Team-ACE/ToolACE
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nomadicsynth PRO
nomadicsynth
AI & ML interests
architecture research, knowledge discovery
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liked
a dataset
about 1 month ago
Team-ACE/ToolACE
replied to
their
post
4 months ago
Anyone using AI and ML to help neurodivergent people? I'd love to hear what you're doing.
replied to
their
post
4 months ago
Anyone using AI and ML to help neurodivergent people? I'd love to hear what you're doing.
Organizations
liked
a
dataset
about 1 month ago
replied to
their
post
4 months ago
Interesting. Did you learn how the creator of the dataset synthesised it?
replied to
their
post
4 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)
liked
a
model
4 months ago
reacted to
jbilcke-hf's
post with 👍
5 months ago
Post
2026
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 👍
5 months ago
Post
1770
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 🚀
5 months ago
Post
3501
🧠 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?
reacted to
openfree's
post with 👀
5 months ago
Post
2875
🎙️ Voice Clone AI Podcast Generator: Create Emotionally Rich Podcasts with Your Own Voice!
🚀 Project Introduction
Hello! Today we're excited to introduce an AI-powered solo podcast generator that creates high-quality voice cloning with authentic emotional expression.
Transform any PDF document, web URL, or keyword into a professional podcast with just a few clicks! 📚➡️🎧
VIDraft/Voice-Clone-Podcast
✨ Key Features
1. 🎯 Multiple Input Methods
URL: Simply paste any blog or article link
PDF: Upload research papers or documents directly
Keyword: Enter a topic and AI searches for the latest information to create content
2. 🎭 Emotionally Expressive Voice Cloning
Powered by Chatterbox TTS:
🎤 Voice Cloning: Learn and replicate your unique voice perfectly
📢 Natural intonation and emotional expression
🌊 Customizable emotion intensity with Exaggeration control
⚡ Seamless handling of long texts with automatic chunking
3. 🤖 State-of-the-Art LLM Script Generation
Professional-grade English dialogue using Private-BitSix-Mistral
12 natural conversational exchanges
Real-time web search integration for up-to-date information
Fully editable generated scripts! ✏️
💡 Use Cases
📖 Educational Content
Transform complex research papers into easy-to-understand podcasts
Create English learning materials in your own voice
📰 News & Information
Convert international articles into engaging audio content
Produce global trend analysis podcasts
🎨 Creative Content
Tell stories in English with your own voice
Build your global personal brand with custom audio content
🛠️ Tech Stack
🧠 LLM: Llama CPP + Private-BitSix-Mistral
🗣️ TTS: Chatterbox (Voice Cloning & Emotional Expression)
🔍 Search: Brave Search API
📄 Document Processing: LangChain + PyPDF
🖥️ Interface: Gradio
🎉 What Makes Us Special
🎤 Voice Cloning: Perfect voice replication from just a short audio sample
😊 Emotion Contro 📏 Unlimited Length 🔄 Real-time Updates
🚀 Project Introduction
Hello! Today we're excited to introduce an AI-powered solo podcast generator that creates high-quality voice cloning with authentic emotional expression.
Transform any PDF document, web URL, or keyword into a professional podcast with just a few clicks! 📚➡️🎧
VIDraft/Voice-Clone-Podcast
✨ Key Features
1. 🎯 Multiple Input Methods
URL: Simply paste any blog or article link
PDF: Upload research papers or documents directly
Keyword: Enter a topic and AI searches for the latest information to create content
2. 🎭 Emotionally Expressive Voice Cloning
Powered by Chatterbox TTS:
🎤 Voice Cloning: Learn and replicate your unique voice perfectly
📢 Natural intonation and emotional expression
🌊 Customizable emotion intensity with Exaggeration control
⚡ Seamless handling of long texts with automatic chunking
3. 🤖 State-of-the-Art LLM Script Generation
Professional-grade English dialogue using Private-BitSix-Mistral
12 natural conversational exchanges
Real-time web search integration for up-to-date information
Fully editable generated scripts! ✏️
💡 Use Cases
📖 Educational Content
Transform complex research papers into easy-to-understand podcasts
Create English learning materials in your own voice
📰 News & Information
Convert international articles into engaging audio content
Produce global trend analysis podcasts
🎨 Creative Content
Tell stories in English with your own voice
Build your global personal brand with custom audio content
🛠️ Tech Stack
🧠 LLM: Llama CPP + Private-BitSix-Mistral
🗣️ TTS: Chatterbox (Voice Cloning & Emotional Expression)
🔍 Search: Brave Search API
📄 Document Processing: LangChain + PyPDF
🖥️ Interface: Gradio
🎉 What Makes Us Special
🎤 Voice Cloning: Perfect voice replication from just a short audio sample
😊 Emotion Contro 📏 Unlimited Length 🔄 Real-time Updates
- 1 reply
posted
an
update
5 months ago
Post
2860
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
5 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
liked
a
dataset
5 months ago
reacted to
codelion's
post with 🚀
5 months ago
Post
2872
🧬 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!
[bot] Conversion to Parquet
#1 opened 5 months ago
by
parquet-converter
updated
a
dataset
5 months ago
published
a
dataset
5 months ago
reacted to
ProCreations's
post with 👀
5 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!
reacted to
seawolf2357's
post with 👀
5 months ago
Post
6482
Samsung Hacking Incident: Samsung Electronics' Official Hugging Face Account Compromised
Samsung Electronics' official Hugging Face account has been hacked. Approximately 17 hours ago, two new language models (LLMs) were registered under Samsung Electronics' official Hugging Face account. These models are:
https://huggingface.co/Samsung/MuTokenZero2-32B
https://huggingface.co/Samsung/MythoMax-L2-13B
The model descriptions contain absurd and false claims, such as being trained on "1 million W200 GPUs," hardware that doesn't even exist.
Moreover, community participants on Hugging Face who have noticed this issue are continuously posting that Samsung Electronics' account has been compromised.
There is concern about potential secondary and tertiary damage if users download these LLMs released under the Samsung Electronics account, trusting Samsung's reputation without knowing about the hack.
Samsung Electronics appears to be unaware of this situation, as they have not taken any visible measures yet, such as changing the account password.
Source: https://discord.gg/openfreeai
Samsung Electronics' official Hugging Face account has been hacked. Approximately 17 hours ago, two new language models (LLMs) were registered under Samsung Electronics' official Hugging Face account. These models are:
https://huggingface.co/Samsung/MuTokenZero2-32B
https://huggingface.co/Samsung/MythoMax-L2-13B
The model descriptions contain absurd and false claims, such as being trained on "1 million W200 GPUs," hardware that doesn't even exist.
Moreover, community participants on Hugging Face who have noticed this issue are continuously posting that Samsung Electronics' account has been compromised.
There is concern about potential secondary and tertiary damage if users download these LLMs released under the Samsung Electronics account, trusting Samsung's reputation without knowing about the hack.
Samsung Electronics appears to be unaware of this situation, as they have not taken any visible measures yet, such as changing the account password.
Source: https://discord.gg/openfreeai
- 2 replies
posted
an
update
6 months ago
Post
543
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 👀
6 months ago
Post
2552
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 🔥
6 months ago
Post
4457
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.