Video by H2O.ai via YouTube
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.
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AI Fundamentals Glossary | H2O.ai University
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#GenerativeAI #LLM #OpenSourceAI #AIGlossary #H2Oai