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How to Make Espresso
The Q and A was a Google form. It asked people to fill out questions and then put in their answers. The idea is that Dolly can do inference within one of these forms. There's absolutely 100% bias, let's not pretend there isn't. But it's fun.
This week on The Changelog we’re taking you to the hallway track of The Linux Foundation’s Open Source Summit North America 2023 in Vancouver, Canada. Today’s anthology episode features: Beyang Liu (Co-founder and CTO at Sourcegraph), Denny Lee (Developer Advocate at Databricks), and Stella Biderman (Executive Director and Head of Research at EleutherAI).
Special thanks to our friends at GitHub for sponsoring us to attend this conference as part of Maintainer Month.
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Show Notes:
The common denominator for these conversations is open source AI.
Beyang Liu and his team at Sourcegraph are focused on enabling more developers to understand code and their approach to a completely open source, model agnostic, coding assistant called Cody has significant interest from us.
Denny Lee and the team at Databricks recently released Dolly 2.0, the first open source, instruction-following LLM, that has been fine-tuned on a human-generated instruction dataset and is licensed for research and commercial use. They want to be the platform of choice the future of AI development.
Stella Biderman gave the keynote address on generative AI at the conference and works at the base layer doing open source research, model training, and AI ethics. Stella trained the EleutherAI pythia model family that Databricks’ used to create Dolly - 2.0.
Something missing or broken? PRs welcome!
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