Safe and responsible development with generative language models
Key Takeaways
The video discusses safe and responsible development with generative language models, focusing on curbing risks and developing safe LLM-backed applications using tools like RAI Toolkit in TensorFlow and PaLM API Safety Controls.
Original Description
Generative language models are an incredible new technology that enable computers to converse about almost any topic. Unfortunately, we don't always know what those models are going to say. How do we ensure that our applications don't produce inappropriate content? In this talk, we'll explore guidance for curbing those risks and developing safe and responsible LLM-backed applications.
Resources:
Google AI Principles → https://goo.gle/3nOz8rc
RAI Toolkit in TensorFlow → https://goo.gle/3mbnSVB
PaLM API and MakerSuite Safety Controls → https://goo.gle/3ZMFy7E
Google AI Blog, Link → https://goo.gle/3Gy1ywp
Find full set of ML resources here → https://g.co/ai/build
Speakers: Shivani Poddar, Thi Avrahami
Watch more:
Watch all the Technical Sessions from Google I/O 2023 → https://goo.gle/IO23_sessions
Watch more AI/ML Sessions → https://goo.gle/IO23_ai_ml
All Google I/O 2023 Sessions → https://goo.gle/IO23_all
Subscribe to TensorFlow → https://goo.gle/TensorFlow
#GoogleIO
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