OpenAI sales revenues forecasted at $11.6 billion for 2025. So they will probably be positive.
Maybe you can burn cash, when you have a valuation at $157B?! Numbers are really crazy, only history will tell…
Akim Mousterou
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How to use ModernBERT with the AutoModelForQuestionAnswering class?
As of January 3rd, 2025:
-1./ Gemini (83%) -2./ ChatGPT (13%) -3./ Other (2%) -4./ Claude (2%) -5./ Grok (1%) -6./ Llama (<1%)
🇺🇸 The market opinion is following historical data. It's clearly bias towards US historical AI giants, yet Polymarket is forbidden in the USA and for US citizens.
🇨🇳 In the “Other”, you might have Chinese AI labs that are probably the future AI leaders (Qwen, DeepSeek, Yi).
⚖️ In the market resolution, if two models are tied in the evaluation, they will take the alphabetical order. (e.g. if both were tied, “Google” would resolve to “Yes”, and “xAI” would resolve to “No”). 🙃
That might be illegal usage of the Chatbot Arena policy? And maybe HuggingFace? @clem
Or maybe authors and contributors should get a cut each month as “market markers”. @weichiang @angelopoulos
🇪🇺✍️ EU AI Act: Systemic Risks in the First CoP Draft Comments ✍️🇪🇺
Kievan Rus' was coined by modern Russian historian. You are supporting the idea of the Old Russian empire, and forgetting the history of Ukraine, and Kyiv. When Kyiv was at the center of eastern salvic and finnic tribes breakdown in multiple states and principalities.
Please don't patronize me. I will not "carry on", or "close this discussion" at your wish. But you can always delete your messages. : )
Origin of Ukraine... "Kievan Rus', also known as Kyivan Rus', was the first East Slavic state and later an amalgam of principalities in Eastern Europe from the late 9th to the mid-13th century.*
In 1965, it's Ukrainian Soviet Socialist Republic. : )
You don't talk to LLM. "Talk" is an active verb that involves a very human action. You are rude to your fellow human but anthropomorphizing LLM.
Best,
Everything I wrote is a fact... You cannot be impolite and play the victim in the same time.
A polite human would use "In my humble opinion..." or "Please not that..."... And not use "No." or even "Carry on..."
Ivanenkho famously refused busy Moscow for the quietness of Kyiv because he was criticized by the party for being too abstract.
I wish I could used the USSR flag but US big brother doesn't have it. Maybe I will change the Ukrainian flag to Ukrainian Soviet Socialist Republic...
I wrote few points based on the Deep Learning history of Prof. Schmidhuber.
I wrote USSR, and I even put the little flag with hammer and chisel. : ) Ivaknenko is born in March 1913 in Kobeliaky and die in Kyiv, Ukraine back in 2007. He did most of his research in Kyiv. You can be Soviet and Ukrainian...
Ivaknenko did also his primary school, high-school, and Phd in Ukraine. But yes, he did his Master's Degree in St Petersburg. You don't get your nationality from MSc. That's non sequitur.
Ps: You can disagree with my post, but please be more polite when you reply. : )
🇩🇪 Prof. Jürgen Schmidhuber: “The #NobelPrize in Physics 2024 for Hopfield & Hinton turns out to be a Nobel Prize for plagiarism. They republished methodologies developed in #Ukraine and #Japan by Ivakhnenko and Amari in the 1960s & 1970s, as well as other techniques, without citing the original inventors.”
1965 - First Deep Learning - USSR ☭ (Ukraine 🇺🇦 now)
Ivakhnenko and Lapa introduced the first deep learning in deep MLPs that learn internal representations of input data.
1967/68 - Deep Learning by Stochastic Gradient Descent - Japan 🇯🇵
Shun-Ichi Amari trained MLPs with many layers in non-incremental end-to-end fashion from scratch by stochastic gradient descent (SGD).
1969 - Rectified linear unit - Japan 🇯🇵
In 1969, Kunihiko Fukushima introduced ReLU in the context of visual feature extraction in hierarchical neural networks.
1970 - Backpropagation - Finland 🇫🇮 😃
In 1970, Seppo Linnainmaa was the first the reverse mode of automatic differentiation, now known as backpropagation.
1972 - Recurrent Neural Network - Japan 🇯🇵
In 1972, Shun-Ichi Amari published a learning recurrent neural network based on Lenz-Ising model (Amari's net was later called the "Hopfield network". Hopfield republished in 1982, without citing Amari papers.)
1979 - First Convolutional neural network - Japan 🇯🇵
CNN architecture was introduced in 1979 by Kunihiko Fukushima, also known as Neocognitron.
https://people.idsia.ch/~juergen/deep-learning-history.html#AMH2
Interactive viz: https://aiworld.eu/embed/model/model/treemap
Discussion: huggingface/open-source-ai-year-in-review-2024
Après beaucoup d’efforts et de sueurs avec Alexandre Lavallee, nous sommes ravis d’annoncer que le OpenLLMFrenchLeaderboard est en ligne sur Hugging Face (space url: le-leadboard/OpenLLMFrenchLeaderboard) la toute première plateforme dédiée à l’évaluation des grands modèles de langage (LLM) en français. 🇫🇷✨
Ce projet de longue haleine est avant tout une œuvre de passion mais surtout une nécessité absolue. Il devient urgent et vital d'oeuvrer à plus de transparence dans ce domaine stratégique des LLM dits multilingues. La première pièce à l'édifice est donc la mise en place d'une évaluation systématique et systémique des modèles actuels et futurs.
Votre modèle IA français est-il prêt à se démarquer ? Soumettez le dans notre espace, et voyez comment vous vous comparez par rapport aux autres modèles.
❓ Comment ça marche :
Soumettez votre LLM français pour évaluation, et nous le testerons sur des benchmarks de référence spécifiquement adaptés pour la langue française — notre suite de benchmarks comprend :
- BBH-fr : Raisonnement complexe
- IFEval-fr : Suivi d'instructions
- GPQA-fr : Connaissances avancées
- MUSR-fr : Raisonnement narratif
- MATH_LVL5-fr : Capacités mathématiques
- MMMLU-fr : Compréhension multitâche
Le processus est encore manuel, mais nous travaillons sur son automatisation, avec le soutien de la communauté Hugging Face.
@clem , on se prépare pour une mise à niveau de l’espace ? 😏👀
Ce n'est pas qu'une question de chiffres—il s'agit de créer une IA qui reflète vraiment notre langue, notre culture et nos valeurs. OpenLLMFrenchLeaderboard est notre contribution personnelle pour façonner l'avenir des LLM en France.
You are probably talking to a Russian or Isreali bots that target French people... Or maybe we might not be the target, but it's HuggingFace. I won 2 (bot) followers today. They are following the same 10 accounts and inside those accounts, you have various fake accounts. It's a ponzi-scheme! 😅
I checked the email you gave. The emails are French people from far-right and from finance. Sounds like foreign gov bot. It's pretty ironic to do that in here. 😅
I think they are deliberately using languages other than English to create this misunderstanding. I happened to read the Japanese version, so I realized that it was clearly wrong.😅
Recently, there has been an increase in the number of English posts and SPAM that look like they were created by a generative AI. You can also see so-called “pappeting”, where SPAMs talk to each other.
@John6666 As soon, you liked my post about the Japanese Leaderboard, I got a very weird message in English... Sounds like a spam BOT, but very introspective, incoherent semantic, and fan of anime... : )
Ps: I added a link to awesome-japanese-llm on the Blog Article. : )
@kaisugi
Thank you! It was a great project and it's barely the beginning.
Hopefully, the open-source community will evaluate more LLMs, and that we will discover more insights.
We have a memory restriction from mdx on Qwen 2.5 72B, but we will found a solution very soon.
Blog: https://huggingface.co/blog/leaderboard-japanese
Space: llm-jp/open-japanese-llm-leaderboard
🌍 The leaderboard is available in both Japanese and English
📚 Based on the evaluation tool, llm-jp-eval with more than 20 datasets for Japanese LLMs
📊 The leaderboard showcases all the metrics for NLP experts, plus averages for NLP beginners
💻 For the comfort of users, we chose a horizontal UI, and implemented it in a light and dark theme on Gradio
🔬 The radar chart provides a very interesting visualization of metrics!
🌱 We are using the Japanese research platform, MDX, so please be patient!
⚡ LLMs bigger than +70B will be evaluated soon…
How do you say “GPUs Go Brrr” in Japanese - > GPUがブンブン~! (To pronounce "GPU ga bunbun!") 🔥