The rapid evolution of Generative AI: What developers need to know
Don Shin, founder and CEO of CrossComm, sits down with the All Things open team to talk about the current and future state of generative AI. Don discusses two key aspects: technical evolution and commercial adoption of AI. He notes that while generative AI is advancing rapidly, there is still significant room for improvement, particularly with large language models (LLMs).
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0:00 - Introduction
0:08 - Welcome Don Shin
0:32 - Where are we on the "evolution" when it comes to generative AI?
2:55 - What are LLMs?
4:09 - Why is building applications with an open source approach so important?
6:13 - What do organizations need to consider when considering utilizing 3rd party LLM services?
7:46 - Why is it important for the training model to be open source?
9:25 - Any best practices that can help the ATO community save time or help people get started more quickly?
11:56 - Why are you encouraging people to experiment?
13:16 - Wrap-up
Key takeaways
Rapid evolution of generative AI presents both technological and commercial opportunities
Importance of large language models (LLMs) and their capabilities
Open source frameworks enhance security and trustworthiness in AI applications
Careful evaluation of third-party LLM services is essential for compliance and data privacy
Experimentation with generalist vs. specialized models can lead to better outcomes and cost savings
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