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Bigger isn't always better. Today, we're giving you 14 essential facts about Small Language Models. You'll not only learn the difference between large and small language models, but you'll be able to slice through the jargon and be the language model expert in the room.Newsletter: Sign up for our free daily newsletter)**More on this Episode: **Episode Page)**Join the discussion: **Ask Jordan questions about small language models)**Related Episodes:**Ep 204: Google Gemini Advanced – 7 things you need to know)Ep 223: Anthropic Claude 3 – Better Than ChatGPT and Google Gemini?)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected])**Connect with Jordan on **LinkedIn)**Timestamps:**02:40 Exploring small language models vs large models.03:42 Definition of small language models is changing.08:49 Small language models are for specific purposes.11:55 Small language models are faster and local.14:45 Tim Cook announces new language model for devices.21:25 2024 shift to smaller, focused language models.27:56 RAG: Combining data, small language models' future.28:52 Concern for large language models, potential for small models.**Topics Covered in This Episode:1. Introduction to Language Models2. Advantages and Usage of Small Language Models3. Comparison of Small and Large Language Models4. Future of Small Language ModelsKeywords:**Large language models, Small language models, GPT-4, Gemini Ultra, PHY2, Llama, Parameters, Language translation, coding, Generating AI, GPT-5, MMLU, Speed, Efficiency, Fine-tuning, Maintenance, Copy-paste prompts, Chatbots, Search engines, Voice assistants, Hugging Face, Cloud-based services, Downloading models, Gemini Nano, NVIDIA's chat with RTX, RAG, Security, Privacy, Retrieval Augmented Generation
