Post
815
the french ministry of culture releases their first conversation datasets on huggingface 👇🏻
ministere-culture/comparia-conversations
ministere-culture/comparia-conversations
AI & ML interests
None defined yet.
Post
709
COMPUTER CONTROL IS ON-DEVICE !
🏡🤖 78 % of EU smart-home owners DON’T trust cloud voice assistants.
So we killed the cloud.
Meet Exté: a palm-sized Android device that sees, hears & speaks your language - 100 % offline, 0 % data sent anywhere.
🔓 We submitted our technologies for consideration to the Liquid AI hackathon.
📊 Dataset: 79 k UI-action pairs on Hugging Face (largest Android-control corpus ever) Tonic/android-operator-episodes
⚡ Model: 98 % task accuracy, 678MB compressed , fits on existing android devices ! Tonic/l-android-control
🛤️ Experiment Tracker : check out the training on our TrackioApp Tonic/l-android-control
🎮 Live Model Demo: Upload an Android Screenshot and instructions to see the model in action ! Tonic/l-operator-demo
Built in a garage, funded by pre-orders, no VC. Now we’re scaling to 1 k installer units.
We’re giving 50 limited-edition prototypes to investors , installers & researchers who want to co-design the sovereign smart home.
👇 Drop “EUSKERA” in the comments if you want an invite, tag a friend who still thinks Alexa is “convenient,” and smash ♥️ if AI should belong to people - not servers.
🏡🤖 78 % of EU smart-home owners DON’T trust cloud voice assistants.
So we killed the cloud.
Meet Exté: a palm-sized Android device that sees, hears & speaks your language - 100 % offline, 0 % data sent anywhere.
🔓 We submitted our technologies for consideration to the Liquid AI hackathon.
📊 Dataset: 79 k UI-action pairs on Hugging Face (largest Android-control corpus ever) Tonic/android-operator-episodes
⚡ Model: 98 % task accuracy, 678MB compressed , fits on existing android devices ! Tonic/l-android-control
🛤️ Experiment Tracker : check out the training on our TrackioApp Tonic/l-android-control
🎮 Live Model Demo: Upload an Android Screenshot and instructions to see the model in action ! Tonic/l-operator-demo
Built in a garage, funded by pre-orders, no VC. Now we’re scaling to 1 k installer units.
We’re giving 50 limited-edition prototypes to investors , installers & researchers who want to co-design the sovereign smart home.
👇 Drop “EUSKERA” in the comments if you want an invite, tag a friend who still thinks Alexa is “convenient,” and smash ♥️ if AI should belong to people - not servers.
Post
692
🙋🏻♂️ Hey there folks ,
Just wanted to annouce 🏭SmolFactory : it's the quickest and best way to finetune SmolLM3 and GPT-OSS-20B on huggingface !
Basicaly it's an app you can run on huggingface by duplicating the space and running your training directly on huggingface GPUs .
It will help you basically select datasets and models, fine tune your model , make an experiment tracker you can use on your mobile phone , push all your model card and even automatically make a demo for you on huggingface so you can directly test it out when it's done !
check out the blog to learn more : https://huggingface.co/blog/Tonic/smolfactory
or just try the app directly :
Tonic/SmolFactory
you can vibe check the cool models I made :
French SmolLM3 : Tonic/Petite-LLM-3
Medical GPT-OSS : Tonic/med-gpt-oss-20b-demo
check out the model cards :
multilingual reasoner (gpt-oss) - Tonic/gpt-oss-20b-multilingual-reasoner
med-gpt-oss : Tonic/med-gpt-oss-20b
petite-elle-l-aime : Tonic/petite-elle-L-aime-3-sft
github repo if you like command line more than gradio : https://github.com/josephrp/smolfactory
drop some likes on these links it's really much appreciated !
feedback and PRs are welcome !
Just wanted to annouce 🏭SmolFactory : it's the quickest and best way to finetune SmolLM3 and GPT-OSS-20B on huggingface !
Basicaly it's an app you can run on huggingface by duplicating the space and running your training directly on huggingface GPUs .
It will help you basically select datasets and models, fine tune your model , make an experiment tracker you can use on your mobile phone , push all your model card and even automatically make a demo for you on huggingface so you can directly test it out when it's done !
check out the blog to learn more : https://huggingface.co/blog/Tonic/smolfactory
or just try the app directly :
Tonic/SmolFactory
you can vibe check the cool models I made :
French SmolLM3 : Tonic/Petite-LLM-3
Medical GPT-OSS : Tonic/med-gpt-oss-20b-demo
check out the model cards :
multilingual reasoner (gpt-oss) - Tonic/gpt-oss-20b-multilingual-reasoner
med-gpt-oss : Tonic/med-gpt-oss-20b
petite-elle-l-aime : Tonic/petite-elle-L-aime-3-sft
github repo if you like command line more than gradio : https://github.com/josephrp/smolfactory
drop some likes on these links it's really much appreciated !
feedback and PRs are welcome !
ImranzamanML
posted
an
update
3 months ago
Post
592
# Runway Aleph: The Future of AI Video Editing
Runway’s new **Aleph** model lets you *transform*, *edit*, and *generate* video from existing footage using just text prompts.
You can remove objects, change environments, restyle shots, alter lighting, and even create entirely new camera angles, all in one tool.
## Key Links
- 🔬 [Introducing Aleph (Runway Research)](https://runwayml.com/research/introducing-runway-aleph)
- 📖 [Aleph Prompting Guide (Runway Help Center)](https://help.runwayml.com/hc/en-us/articles/43277392678803-Aleph-Prompting-Guide)
- 🎬 [How to Transform Videos (Runway Academy)](https://academy.runwayml.com/aleph/how-to-transform-videos)
- 📰 [Gadgets360 Coverage](https://www.gadgets360.com/ai/news/runway-aleph-ai-video-editing-generation-model-post-production-unveiled-8965180)
- 🎥 [YouTube Demo: ALEPH by Runway](https://www.youtube.com/watch?v=PPerCtyIKwA)
- 📰 [Runway Alpha dataset]( Rapidata/text-2-video-human-preferences-runway-alpha)
## Prompt Tips
1. Be clear and specific (e.g., _“Change to snowy night, keep people unchanged”_).
2. Use action verbs like _add, remove, restyle, relight_.
3. Add reference images for style or lighting.
Aleph shifts AI video from *text-to-video* to *video-to-video*, making post-production faster, more creative, and more accessible than ever.
Runway’s new **Aleph** model lets you *transform*, *edit*, and *generate* video from existing footage using just text prompts.
You can remove objects, change environments, restyle shots, alter lighting, and even create entirely new camera angles, all in one tool.
## Key Links
- 🔬 [Introducing Aleph (Runway Research)](https://runwayml.com/research/introducing-runway-aleph)
- 📖 [Aleph Prompting Guide (Runway Help Center)](https://help.runwayml.com/hc/en-us/articles/43277392678803-Aleph-Prompting-Guide)
- 🎬 [How to Transform Videos (Runway Academy)](https://academy.runwayml.com/aleph/how-to-transform-videos)
- 📰 [Gadgets360 Coverage](https://www.gadgets360.com/ai/news/runway-aleph-ai-video-editing-generation-model-post-production-unveiled-8965180)
- 🎥 [YouTube Demo: ALEPH by Runway](https://www.youtube.com/watch?v=PPerCtyIKwA)
- 📰 [Runway Alpha dataset]( Rapidata/text-2-video-human-preferences-runway-alpha)
## Prompt Tips
1. Be clear and specific (e.g., _“Change to snowy night, keep people unchanged”_).
2. Use action verbs like _add, remove, restyle, relight_.
3. Add reference images for style or lighting.
Aleph shifts AI video from *text-to-video* to *video-to-video*, making post-production faster, more creative, and more accessible than ever.
asvs
authored
3
papers
3 months ago
1024m
authored
a
paper
3 months ago
ImranzamanML
posted
an
update
3 months ago
Post
767
OpenAI has launched GPT-5, a significant leap forward in AI technology that is now available to all users. The new model unifies all of OpenAI's previous developments into a single, cohesive system that automatically adapts its approach based on the complexity of the user's request. This means it can prioritize speed for simple queries or engage a deeper reasoning model for more complex problems, all without the user having to manually switch settings.
Key Features and Improvements
Unified System: GPT-5 combines various models into one interface, intelligently selecting the best approach for each query.
Enhanced Coding: It's being hailed as the "strongest coding model to date," with the ability to create complex, responsive websites and applications from a single prompt.
PhD-level Reasoning: According to CEO Sam Altman, GPT-5 offers a significant jump in reasoning ability, with a much lower hallucination rate. It also performs better on academic and human-evaluated benchmarks.
New Personalities: Users can now select from four preset personalities—Cynic, Robot, Listener and Nerd to customize their chat experience.
Advanced Voice Mode: The voice mode has been improved to sound more natural and adapt its speech based on the context of the conversation.
https://openai.com/index/introducing-gpt-5/
https://openai.com/gpt-5/
Key Features and Improvements
Unified System: GPT-5 combines various models into one interface, intelligently selecting the best approach for each query.
Enhanced Coding: It's being hailed as the "strongest coding model to date," with the ability to create complex, responsive websites and applications from a single prompt.
PhD-level Reasoning: According to CEO Sam Altman, GPT-5 offers a significant jump in reasoning ability, with a much lower hallucination rate. It also performs better on academic and human-evaluated benchmarks.
New Personalities: Users can now select from four preset personalities—Cynic, Robot, Listener and Nerd to customize their chat experience.
Advanced Voice Mode: The voice mode has been improved to sound more natural and adapt its speech based on the context of the conversation.
https://openai.com/index/introducing-gpt-5/
https://openai.com/gpt-5/
ImranzamanML
posted
an
update
3 months ago
Post
298
All key links to OpenAI open sourced GPT OSS models (117B and 21B) which are released under apache 2.0. Here is a quick guide to explore and build with them:
Intro & vision: https://openai.com/index/introducing-gpt-oss
Model specs & license: https://openai.com/index/gpt-oss-model-card/
Dev overview: https://cookbook.openai.com/topic/gpt-oss
How to run via vLLM: https://cookbook.openai.com/articles/gpt-oss/run-vllm
Harmony I/O format: https://github.com/openai/harmony
Reference PyTorch code: https://github.com/openai/gpt-oss?tab=readme-ov-file#reference-pytorch-implementation
Community site: https://gpt-oss.com/
Lets deep dive with OpenAI models now 😊
#OpenSource #AI #GPTOSS #OpenAI #LLM #Python #GenAI
Intro & vision: https://openai.com/index/introducing-gpt-oss
Model specs & license: https://openai.com/index/gpt-oss-model-card/
Dev overview: https://cookbook.openai.com/topic/gpt-oss
How to run via vLLM: https://cookbook.openai.com/articles/gpt-oss/run-vllm
Harmony I/O format: https://github.com/openai/harmony
Reference PyTorch code: https://github.com/openai/gpt-oss?tab=readme-ov-file#reference-pytorch-implementation
Community site: https://gpt-oss.com/
Lets deep dive with OpenAI models now 😊
#OpenSource #AI #GPTOSS #OpenAI #LLM #Python #GenAI
1024m
authored
a
paper
3 months ago
ImranzamanML
posted
an
update
3 months ago
Post
3522
Finaly OpenAI is open to share open-source models after GPT2-2019.
gpt-oss-120b
gpt-oss-20b
openai/gpt-oss-120b
#AI #GPT #LLM #Openai
gpt-oss-120b
gpt-oss-20b
openai/gpt-oss-120b
#AI #GPT #LLM #Openai
- 1 reply
Post
3602
🫡 I am the first and only one to like the French Tax Code Dataset
that's it , that's the post
find the dataset here : louisbrulenaudet/code-impots
follow : @louisbrulenaudet
that's it , that's the post
find the dataset here : louisbrulenaudet/code-impots
follow : @louisbrulenaudet
- 3 replies
ImranzamanML
posted
an
update
4 months ago
Post
317
Working of Transformer model layers!
I focused on showing the core steps side by side with tokenization, embedding and the transformer model layers, each highlighting the self attention and feedforward parts without getting lost in too much technical depth.
Its showing how these layers work together to understand context and generate meaningful output!
If you are curious about the architecture behind AI language models or want a clean way to explain it, hit me up, I’d love to share!
#AI #MachineLearning #NLP #Transformers #DeepLearning #DataScience #LLM #AIAgents
I focused on showing the core steps side by side with tokenization, embedding and the transformer model layers, each highlighting the self attention and feedforward parts without getting lost in too much technical depth.
Its showing how these layers work together to understand context and generate meaningful output!
If you are curious about the architecture behind AI language models or want a clean way to explain it, hit me up, I’d love to share!
#AI #MachineLearning #NLP #Transformers #DeepLearning #DataScience #LLM #AIAgents
ImranzamanML
posted
an
update
4 months ago
Post
1670
Hugging Face just made life easier with the new hf CLI!
huggingface-cli to hf
With renaming the CLI, there are new features added like hf jobs. We can now run any script or Docker image on dedicated Hugging Face infrastructure with a simple command. It's a good addition for running experiments and jobs on the fly.
To get started, just run:
pip install -U huggingface_hub
List of hf CLI Commands
Main Commands
hf auth: Manage authentication (login, logout, etc.).
hf cache: Manage the local cache directory.
hf download: Download files from the Hub.
hf jobs: Run and manage Jobs on the Hub.
hf repo: Manage repos on the Hub.
hf upload: Upload a file or a folder to the Hub.
hf version: Print information about the hf version.
hf env: Print information about the environment.
Authentication Subcommands (hf auth)
login: Log in using a Hugging Face token.
logout: Log out of your account.
whoami: See which account you are logged in as.
switch: Switch between different stored access tokens/profiles.
list: List all stored access tokens.
Jobs Subcommands (hf jobs)
run: Run a Job on Hugging Face infrastructure.
inspect: Display detailed information on one or more Jobs.
logs: Fetch the logs of a Job.
ps: List running Jobs.
cancel: Cancel a Job.
hashtag#HuggingFace hashtag#MachineLearning hashtag#AI hashtag#DeepLearning hashtag#MLTools hashtag#MLOps hashtag#OpenSource hashtag#Python hashtag#DataScience hashtag#DevTools hashtag#LLM hashtag#hfCLI hashtag#GenerativeAI
huggingface-cli to hf
With renaming the CLI, there are new features added like hf jobs. We can now run any script or Docker image on dedicated Hugging Face infrastructure with a simple command. It's a good addition for running experiments and jobs on the fly.
To get started, just run:
pip install -U huggingface_hub
List of hf CLI Commands
Main Commands
hf auth: Manage authentication (login, logout, etc.).
hf cache: Manage the local cache directory.
hf download: Download files from the Hub.
hf jobs: Run and manage Jobs on the Hub.
hf repo: Manage repos on the Hub.
hf upload: Upload a file or a folder to the Hub.
hf version: Print information about the hf version.
hf env: Print information about the environment.
Authentication Subcommands (hf auth)
login: Log in using a Hugging Face token.
logout: Log out of your account.
whoami: See which account you are logged in as.
switch: Switch between different stored access tokens/profiles.
list: List all stored access tokens.
Jobs Subcommands (hf jobs)
run: Run a Job on Hugging Face infrastructure.
inspect: Display detailed information on one or more Jobs.
logs: Fetch the logs of a Job.
ps: List running Jobs.
cancel: Cancel a Job.
hashtag#HuggingFace hashtag#MachineLearning hashtag#AI hashtag#DeepLearning hashtag#MLTools hashtag#MLOps hashtag#OpenSource hashtag#Python hashtag#DataScience hashtag#DevTools hashtag#LLM hashtag#hfCLI hashtag#GenerativeAI
- 1 reply
ImranzamanML
authored
a
paper
4 months ago
Post
813
👋 Hey there folks,
just submitted my plugin idea to the G-Assist Plugin Hackathon by @nvidia . Check it out, it's a great way to use a local SLA model on a windows machine to easily and locally get things done ! https://github.com/NVIDIA/G-Assist
just submitted my plugin idea to the G-Assist Plugin Hackathon by @nvidia . Check it out, it's a great way to use a local SLA model on a windows machine to easily and locally get things done ! https://github.com/NVIDIA/G-Assist
Post
631
🙋🏻♂️ Hey there folks ,
Yesterday , Nvidia released a reasoning model that beats o3 on science, math and coding !
Today you can try it out here : Tonic/Nvidia-OpenReasoning
hope you like it !
Yesterday , Nvidia released a reasoning model that beats o3 on science, math and coding !
Today you can try it out here : Tonic/Nvidia-OpenReasoning
hope you like it !
Post
3388
🙋🏻♂️ Normalize adding compute & runtime traces to your model cards
- 2 replies
Post
538
Who's going to Raise Summit in Paris Tomorrow ?
If you're around , I would love to meet you :-)
If you're around , I would love to meet you :-)