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Realtime Whisper Turbo
Realtime implementation of Whisper large turbo
Stefan Smiljkovic PRO
shtefcs
AI & ML interests
Web Automation + AI
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#4 opened about 1 month ago
by
ednsinf
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reacted to
singhsidhukuldeep's
post with 👍
2 months ago
Post
2050
Are you tired of writing scripts to scrape data from the web? 😓
ScrapeGraphAI is here for you! 🎉
ScrapeGraphAI is an OPEN-SOURCE web scraping Python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, etc.). 🌐📊
Just say which information you want to extract (in human language) and the library will do it for you! 🗣️🚀
It supports GPT, Gemini, and open-source models like Mistral. 🔍
A few things that I could not find in the docs but would be amazing to see 🤞:
- Captcha handling 🔐
- Persistent data output formatting 📁
- Streaming output 📡
- Explanation😂 of the tag line: "ScrapeGraphAI: You Only Scrape Once" What does that even mean? 🤣 Is this YOLO? 🤔
Link: https://github.com/VinciGit00/Scrapegraph-ai
Demo code: https://github.com/amrrs/scrapegraph-code/blob/main/sourcegraph.ipynb
ScrapeGraphAI is here for you! 🎉
ScrapeGraphAI is an OPEN-SOURCE web scraping Python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, etc.). 🌐📊
Just say which information you want to extract (in human language) and the library will do it for you! 🗣️🚀
It supports GPT, Gemini, and open-source models like Mistral. 🔍
A few things that I could not find in the docs but would be amazing to see 🤞:
- Captcha handling 🔐
- Persistent data output formatting 📁
- Streaming output 📡
- Explanation😂 of the tag line: "ScrapeGraphAI: You Only Scrape Once" What does that even mean? 🤣 Is this YOLO? 🤔
Link: https://github.com/VinciGit00/Scrapegraph-ai
Demo code: https://github.com/amrrs/scrapegraph-code/blob/main/sourcegraph.ipynb
- 6 replies
This seems really useful to have on business websites.
reacted to
Felladrin's
post with 👍❤️🔥
2 months ago
Post
2856
MiniSearch is celebrating its 1st birthday! 🎉
Exactly one year ago, I shared the initial version of this side-project on Hugging Face. Since then, there have been numerous changes under the hood. Nowadays it uses [Web-LLM](https://github.com/mlc-ai/web-llm), [Wllama](https://github.com/ngxson/wllama) and [SearXNG](https://github.com/searxng/searxng). I use it daily as my default search engine and have done my best to make it useful. I hope it's interesting for you too!
HF Space: Felladrin/MiniSearch
Embeddable URL: https://felladrin-minisearch.hf.space
Exactly one year ago, I shared the initial version of this side-project on Hugging Face. Since then, there have been numerous changes under the hood. Nowadays it uses [Web-LLM](https://github.com/mlc-ai/web-llm), [Wllama](https://github.com/ngxson/wllama) and [SearXNG](https://github.com/searxng/searxng). I use it daily as my default search engine and have done my best to make it useful. I hope it's interesting for you too!
HF Space: Felladrin/MiniSearch
Embeddable URL: https://felladrin-minisearch.hf.space
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2 months ago
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wHy DoNt YoU jUsT uSe ThE lLaMa ToKeNiZeR??
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Excellent post Florent. Specially the graphic examples you provided.
Stefan Smiljkovic
Founder of https://automatio.ai
reacted to
fdaudens's
post with 🚀🤗🧠👀🔥
2 months ago
Post
3054
The Nobel Prize background for Hopfield and Hinton's work on neural networks is pure gold. It's a masterclass in explaining AI basics.
Key takeaways from the conclusion:
- ML applications are expanding rapidly. We're still figuring out which will stick.
- Ethical discussions are crucial as the tech develops.
- Physics 🤝 AI: A two-way street of innovation.
Some mind-blowing AI applications in physics:
- Discovering the Higgs particle
- Cleaning up gravitational wave data
- Hunting exoplanets
- Predicting molecular structures
- Designing better solar cells
We're just scratching the surface. The interplay between AI and physics is reshaping both fields.
Bonus: The illustrations accompanying the background document are really neat. (Credit: Johan Jarnestad/The Royal Swedish Academy of Sciences)
#AI #MachineLearning #Physics #Ethics #Innovation
Key takeaways from the conclusion:
- ML applications are expanding rapidly. We're still figuring out which will stick.
- Ethical discussions are crucial as the tech develops.
- Physics 🤝 AI: A two-way street of innovation.
Some mind-blowing AI applications in physics:
- Discovering the Higgs particle
- Cleaning up gravitational wave data
- Hunting exoplanets
- Predicting molecular structures
- Designing better solar cells
We're just scratching the surface. The interplay between AI and physics is reshaping both fields.
Bonus: The illustrations accompanying the background document are really neat. (Credit: Johan Jarnestad/The Royal Swedish Academy of Sciences)
#AI #MachineLearning #Physics #Ethics #Innovation
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- 1 reply