LLMs: What They Are and How to Leverage Them?
watch on portal.gitnation.org ↗https://portal.gitnation.org/contents/llms-what-they-are-and-how-to-leverage-themsummary
Introduces large language models (LLMs) and explains their parameters, neural network inference, and architecture (including Oppenheimer). Covers obtaining and training base and assistant models, labeling and fine-tuning (including OpenAI/GPT-style chat models), API/key configuration and error handling, and practical integration into observability workflows and products — demonstrated with a hands-on exercise that builds an AI-powered cocktail recommendation and shows Grafana’s approach to using LLMs.
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