Generative AI & LLMs: From GPT to Open Source Models

H2O.ai
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For most of AI's history the focus was analyzing and predicting. Generative AI creates. Here is what changed, and how to choose between proprietary and open source models. Terms covered: - Generative AI: AI that produces text, code, images, summaries and answers on demand - GPT (Generative Pre-trained Transformer): the architecture behind most large language models - Proprietary LLMs: powerful, easy to start with, priced per token, and your data goes to a third-party server - Open Source LLMs: weights you can download, deploy on your own infrastructure and fine-tune, with no per-token cost and no data leaving your environment Most serious deployments need both. Proprietary for speed and access, open source for control, privacy and cost at production scale. — AI Fundamentals Glossary | H2O.ai University Full playlist: https://www.youtube.com/playlist?list=PLAWKlIKS-66E Free courses and certifications: https://h2o.ai/university #GenerativeAI #LLM #OpenSourceAI #AIGlossary #H2Oai

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