*whispers in your hear*: they don't either
@clementdelangue
-
Making AI Girlfriends: The Next Frontier in Conversational AI
By
–
now we have to make it an AI girlfriend to really go full circle
-
Llama3 Autotraining Now Available on NVIDIA DGX Cloud
By
–
You can already autotrain (no code needed) Llama3 on @nvidia DGX cloud thanks to our new integration
-
Llama3 Now Available on Major Cloud AI Platforms
By
–
Not everyone is aware but the fact that llama3 has been added to HF on day one means that right away, you can easily run it on @aws Sagemaker, @microsoft AzureML, @googlecloud Vertex and the @huggingface hosted solutions (autotrain, spaces, serverless and dedicated endpoints).
-
Leveraging Hugging Face Hub and Community for AI Projects
By
–
Very cool! Should find a way to take advantage of the hf hub or community!
-
Choosing the Right AI Model for Your Specific Use Case
By
–
Just like there is no best code repo, THERE ARE NO BEST AI MODELS as each use-case is different and each company has its own constraints. It's all about finding the right model or architecture for your specific situation, which is IMO an important part of the job of any AI
-
Create Time-Series Leaderboard on Hugging Face
By
–
very cool! you should create a time-series leaderboard on HF similar to https://
huggingface.co/collections/cl
efourrier/leaderboards-and-benchmarks-64f99d2e11e92ca5568a7cce
…! -
Technology Systems Exist on Centralization Gradient
By
–
It's a valid question! My opinion is that technology systems are never 100% concentrated or 100% decentralized, it's always a gradient & potentially evolving really fast for an emerging tech like AI. In that context, we're kind of helping the field move towards more
-
New Fine-Tuned AI Models Released Every 6 Minutes
By
–
Haven't run the calculation ourselves but according to this tweet, a new fine-tuned model is released on HF EVERY 6 MINUTES! And that's not counting the private models (~2x more).
