It seems like we just started to understand large language models. But now all the talk is about small language models. So what are they and how do they compare to LLMs? We explain small language models and their future.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode pageJoin the discussion: Ask Jordan questions on small language modelsUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTimestamps:02:30 Daily AI news07:57 Large language models are powerful and versatile.12:03 Large language models are complex, expensive15:39 Small language models are faster and efficient.18:51 NVIDIA announces local small language model.21:54 Small language models are efficient for specific tasks.29:33 Samsung and Google teaming up for Gemini Nano.30:25 Small language models support data integration securely.35:10 New devices needed to run language 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, Gemini Nano, S 24, Apple, Meta, ChatGPT, workspace accounts, plug-in packs, Microsoft Surface, bad information, prompt engineering, chatbots, search engines, voice assistants, cloud-based services, Samsung, Google, Meta's llama models, NVIDIA's chat with RTX, retrieval augmented generation, Everyday AI Show, Salesforce, Slack, AI animation tool, Keyframer, Goose, parameters, GPT 4, Gemini UltraSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Head to AI.studio/build to create your first app. Head to AI.studio/build to create your first app. Head to AI.studio/build to create your first app.

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