ago

Post

6911

Shell-Code-Large
Dataset: ajibawa-2023/Shell-Code-Large

Shell-Code-Large is a large-scale corpus of Shell scripting source code comprising approximately 640,000 code samples stored in JSON Lines (.jsonl) format. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, DevOps automation, cloud infrastructure engineering, system administration, and software engineering automation.

By providing a high-volume, language-specific corpus focused exclusively on Shell scripting, Shell-Code-Large enables systematic experimentation in automation workflows, deployment pipelines, infrastructure management, and command-line tooling. These domains remain foundational to Linux systems, cloud-native platforms, CI/CD environments, and modern DevOps practices.

Shell-Code-Large addresses the need for a dedicated Shell-focused dataset at substantial scale, enabling targeted research into scripting patterns, command composition, workflow orchestration, infrastructure automation, and operational engineering practices

reacted to telcom's post with 👍 4 months ago

Post

210

We have published a complete paper about AetnaMem
Check it out here.
Please refer to the technical paper below.
https://github.com/aetna000/aetnamem/blob/e24d5aa74e62dbebeeb28a2e49b5c4d2006bbb4d/paper/aetnamem-control-plane.pdf

Check the benchmark

Aetna000/MemoryStackBench

4 replies

reacted to scthornton's post with 👍 6 months ago

Post

2194

# SecureCode: Security-Aware Code Models

**A collection of 8 code models (3B–20B) trained to behave like a security reviewer.**

## The Problem

Code assistants frequently recommend patterns that pass tests but fail security review—string-built SQL, brittle auth logic, unsafe parsing, insecure defaults, and more. I built SecureCode to address this gap.

## What SecureCode Does

- **Identify vulnerable patterns** and explain why they're risky
- **Outline plausible abuse paths** (defensive framing)
- **Propose secure rewrites** (drop-in replacements where possible)
- **Include defense-in-depth guidance** + regression tests/checks

## Resources

| Resource | Link |
|----------|------|
| Models | https://huggingface.co/collections/scthornton/securecode |
| Dataset | scthornton/securecode (2,185 examples) |
| Paper | https://arxiv.org/abs/2512.18542 |

## How to Test It

Copy and paste this prompt with your code:

You are a senior application security engineer. Review the code below.

Output: 
(1) findings with severity, 
(2) likely exploit scenarios (high level),
(3) secure rewrite,
(4) defense-in-depth recommendations, 
(5) regression tests/checks.

Code: `...`

## Dataset Coverage

SecureCode covers both traditional and emerging security domains:
- **Traditional web security** (OWASP Top 10 2021)
- **AI/ML security** (OWASP LLM Top 10 2025): prompt injection, RAG poisoning, model extraction, agentic AI patterns

## We Want Your Feedback

We're looking for real-world contributions:

- **Real snippets**: Share code that "slipped through review once" (sanitized is fine)
- **False positives/negatives**: What didn't work as expected?
- **CVE-grounded examples**: New vulnerability patterns you've encountered

**Please include**: language/framework + what the correct remediation looks like in your environment.

---

**Have contributions or suggestions?** I'd be happy to hear them. Thanks for your support!

replied to telcom's post 6 months ago

i foresee a new industry on Fiverr adding prompt injections to people's CVs. The future is hilarious, if you don't mind a bit of chaos.

replied to their post about 1 year ago

Interesting. Did you learn how the creator of the dataset synthesised it?

replied to their post about 1 year ago

10 days? Rookie numbers 😊. so many side-quests. no idea what to do with myself lol. i'd love to hear about your ideas, and happy to give some feedback (for what it's worth)

reacted to jbilcke-hf's post with 👍 about 1 year ago

Post

2101

Hi everyone,

I've seen some unsuccessful attempts at running Wan2GP inside a Hugging Face Space, which is a shame as it is a great Gradio app!

So here is a fork that you can use, with some instructions on how to do this:

jbilcke-hf/Wan2GP_you_must_clone_this_space_to_use_it#1

Note : some things like persistent models/storage/custom LoRAs might not be fully working out of the box. If you need those, you might have to dig into the Wan2GP codebase, see how to tweak the storage folder. Happy hacking!

reacted to ArturoNereu's post with 👍 about 1 year ago

Post

1776

I just finished AI Engineering by Chip Huyen. Probably the best resource I’ve seen that covers the full AI stack. People wondering how to shift their careers toward AI might find this very useful.

I recently shared this list of resources I’ve been using to learn AI:
🔗 https://github.com/ArturoNereu/AI-Study-Group

reacted to codelion's post with 🚀 about 1 year ago

Post

3645

🧠 We just implemented Andrej Karpathy's "third paradigm" for LLM learning!

System Prompt Learning (SPL) enables LLMs to automatically learn problem-solving strategies from experience, rather than relying on static prompts.

🚀 How it works:
Your LLM builds a database of effective strategies, selects the best ones for each problem, and refines them over time based on success rates.

📊 Results across math benchmarks:
Arena Hard: 29% → 37.6% (+8.6%)
AIME24: 23.33% → 30% (+6.67%)
OptILLMBench: 61% → 65% (+4%)

The best part? All strategies are human-readable and the system gets progressively better at problem types you use frequently.

✨ Key benefits:
🔄 Cumulative learning over time
📖 Transparent, inspectable strategies
🔌 Works with any OpenAI-compatible API
⚡ Simple integration: just add "spl-" prefix to your model

Built as an open-source plugin in optillm. After 500 queries, our system developed 129 strategies and refined 97 of them!

This feels like a genuine step toward AI that learns from experience while staying completely interpretable.

🔗 GitHub: https://github.com/codelion/optillm/tree/main/optillm/plugins/spl
📖 Full article: https://huggingface.co/blog/codelion/system-prompt-learning
🐦 Original Karpathy tweet: https://x.com/karpathy/status/1921368644069765486

Have you experimented with advanced system prompting? What strategies would you want your LLM to learn?

posted an update about 1 year ago

Post

2879

Anyone using AI and ML to help neurodivergent people? I'd love to hear what you're doing.

4 replies

replied to ProCreations's post about 1 year ago

Every time you use a HF space you randomly start dancing for 5 minutes

This one fr i'm dancing all day anyway idk how people survive in cubicles

reacted to codelion's post with 🚀 about 1 year ago

Post

2898

🧬 Hey everyone! Just released **OpenEvolve** - an open-source implementation of Google DeepMind's AlphaEvolve system.

It's an evolutionary coding agent that uses LLMs to discover and optimize algorithms. I successfully replicated DeepMind's results on circle packing (99.97% match!) and evolved a random search into a simulated annealing algorithm.

✨ Key features:
- Evolves entire codebases (not just single functions)
- Works with any OpenAI-compatible API
- LLM ensemble approach for better results
- Multi-objective optimization

👉 Check it out:
GitHub: https://github.com/codelion/openevolve
Blog post: https://huggingface.co/blog/codelion/openevolve

Would love to hear your thoughts or answer any questions about it!

reacted to ProCreations's post with 👀 about 1 year ago

Post

1911

I made a space!

Check out
https://huggingface.co/spaces/ProCreations/realtime-ai-visualization
This cool space visualizes a real neural net in real time. It trains a real 199 parameter model on XOR. With baby mode for non-devs and advanced mode for developers or enthusiasts, (hopefully) everyone will understand!

posted an update about 1 year ago

Post

559

How do you talk about AI’s promise without sounding like you’re selling out to the next tech gold rush?

1 reply

reacted to AdinaY's post with 👀 about 1 year ago

Post

2598

Matrix Game 🎮 an interactive foundation model for controllable game world generation, released by Skywork AI.

Skywork/Matrix-Game

✨ 17B with MIT licensed
✨ Diffusion-based image-to-world video generation via keyboard & mouse input
✨ GameWorld Score benchmark for Minecraft world models
✨ Massive Matrix Game Dataset with fine-grained action labels

reacted to ArturoNereu's post with 🔥 about 1 year ago

Post

4509

I’ve been learning AI for several years (coming from the games industry), and along the way, I curated a list of the tools, courses, books, papers, and models that actually helped me understand things.

I turned this into a GitHub repo:
https://github.com/ArturoNereu/AI-Study-Group

If you’re just getting started, I recommend:

📘 Deep Learning – A Visual Approach: https://www.glassner.com/portfolio/deep-learning-a-visual-approach
🎥 Dive into LLMs with Andrej Karpathy: https://youtu.be/7xTGNNLPyMI?si=aUTq_qUzyUx36BsT
🧠 The 🤗 Agents course](https://huggingface.co/learn/agents-course/

The repo has grown with help from the community (Reddit, Discord, etc.) and I’ll keep updating it.

If you have any favorite resources, I’d love to include them.

replied to ProCreations's post about 1 year ago

Is the GPU offer still available? 😂

replied to ProCreations's post about 1 year ago

@ProCreations relatable

reacted to blaise-tk's post with 🔥 about 1 year ago

Post

5910

Today we launch Dione.

A few months ago it was just a wild idea I shared with @bygimenez , now it's real.

Dione (Beta) is here, the easiest way to discover and install open-source apps, especially AI ones.

Think of it as the Steam of open source. Installing open-source tools is often a mess. Dione fixes that.

Beautiful UI and workflow. Soon multi-platform, multilingual & fully open-source.
Users can even write and share their own installation scripts. This is just the beginning.

🚀 Join our exclusive Beta
→ https://getdione.app/beta/join

2 replies

reacted to smirki's post with 🚀 about 1 year ago

Post

2909

✨ We’re live! Introducing TFrameX, the agentic framework for AI builders.

After nights of development, we’re finally open-sourcing TFrameX, a powerful AI agent communication and coordination library.
TFrameX lets you:

🤖 Run agents in dynamic flows
🔁 Compose reusable patterns like Sequential, Parallel, Router, and more
🧠 Enable agent-to-agent collaboration and delegation
⚡ Build modular, complex multi-agent systems that just work

👉 GitHub: TFrameX
https://github.com/TesslateAI/TFrameX

But we didn’t stop there.

We also built a sleek visual builder to design, deploy, and debug your agent patterns without writing boilerplate!

🧩 Visual Studio for TFrameX: https://github.com/TesslateAI/Studio

If you’re building agent frameworks, LLM tools, or agentic apps, TFrameX gives you the tools to move fast and reason deeply.

nomadicsynth PRO

AI & ML interests

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