This chapter delves into the performance comparison of AI models like Claude instant and Claude V2, discusses token limitations when using AI models via an API, and introduces newer models like GPT-4 and Anthropic with higher token capacities. It also touches on the challenges of context access and token usage optimization through tools like Tik token.
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
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