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1909
Enjoy seven seconds on what I have to say about companies that have hiring quotas and zero other plans to support underrepresented staff:
Emily Witko
EmilyWitko
AI & ML interests
Diversity, Equity, Inclusion, and Belonging @ Hugging Face
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10 days ago
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chiphuyen's
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over 1 year ago
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It feels awkward having my first post sharing my stuff, but this is a weekend project that I really enjoyed working on. I'd love to meet more people interested in random ideas like this.
A hard part of building AI applications is choosing which model to use. What if we donโt have to? What if we can predict the best model for any prompt?
Predictive human preference aims to predict which model users might prefer for a specific query.
https://huyenchip.com/2024/02/28/predictive-human-preference.html
One use case is model routing. If we know in advance that for a prompt, users will prefer Claude Instantโs response over GPT-4, and Claude Instant is cheaper/faster than GPT-4, we can route this prompt to Claude Instant. Model routing has the potential to increase response quality while reducing costs and latency.
One pattern is that for simple prompts, weak models can do (nearly) as well as strong models. For more challenging prompts, however, users are more likely to prefer stronger models. Hereโs a visualization of predicted human preference for an easy prompt (โhello, how are you?โ) and a challenging prompt (โExplain why Planc length โฆโ).
Preference predictors make it possible to create leaderboards unique to any prompt and domain.
A hard part of building AI applications is choosing which model to use. What if we donโt have to? What if we can predict the best model for any prompt?
Predictive human preference aims to predict which model users might prefer for a specific query.
https://huyenchip.com/2024/02/28/predictive-human-preference.html
One use case is model routing. If we know in advance that for a prompt, users will prefer Claude Instantโs response over GPT-4, and Claude Instant is cheaper/faster than GPT-4, we can route this prompt to Claude Instant. Model routing has the potential to increase response quality while reducing costs and latency.
One pattern is that for simple prompts, weak models can do (nearly) as well as strong models. For more challenging prompts, however, users are more likely to prefer stronger models. Hereโs a visualization of predicted human preference for an easy prompt (โhello, how are you?โ) and a challenging prompt (โExplain why Planc length โฆโ).
Preference predictors make it possible to create leaderboards unique to any prompt and domain.
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First post alert ๐จ
Super excited to share with you my first Chat assistant :
Chat with it from here : https://hf.co/chat/assistant/65bd0adc08560e58be454d86
It would be more helpful when the RAG / WEB features are available !
Looking forward to it ๐ฅ
ps : tnx @Chunte for the cool Huggies
Super excited to share with you my first Chat assistant :
HuggingAssist, meant to offer guidance with the large HuggingFace ecosystemChat with it from here : https://hf.co/chat/assistant/65bd0adc08560e58be454d86
It would be more helpful when the RAG / WEB features are available !
Looking forward to it ๐ฅ
ps : tnx @Chunte for the cool Huggies
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clem's
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Google + Hugging Face + Open-Source AI = ๐ฅ๐ฅ๐ฅ
https://huggingface.co/blog/gcp-partnership
https://finance.yahoo.com/video/google-hugging-face-alliance-spur-173016882.html
https://www.theverge.com/2024/1/25/24050445/google-cloud-hugging-face-ai-developer-access
https://www.bloomberg.com/news/articles/2024-01-25/google-to-team-up-with-startup-hugging-face-to-host-ai-software
https://www.reuters.com/technology/google-cloud-partners-with-hugging-face-attract-ai-developers-2024-01-25/
https://huggingface.co/blog/gcp-partnership
https://finance.yahoo.com/video/google-hugging-face-alliance-spur-173016882.html
https://www.theverge.com/2024/1/25/24050445/google-cloud-hugging-face-ai-developer-access
https://www.bloomberg.com/news/articles/2024-01-25/google-to-team-up-with-startup-hugging-face-to-host-ai-software
https://www.reuters.com/technology/google-cloud-partners-with-hugging-face-attract-ai-developers-2024-01-25/
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๐๐ฆ๐๐ซ๐๐๐๐ ๐๐ฒ ๐๐ฎ๐ ๐ ๐ข๐ง๐ ๐
๐๐๐: ๐ญ๐ก๐ ๐๐ง๐ฌ๐ข๐๐ ๐๐ญ๐จ๐ซ๐ฒ ๐จ๐ ๐๐ฎ๐ซ ๐๐ญ๐๐ซ๐ญ๐ฎ๐ฉโ๐ฌ ๐๐๐ช๐ฎ๐ข๐ฌ๐ข๐ญ๐ข๐จ๐ง
In late 2021, our team of five engineers, scattered around the globe, signed the papers to shut down our startup, Gradio. For many founders, this would have been a moment of sadness or even bitter reflection.
But we were celebrating. We were getting acquired by Hugging Face!
We had been working very hard towards this acquisition, but for weeks, the acquisition had been blocked by a single investor. The more we pressed him, the more he buckled down, refusing to sign off on the acquisition. Until, unexpectedly, the investor conceded, allowing us to join Hugging Face.
For the first time since our acquisition, Iโm writing down the story in detail, hoping that it may shed some light into the obscure world of startup acquisitions and what decisions founders can make to improve their odds for a successful acquisition.
To understand how we got acquired by Hugging Face, you need to know why we started Gradio.
๐๐ง ๐๐๐๐ ๐๐ซ๐จ๐ฆ ๐ญ๐ก๐ ๐๐๐๐ซ๐ญ
Two years before the acquisition, in early 2019, I was working on a research project at Stanford. It was the third year of my PhD, and my labmates and I had trained a machine learning model that could predict patient biomarkers (such as whether patients had certain diseases or an implanted pacemaker) from an ultrasound image of their heart โ as well as a cardiologist.
Naturally, cardiologists were skeptical... read the rest of the story here: https://twitter.com/abidlabs/status/1745533306492588303
In late 2021, our team of five engineers, scattered around the globe, signed the papers to shut down our startup, Gradio. For many founders, this would have been a moment of sadness or even bitter reflection.
But we were celebrating. We were getting acquired by Hugging Face!
We had been working very hard towards this acquisition, but for weeks, the acquisition had been blocked by a single investor. The more we pressed him, the more he buckled down, refusing to sign off on the acquisition. Until, unexpectedly, the investor conceded, allowing us to join Hugging Face.
For the first time since our acquisition, Iโm writing down the story in detail, hoping that it may shed some light into the obscure world of startup acquisitions and what decisions founders can make to improve their odds for a successful acquisition.
To understand how we got acquired by Hugging Face, you need to know why we started Gradio.
๐๐ง ๐๐๐๐ ๐๐ซ๐จ๐ฆ ๐ญ๐ก๐ ๐๐๐๐ซ๐ญ
Two years before the acquisition, in early 2019, I was working on a research project at Stanford. It was the third year of my PhD, and my labmates and I had trained a machine learning model that could predict patient biomarkers (such as whether patients had certain diseases or an implanted pacemaker) from an ultrasound image of their heart โ as well as a cardiologist.
Naturally, cardiologists were skeptical... read the rest of the story here: https://twitter.com/abidlabs/status/1745533306492588303
- 1 reply