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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.

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Timestamps:
02:30 Daily AI news
07:57 Large language models are powerful and versatile.
12:03 Large language models are complex, expensive
15:39 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 Models
2. Advantages and Usage of Small Language Models
3. Comparison of Small and Large Language Models
4. Future of Small Language Models

Keywords:
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 Ultra

EP 208: Small Language Models - What they are and do we need them? 37:47 Share

Everyday AI Podcast – An AI and ChatGPT Podcast

Shownotes Transcript

EP 208: Small Language Models - What they are and do we need them?