Should You Use Open Source Large Language Models?
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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.
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Want to experiment with foundation models? Explore our interactive demo for watsonx.ai → https://ibm.biz/Bdvu3f
To dive deeper get the guide to choosing the right AI foundation model → https://ibm.biz/Bdvu3H
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.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM. → https://ibm.biz/Bdvu3M
