We want to use last techniques learned from Machine learning and apply them to #CyberSecurity field.
If you have a simple blog, an online store or a complex API, we have smart solutions for you.
#ML
Finally ! Now you can inspect the content of all the **BIG** datasets on Hugging Face using search 🔍
Anyone wants to check the content of datasets like C4 ? mC4 ? OSCAR ? LAION ?
Inspect the data used to train the LLMs you are using now 🤗
What was going on with the Open LLM Leaderboard?
Its numbers didn't match the ones reported in the LLaMA paper!
We've decided to dive in this rabbit hole with friends from the LLaMA & Falcon teams and got back with a blog post of learnings & surprises: https://t.co/bREo0oiQ01
TBH people "knowing" GPT-4 was an MoE from the start through the rumor mill is such a good case study in how knowledge is concentrated
We need information about those systems to be shared beyond SV, and that takes strong legal transparency requirements (or open development 🤗)
We saw that with StarCoder in @BigCodeProject as well: being trained on code the 15B StarCoder is beating much larger models on HELM synthetic reasoning and logic tasks, like cohere command beta 52B, Anthropic-LM v4 52B, Aleph-Alpha Luminous Supreme 70B or OPT 175B
Hugging Face Fellows is a network of exceptional people from different backgrounds contributing to open-source machine learning 🦸♂️🦹♀️🧙👨🎤
Read what our Fellows have been up to here 👉 https://t.co/lUm11amNjC
There are some clear indications of (good quality) templating in the answers of ChatGPT
Would be super interesting to know what part is from the model and what part is some rule-based templated stuff on top of the model (like the added diversity words in DALL-E prompts) 🤓
🌎 Do not miss Oct.28 @huggingface
ML Demo.cratization Tour in Ireland 🤗 Thanks @sharduls_scooby@UNLP_Galway@galwayDSI for this collaboration 🙏 You will learn from the amazing @mrm8488 how to build ML using open-source technologies! Join at 6pm CEST👉https://t.co/PhI3sv5onm
Pro Tip: Do not forget to add the tokenizer to your @huggingface Trainer object. If you don't do it, training will work and the model will be pushed to the hub but the tokenizer won't!