Julien Simon

Panel discussion at Youth AI Day featuring Julien Simon (VP & Chief Evangelist at Arcee AI) alongside Dr. Gargi Mishra (Strategy & Innovation Leader, Global Keynote Speaker) and Sourav Agarwal (Founder of Data Hat, AI Mentor). Hosted by Ngwako Ralepelle, the discussion focuses on AI solutions for Africa's most pressing health challenges, exploring how artificial intelligence can empower healthcare solutions across the continent.

Guest appearance on the German NewMinds.AI podcast discussing the deep mechanisms of modern AI systems with host Jens. Covers the difference between Small and Large Language Models, why not every company should train their own model, Open Weights vs Open Source concepts, how fine-tuning with company data can make small models better than GPT-4, the importance of data quality over model size, legal and ethical questions around copyrighted content training, synthetic data opportunities and risks, and realistic AI expectations for the coming years.

AI isn’t about hype—it’s about solving real problems. In this episode of The AI Space Podcast, host Sanjay Kalluvilayil is joined by Julien Simon, Chief Evangelist at Arcee.ai, for a wide-ranging conversation on building scalable, cost-effective, and domain-adapted AI solutions using small language models (SLM). Together, they cut through the noise around automation, open source, and large-scale model performance, zeroing in on what truly matters for enterprises: ROI, responsible innovation, and solving business problems faster and smarter. From Julien’s experience at AWS and Hugging Face to his work now at Arcee.ai, you'll hear powerful insights on enterprise AI adoption, distillation techniques, and how to integrate open-source models into high-impact business workflows.

Whether you’re a founder trying to scale, a technologist looking for better tools, or a corporate team trying to figure out what’s real and what’s fluff in AI—this episode will help you understand how to build AI that actually works.

Guest appearance as Chief Evangelist of Arcee AI discussing how Model Merging can help build more versatile and cost-effective AI models. Explains different methods for Model Merging while comparing it with Model Distillation and Transfer Learning.

Guest appearance as Chief Evangelist at Arcee AI discussing how small language models running on Arm CPUs are becoming a game-changer for enterprise AI implementation. Covers Arcee's evolution since 2023, achieving remarkable results with models from 8B to 72B parameters, and how enterprises can run powerful models on standard CPUs rather than expensive GPUs. Features discussion of quantization techniques, Arm Neoverse processors, and the future of AI microservices.

Join Julien Simon, Chief Evangelist of Arcee AI, as we discuss how Model Merging can help us build more versatile and cost effective AI models. Hear him explain the different methods for Model Merging while comparing it with other techniques for building better models such as Model Distillation and Transfer Learning.

In this in-depth conversation, Julien Simon (Chief Evangelist at Arcee AI) explores the evolution of AI models, the open source revolution, and the rise of small language models. Topics include practical advice on fine-tuning with proprietary data, the role of a Chief Evangelist, why smaller models are transforming the industry, and how enterprises can run powerful models on basic hardware. The discussion also covers model alignment, the importance of local models and communities, benchmark debates, and the future of democratized AI access.

Episode 1 of Jungs AI Podcast covering AI trends and developments with Ngwako Ralepelle.

Guest appearance on Radio France's "Nouveau Monde" podcast discussing Hugging Face as the other French AI unicorn, covering the company's role in the French tech ecosystem, AI innovation, and the company's position as a leading player in the global AI landscape.

Interview as Chief Evangelist at Hugging Face discussing AI solutions, open-source LLMs, customer problem-solving, and the future of local inference with LLMs. Covers journey from AWS to Hugging Face and evangelism role.

Guest appearance on the Leading with Data podcast discussing data science, machine learning, and AI applications. Covers insights on data-driven decision making and technology trends in the data science field.

Guest appearance as Chief Evangelist at Hugging Face alongside Intel Principal Engineer Ke Ding discussing accessible, production-level AI solutions. Covers transformer models, deep learning challenges, ethical AI usage, and the importance of open, democratized AI solutions. Features discussion of BLOOMZ on Habana Gaudi2, Stable Diffusion on Intel CPUs, and Intel's AI tools.

Guest appearance as Chief Evangelist at Hugging Face discussing the future of Generative AI and LLM-powered implants. Covers predictions about skull implants providing real-time AI assistance, the Babel Fish concept from science fiction becoming reality, and the distinction between "useful stuff" and "fancy stuff" in Generative AI. Features discussion of Hugging Face's platform with over 120k open-source machine learning models and competition with big tech companies.

Guest appearance as Chief Evangelist at Hugging Face discussing the democratization of machine learning with host Lauren Hawker Zafer. Covers Hugging Face's mission to democratize good machine learning, social responsibilities in AI democratization, sociological consequences of AI language models, and how AI affects language and meaning-making. Features discussion of collaboration, openness, and addressing risks of unaccountability and power concentration in AI.

Guest appearance alongside AWS expert Dr. Ségolène Dessertine-Panhard discussing how AI and machine learning can help organizations make the best use of data. Explores benefits these technologies bring to free up professionals to focus on what they love, covering diverse industries including finance, education, healthcare, and wildlife conservation.

Podcast appearance on Marcia's show discussing technology trends and industry insights.

Guest appearance as Principal Developer Advocate discussing AI/ML announcements from AWS re:Invent 2020, covering the third keynote presented by Swami Sivasubramanian on Tuesday, December 8th.

Guest appearance on the AWS French podcast discussing AI and machine learning announcements from AWS re:Invent 2019, including Amazon Inferentia, SageMaker features, Amazon Kendra, and AWS DeepComposer.

Video appearance discussing artificial intelligence and machine learning topics, covering current trends, technologies, and practical applications in the field.

Interview as Global Technical Evangelist in AI & Machine Learning at AWS, discussing digital transformation, AI/ML technologies, and personal journey in tech evangelism.

Guest appearance discussing Apache MXNet deep learning framework on AWS, covering neural network development, machine learning applications, and AWS integration for deep learning workloads.

Podcast appearance covering technology trends and industry insights.

Guest appearance on AWS Podcast discussing Amazon SageMaker's built-in algorithms for machine learning. Covers the comprehensive suite of pre-built ML algorithms available in SageMaker, including XGBoost, Linear Learner, Factorization Machines, and more. Explains how these algorithms simplify the machine learning workflow and enable developers to quickly build and deploy ML models without extensive algorithm development.