Everyone Can Optimise AI Models and Make Them Faster, Smaller, Cheaper, Greener
β’
10
Pruna AI
Enterprise
company
AI & ML interests
Efficient machine learning for any model and hardware: pruning, quantization, compilation, and more.
Recent Activity
View all activity
Articles
PrunaAI's activity
Upload folder using huggingface_hub
2
#5 opened 5 days ago
by
sharpenb
Upload folder using huggingface_hub
2
#3 opened 5 days ago
by
sharpenb
Upload folder using huggingface_hub
2
#2 opened 5 days ago
by
sharpenb
Upload folder using huggingface_hub
2
#6 opened 5 days ago
by
sharpenb
Upload folder using huggingface_hub
2
#3 opened 5 days ago
by
sharpenb
Upload folder using huggingface_hub
2
#9 opened 5 days ago
by
sharpenb
Upload folder using huggingface_hub
2
#2 opened 5 days ago
by
sharpenb
Upload folder using huggingface_hub
2
#3 opened 5 days ago
by
sharpenb
Upload folder using huggingface_hub
2
#5 opened 5 days ago
by
sharpenb
Upload folder using huggingface_hub
2
#3 opened 5 days ago
by
sharpenb
davidberenstein1957Β
posted
an
update
15 days ago
Post
2050
π¨ New Bonus Unit: Tracing & Evaluating Your Agent! π¨
Learn how to transform your agent from a simple demo into a robust, reliable product ready for real users.
UNIT: https://huggingface.co/learn/agents-course/bonus-unit2/introduction
In this unit, you'll learn:
- Offline Evaluation β Benchmark and iterate your agent using datasets.
- Online Evaluation β Continuously track key metrics such as latency, costs, and user feedback.
Happy testing and improving!
Thanks Langfuse team!
Learn how to transform your agent from a simple demo into a robust, reliable product ready for real users.
UNIT: https://huggingface.co/learn/agents-course/bonus-unit2/introduction
In this unit, you'll learn:
- Offline Evaluation β Benchmark and iterate your agent using datasets.
- Online Evaluation β Continuously track key metrics such as latency, costs, and user feedback.
Happy testing and improving!
Thanks Langfuse team!
Post
3070
We open-sourced the
- Github repo: https://github.com/PrunaAI/pruna
- Documentation: https://docs.pruna.ai/en/stable/index.html
With open-sourcing, people can now inspect and contribute to the open code. Beyond the code, we provide detailed readme, tutorials, benchmarks, and documentation to make transparent compression, evaluation, and saving/loading/serving of AI models.
Happy to share it with you and always interested in collecting your feedback :)
pruna package that can be easily installed with pip install pruna :) It allows to easily ccompress and evaluate AI models including transformers and diffusers.- Github repo: https://github.com/PrunaAI/pruna
- Documentation: https://docs.pruna.ai/en/stable/index.html
With open-sourcing, people can now inspect and contribute to the open code. Beyond the code, we provide detailed readme, tutorials, benchmarks, and documentation to make transparent compression, evaluation, and saving/loading/serving of AI models.
Happy to share it with you and always interested in collecting your feedback :)
- 1 reply
davidberenstein1957Β
posted
an
update
about 1 month ago
Post
2399
π₯ Text2SQL, explore and share any data analysis!
π€ Hugging Face - Dataset Studio is an amazing new feature.
π Start yourself: fka/awesome-chatgpt-prompts
πΊ YouTube: https://youtu.be/5LUZq7MHolA?feature=shared
π€ Hugging Face - Dataset Studio is an amazing new feature.
π Start yourself: fka/awesome-chatgpt-prompts
πΊ YouTube: https://youtu.be/5LUZq7MHolA?feature=shared
davidberenstein1957Β
posted
an
update
about 1 month ago
Post
4236
π₯ Epic Agent Framework Showdown! Available today!
π΅ In the blue corner, the versatile challenger with a proven track record of knowledge retrieval: LlamaIndex!
π In the red corner, the defender, weighing in with lightweight efficiency: Hugging Face smolagents!
π URL:
agents-course
We just published the LlamaIndex unit for the agents course, and it is set to offer a great contrast between the smolagents unit by looking at
- What makes llama-index stand-out
- How the LlamaHub is used for integrations
- Creating QueryEngine components
- Using agents and tools
- Agentic and multi-agent workflows
The team has been working flat-out on this for a few weeks. Supported by Logan Markewich and Laurie Voss over at LlamaIndex.
Who won? You decide!
π΅ In the blue corner, the versatile challenger with a proven track record of knowledge retrieval: LlamaIndex!
π In the red corner, the defender, weighing in with lightweight efficiency: Hugging Face smolagents!
π URL:
agents-course
We just published the LlamaIndex unit for the agents course, and it is set to offer a great contrast between the smolagents unit by looking at
- What makes llama-index stand-out
- How the LlamaHub is used for integrations
- Creating QueryEngine components
- Using agents and tools
- Agentic and multi-agent workflows
The team has been working flat-out on this for a few weeks. Supported by Logan Markewich and Laurie Voss over at LlamaIndex.
Who won? You decide!
davidberenstein1957Β
posted
an
update
about 1 month ago
Post
3035
π«Έ New release to push vector search to the Hub with vicinity and work with any serialisable objects.
π§βπ« KNN, HNSW, USEARCH, ANNOY, PYNNDESCENT, FAISS, and VOYAGER.
π Example Repo: minishlab/my-vicinity-repo
π§βπ« KNN, HNSW, USEARCH, ANNOY, PYNNDESCENT, FAISS, and VOYAGER.
π Example Repo: minishlab/my-vicinity-repo
davidberenstein1957Β
posted
an
update
about 2 months ago
Post
3304
π Find banger tools for your smolagents!
I created the Tools gallery, which makes tools specifically developed by/for smolagents searchable and visible. This will help with:
- inspiration
- best practices
- finding cool tools
Space: davidberenstein1957/smolagents-and-tools
I created the Tools gallery, which makes tools specifically developed by/for smolagents searchable and visible. This will help with:
- inspiration
- best practices
- finding cool tools
Space: davidberenstein1957/smolagents-and-tools
- 1 reply
davidberenstein1957Β
posted
an
update
about 2 months ago
Post
2483
Fine-tune Deepseek-R1 with a Synthetic Reasoning Dataset
Blog: https://huggingface.co/blog/sdiazlor/fine-tune-deepseek-with-a-synthetic-reasoning-data
Blog: https://huggingface.co/blog/sdiazlor/fine-tune-deepseek-with-a-synthetic-reasoning-data
Post
534
How to deploy compressed ML models in your pipeline?
We wrote a series of blogs on this topics. Hope that it can be helpful to people:
- Standard Model Compression in ML Pipeline: https://www.pruna.ai/blog/standard-model-compression-ml-pipeline
- Boost Your Replicate Models with Pruna AI: A Step-by-Step Guide: https://www.pruna.ai/blog/guide-replicate-pruna-ai
- Pruna + Triton: A Winning Combination for High-Performance AI Deployments: https://www.pruna.ai/blog/pruna-triton-combination
Feel free to join our discord (https://discord.com/invite/rskEr4BZJx) if you have questions ;)
We wrote a series of blogs on this topics. Hope that it can be helpful to people:
- Standard Model Compression in ML Pipeline: https://www.pruna.ai/blog/standard-model-compression-ml-pipeline
- Boost Your Replicate Models with Pruna AI: A Step-by-Step Guide: https://www.pruna.ai/blog/guide-replicate-pruna-ai
- Pruna + Triton: A Winning Combination for High-Performance AI Deployments: https://www.pruna.ai/blog/pruna-triton-combination
Feel free to join our discord (https://discord.com/invite/rskEr4BZJx) if you have questions ;)
davidberenstein1957Β
posted
an
update
2 months ago
Post
2079
Agentic RAG: Applied, visual, and step-by-step! πΎ
Get familiar with the Agents and tools, not the bells and whistles!
Retrieve - Augment and now GENERATE.
part 3: https://huggingface.co/blog/davidberenstein1957/ai-blueprint-agentic-rag-part-3-generate
Get familiar with the Agents and tools, not the bells and whistles!
Retrieve - Augment and now GENERATE.
part 3: https://huggingface.co/blog/davidberenstein1957/ai-blueprint-agentic-rag-part-3-generate