Large Language Models (LLMs) can be proprietary to a given company, or open source and free for anyone to access and modify. While proprietary LLMs are often larger, the benefits of transparency, fine-tuning, and community contributions make open source an attractive alternative. Both proprietary and open source LLMs share risks, including inaccuracies, bias, and security concerns. In this video, Master Inventor Martin Keen covers the tradeoffs so you can make an informed decision of which option is best for you.
IBM Senior Research Scientist Marina Danilevsky explains the LLM/RAG framework and how this combination delivers two big advantages.
Generative AI has stunned the world with its ability to create realistic images, code, and dialogue. Here, IBM expert Kate Soule explains how a popular form of generative AI, large language models, works and what it can do for enterprise.
Get a unique perspective on what the difference is between Machine Learning and Deep Learning - explained and illustrated in a delicious analogy of ordering pizza by IBMer and Master Inventor, Martin Keen.
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