phospho-ai/dataset_for_testing
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phospho
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Give brains to robots.
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oulianov
updated
a
dataset
about 10 hours ago
Post
1900
We fixed the LeRobot dataset format.
This is available today, in the open-source version of phospho. Still is 100% compatible with LeRobot.
The LeRobot dataset by HuggingFace and Remi Cadene is becoming a standard to create robotics datasets. But working with it can rapidly become a nightmare:
- you can't delete a faulty episode. Failed a demo? Finito.
- you can't merge datasets
- you can't split datasets
So we fixed it.
Now, in the dashboard or in Python, using phospho you can:
- repair corrupted LeRobot datasets
- delete episodes from a dataset
- merge datasets
- split datasets
Still is 100% compatible with LeRobot.
Available today, in the open-source version of phospho: https://github.com/phospho-app/phosphobot
Bigger datasets, better models!
This is available today, in the open-source version of phospho. Still is 100% compatible with LeRobot.
The LeRobot dataset by HuggingFace and Remi Cadene is becoming a standard to create robotics datasets. But working with it can rapidly become a nightmare:
- you can't delete a faulty episode. Failed a demo? Finito.
- you can't merge datasets
- you can't split datasets
So we fixed it.
Now, in the dashboard or in Python, using phospho you can:
- repair corrupted LeRobot datasets
- delete episodes from a dataset
- merge datasets
- split datasets
Still is 100% compatible with LeRobot.
Available today, in the open-source version of phospho: https://github.com/phospho-app/phosphobot
Bigger datasets, better models!
Post
2003
⚠️ People selling AI chatbots for websites hate us.
Add an open source chat assistant on your website in 5 minutes: https://github.com/phospho-app/ai-chat-bubble
How does it work ?
- You give an URL
- The AI assistant crawls the website content and embed it
- Add it to your frontend in one line of code
- People on your website can ask the assistant questions
Powered by BAAI/bge-small-en-v1.5 and Mistral AI
Add an open source chat assistant on your website in 5 minutes: https://github.com/phospho-app/ai-chat-bubble
How does it work ?
- You give an URL
- The AI assistant crawls the website content and embed it
- Add it to your frontend in one line of code
- People on your website can ask the assistant questions
Powered by BAAI/bge-small-en-v1.5 and Mistral AI
- 5 replies
Post
393
📈 Increase the quality of your RAG with a simple Linear Layer! No need to change your embedding model (keep that old OpenAI API).
Introducing EmbeddingAlign RAG, a novel approach to improve Retrieval-Augmented Generation (RAG) systems.
Key highlights:
- Uses a simple linear transformation on existing embeddings
- Boosts hit rate from 89% to 95% on real-world examples
- Minor increase on latency (less than 10ms)
- Works on top of blackbox embedding models (Mistral AI, OpenAI, Cohere,...)
- No dataset needed (just your documents)
- Train easily on CPU
🤗 Read the full article here on HF: https://huggingface.co/blog/PLB/embedding-align-rag
Introducing EmbeddingAlign RAG, a novel approach to improve Retrieval-Augmented Generation (RAG) systems.
Key highlights:
- Uses a simple linear transformation on existing embeddings
- Boosts hit rate from 89% to 95% on real-world examples
- Minor increase on latency (less than 10ms)
- Works on top of blackbox embedding models (Mistral AI, OpenAI, Cohere,...)
- No dataset needed (just your documents)
- Train easily on CPU
🤗 Read the full article here on HF: https://huggingface.co/blog/PLB/embedding-align-rag
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- 2 replies
flams
updated
a
dataset
10 months ago
PLB
updated
a
model
about 1 year ago