What if we could run state-of-the-art open-source LLMs on a typical personal computer? Did you think it was a lost cause? Well, it's not!
In this post, thanks to the Hugging Face Optimum library, we apply 4-bit quantization to the 2.7-billion Microsoft Phi-2 model, and we run inference on a mid-range laptop powered by an Intel Meteor Lake CPU.
More in the blog post: "A chatbot on your laptop" https://huggingface.co/blog/phi2-intel-meteor-lake
Transcript
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Julien from Arcee introduced the new Arcee Maestro platform, which is designed to streamline the development and deployment of AI models. The platform offers a user-friendly interface and robust tools for data preprocessing, model training, and performance monitoring.
The integration of Qwen, the large language model from Alibaba Cloud, significantly enhances the capabilities of Arcee Maestro. Qwen provides advanced natural language processing, enabling more sophisticated applications in areas such as customer service, content creation, and data analysis.
Julien also highlighted the importance of DeepSeek, a powerful search and recommendation engine, in complementing the functionalities of Arcee Maestro. Together, these tools create a comprehensive ecosystem for businesses looking to leverage AI technologies effectively.
Participants were impressed by the demo, which showcased the seamless workflow from data ingestion to model deployment. The feedback was overwhelmingly positive, with many expressing interest in adopting Arcee Maestro for their projects.
Tags
AI DevelopmentModel DeploymentNatural Language ProcessingAI EcosystemData Preprocessing
Julien Simon is the Chief Evangelist at Arcee AI
, specializing in Small Language Models and enterprise AI solutions. Recognized as the #1 AI Evangelist globally by AI Magazine in 2021, he brings over 30 years of technology leadership experience to his role.
With 650+ speaking engagements worldwide and 350+ technical blog posts, Julien is a leading voice in practical AI implementation, cost-effective AI solutions, and the democratization of artificial intelligence. His expertise spans open-source AI, Small Language Models, enterprise AI strategy, and edge computing optimization.
Previously serving as Principal Evangelist at Amazon Web Services and Chief Evangelist at Hugging Face, Julien has helped thousands of organizations implement AI solutions that deliver real business value. He is the author of "Learn Amazon SageMaker," the first book ever published on AWS's flagship machine learning service.
Julien's mission is to make AI accessible, understandable, and controllable for enterprises through transparent, open-weights models that organizations can deploy, customize, and trust.