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Valeriia Kuka

valeriiakuka
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AI & ML interests

Learning AI & ML daily and making it more accessible through clear, concise, and exciting content.

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reacted to fdaudens's post with 🔥 18 days ago
Want to ramp up your AI skills and start breaking bigger stories? With the Journalists on Hugging Face community, we're launching our first learn-together course! We'll build AI classifiers that process months of data in minutes. How? - Work through an interactive version of an excellent course developed by Ben Welsh and Derek Willis - Share findings and get help in our dedicated community channel - Build working classifiers you can use in your reporting today No coding background needed - if you can write a ChatGPT or Claude prompt, you can do this. Journalists are already using these techniques to break stories, from uncovering hidden real estate deals to tracking unusual campaign spending. Join us—it might give you your next big story! Thanks to Ben and Derek for letting me adapt their excellent course into this interactive version! - Check out the course: https://huggingface.co/spaces/JournalistsonHF/first-llm-classifier - Join our Slack community to learn together: https://docs.google.com/forms/d/e/1FAIpQLSfyA7G6Y9q-5hDBSnGc3CFtg9H8fjqKCCuieptXuTqRudGNjQ/viewform
updated a collection 24 days ago
Learn Prompting Research Papers
updated a collection 24 days ago
Learn Prompting Research Papers
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valeriiakuka's activity

reacted to fdaudens's post with 🔥 18 days ago
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Want to ramp up your AI skills and start breaking bigger stories? With the Journalists on Hugging Face community, we're launching our first learn-together course!

We'll build AI classifiers that process months of data in minutes. How?

- Work through an interactive version of an excellent course developed by Ben Welsh and Derek Willis
- Share findings and get help in our dedicated community channel
- Build working classifiers you can use in your reporting today

No coding background needed - if you can write a ChatGPT or Claude prompt, you can do this. Journalists are already using these techniques to break stories, from uncovering hidden real estate deals to tracking unusual campaign spending.

Join us—it might give you your next big story!

Thanks to Ben and Derek for letting me adapt their excellent course into this interactive version!

- Check out the course: JournalistsonHF/first-llm-classifier

- Join our Slack community to learn together: https://docs.google.com/forms/d/e/1FAIpQLSfyA7G6Y9q-5hDBSnGc3CFtg9H8fjqKCCuieptXuTqRudGNjQ/viewform
updated 2 collections 24 days ago
upvoted 2 articles about 1 month ago
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π0 and π0-FAST: Vision-Language-Action Models for General Robot Control

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SmolVLM Grows Smaller – Introducing the 250M & 500M Models!

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upvoted 4 papers about 2 months ago
upvoted a paper 2 months ago
reacted to clem's post with 🚀 5 months ago
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Six predictions for AI in 2025 (and a review of how my 2024 predictions turned out):

- There will be the first major public protest related to AI
- A big company will see its market cap divided by two or more because of AI
- At least 100,000 personal AI robots will be pre-ordered
- China will start to lead the AI race (as a consequence of leading the open-source AI race).
- There will be big breakthroughs in AI for biology and chemistry.
- We will begin to see the economic and employment growth potential of AI, with 15M AI builders on Hugging Face.

How my predictions for 2024 turned out:

- A hyped AI company will go bankrupt or get acquired for a ridiculously low price
✅ (Inflexion, AdeptAI,...)

- Open-source LLMs will reach the level of the best closed-source LLMs
✅ with QwQ and dozens of others

- Big breakthroughs in AI for video, time-series, biology and chemistry
✅ for video 🔴for time-series, biology and chemistry

- We will talk much more about the cost (monetary and environmental) of AI
✅Monetary 🔴Environmental (😢)

- A popular media will be mostly AI-generated
✅ with NotebookLM by Google

- 10 millions AI builders on Hugging Face leading to no increase of unemployment
🔜currently 7M of AI builders on Hugging Face
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liked a Space 5 months ago
upvoted an article 12 months ago
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Mixture of Experts Explained

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reacted to chiphuyen's post with ❤️ about 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 don’t 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 Instant’s 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. Here’s a visualization of predicted human preference for an easy prompt (“hello, how are you?”) and a challenging prompt (“Explain why Planc length …”).

Preference predictors make it possible to create leaderboards unique to any prompt and domain.
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