In this episode of Syntax, Wes and Scott talk about understanding the integration of different components in AI models, the choice between traditional models and Language Learning Models (LLM), the relevance of the Hugging Face library, demystify Llama, discuss spaces in AI, and highlight available services.

Show Notes

00:25:20 Welcome
00:55:00 Syntax Brought to you by Sentry
01:17:00 Understanding how the pieces fit together
02:31:18 Models or LLM?
04:43:22 What about Hugging Face?
08:05:18 What’s Llama?
08:51:15 What are spaces?
09:29:06 Services available to you
12:26:16 What are tokens in AI?
17:38:18 What is temperature with AI?
20:33:08 Using top_p
21:06:00 Using fine-tuning to extend existing models
22:11:19 Prompts are what you send to the model
23:17:00 Streaming
24:48:17 Embeddings
27:34:17 OpenAI maintains Evals
28:40:14 Different libraries for working with AI

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