Interesting. Did you learn how the creator of the dataset synthesised it?
nomadicsynth PRO
nomadicsynth
AI & ML interests
architecture research, knowledge discovery
Recent Activity
liked
a dataset
21 days ago
nvidia/NitroGen
liked
a dataset
21 days ago
HuggingFaceM4/FineVision
liked
a model
about 1 month ago
ibm-granite/granite-embedding-278m-multilingual
Organizations
replied to
their
post
6 months ago
replied to
their
post
6 months 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 👍
7 months ago
Post
2062
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!
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 👍
7 months ago
Post
1772
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
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 🚀
8 months ago
Post
3517
🧠 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?
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
8 months ago
Post
2867
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
8 months 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 🚀
8 months ago
Post
2883
🧬 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!
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 👀
8 months ago
Post
1910
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!
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
8 months ago
Post
548
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 👀
8 months ago
Post
2562
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
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 🔥
8 months ago
Post
4476
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.
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
8 months ago
Is the GPU offer still available? 😂
replied to
ProCreations's
post
8 months ago
@ProCreations relatable
reacted to
blaise-tk's
post with 🔥
8 months ago
Post
4864
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
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 🚀
8 months ago
Post
2892
✨ 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.
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.
replied to
their
post
8 months ago
I'm attempting to use a 7B LLM, Llama in this case, with an embedding head stuck on the end instead of the lm_head. I used an LLM to rank a ton of randomly selected pairs of papers based on if they have good connections, and trained the embedding head on triplets mined from those ranked pairs.
The idea is for the embedding head to learn to align features from paper abstracts that complement each other.
this is the first version and yeah, I'm not overly impressed. I think I'm seeing results that kinda vibe with the concept sometimes, but I think the ranking criteria for the dataset were a bit loose. I'm going to try making a new dataset with better, more strict, more nuanced criteria and train a second version of the model from that.
replied to
their
post
8 months ago
Thanks for letting me know. I've fixed the issue. Feel free to try again.
posted
an
update
8 months ago
Post
2190
I Did a Thing!
I made an embedding model to find answers in research papers. It goes deeper than plain "semantic search" by identifying deeply reasoned connections and interdisciplinary insights that might have been overlooked. The goal is to find the solutions that might have been missed and to uncover answers that are already out there.
I’ve set up a demo Space - https://huggingface.co/spaces/nomadicsynth/inkling . It’s early days, and I’d love some feedback on the model’s results. Try it out and let me know what you think!
Oh, and if it finds your Nobel-winning answer, I want a cut! 😉
I made an embedding model to find answers in research papers. It goes deeper than plain "semantic search" by identifying deeply reasoned connections and interdisciplinary insights that might have been overlooked. The goal is to find the solutions that might have been missed and to uncover answers that are already out there.
I’ve set up a demo Space - https://huggingface.co/spaces/nomadicsynth/inkling . It’s early days, and I’d love some feedback on the model’s results. Try it out and let me know what you think!
Oh, and if it finds your Nobel-winning answer, I want a cut! 😉
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- 6 replies
replied to
their
post
8 months ago
I think we can extract that Harvard knowledge and distribute it in the form of properly open models. Get them chatting with our LLMs and train on the collected knowledge. Mwahaha!
They do it to us, after all.