Hugging Face Already has 1000s of Llama 3 Models – and Counting
No sleep for Hugging Face employees. By next weekend, there will be 10,000+ Llama 3 models.
No sleep for Hugging Face employees. By next weekend, there will be 10,000+ Llama 3 models.
The new Idefics2 model outperforms larger rivals in the visual tasks.
Developers can choose one of the popular open-source models and then simply click “Deploy to Cloudflare Workers AI” to deploy a model instantly.
You can test out Indic chat models on this website.
The course is designed for individuals who want to get into building AI applications using open source models.
The dataset consists of over 30 million samples and f 25 billion tokens, generated by Mixtral.
In just a few days since its launch, the Hugging Face Chat Assistants platform has rapidly grown, boasting over 4,000 Assistants.
Developers can leverage compute, TPUs, and GPUs for creating generative AI applications, incorporating features like Vertex AI integration, Google Kubernetes Engine support, and Cloud TPU v5e for improved performance.
From language models to deployment tools, these apps play a crucial role in shaping AI development.
Integrating the Hugging Face hub enhances the experience by allowing easy utilisation of existing models and datasets.
“You always need to evaluate the models based on your needs and use cases.”
The Hugging Face team is looking for candidates who love building tools and collaborating with the AI community
Hugging Face provides abundant tools to build textual or visual AI models ethically
The GenZ 70B open source model ranks No.6 among all open LLMs and sits atop the leaderboard for instruction-tuned LLMs on Hugging Face
While Hugging Face’s open approach has garnered much appreciation, it has also given rise to questions about its future direction
The company, which currently has 170 employees, also plans to hire more people in the next few months
It is based on Flamingo, a state-of-the-art visual language model initially developed by DeepMind
HuggingFace has partnered with VMware to offer SafeCoder on the VMware Cloud platform.
The course ‘Building Generative AI Applications with Gradio’ will teach you to build and use ML applications with Gradio.
In June 2018, OpenAI released GPT, the first pretrained Transformer model, used for fine-tuning on various NLP tasks and obtained state-of-the-art results
Trained by altering the input tokens and then reconstructing the initial sentence, auto-encoding models follow a similar pattern to the original transformer model’s encoder
Hugging Face’s AI WebTV aims make open-source text-to-video models like Zeroscope and MusicGen more accessible.
Transformers Agent provides a natural language API on top of transformers, with a set of curated tools and an agent designed to interpret natural language and use these tools
The Hugging Face model is an improved version of the StarCoderBase model trained on 35 billion Python tokens.
“There’s a whole can of worms when we start looking at the data that’s being used to train these models.”
The differences and the similarities
For now, it runs on OpenAssistant’s latest LLaMA based model
While the services from both OpenAI and Hugging Face seem to be standing on the grounds to make AI more ‘democratic’ there’s a big difference.
With this partnership, Hugging Face will use AWS as a preferred cloud provider
The new search engine allows searching for AI/ML models, datasets, and spaces a lot easier.
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