Checking in on AI tools
summary
Survey of over 1300 respondents shows AI moves from research to implementation: patent filings in AI are rising with 24% growth since 2011 in computer vision, NLP advances arrive via open source models and pretrained weights, and about a fifth using reinforcement learning as tooling improves. Companies report over 60% planning AI budget allocations, barriers vary by maturity (finding use cases versus lack of data and skilled engineers), and practical tooling like Ray and RLlib, Weights & Biases and Determined AI plus upcoming specialized hardware shape adoption.
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chapters (9)
- 0:00Intro
- 0:50Patent Documents: Functional Areas
- 1:13More accurate Language Models
- 1:49Deep Learning Tools
- 2:15Reinforcement Learning Tools
- 3:04Community is growing
- 3:44Specialized Hardware
- 6:02What kinds of risks do you check for during ML model building and deployment? (select all that apply)
- 7:42Data: Privacy and Beyond
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