Artificial Intelligence #106

Hey, in this issue: competitive programming with AlphaCode; red teaming language models with language models; machine learning gets a quantum speedup; how AI will change chip design; the modern ML monitoring research challenges; aligning language models to follow instructions; and more.

This issue is sponsored by SearchBlox and WeCloudData.

• Competitive programming with AlphaCode (blog, paper, data, video)
• Red teaming language models with language models
• Machine learning gets a quantum speedup
• Q&A: here’s how AI will change chip design
• [Sponsored] Extract and Use Content with Pre-built NLP Automation Pipelines

SearchBlox automates NLP for all types of documents, stored anywhere in your organization. Extract, process and store documents securely within a single platform. No additional customization. Generate titles, metadata, and descriptions. Classify content instantly to eliminate manual tasks.

• The modern ML monitoring mess: research challenges
• Project RADAR at Uber: intelligent early fraud detection system with humans in the loop
• [Sponsored] Become an excellent AI engineer with WeCloudData's AI Engineering bootcamp and its extensive career support.
• [OpenAI] Aligning language models to follow instructions
• Everything gets a package: a Python data science setup

The newsletter is now read by more than 555,000 subscribers. If you are building an AI or a data product or service, you are invited to join the list of?these great companies?by becoming a sponsor of one of the future newsletter issues. Feel free to reach out to?[email protected]?for more details on sponsorships.

Enjoy the newsletter? Help us make it bigger and better by sharing it with your colleagues and friends.

Have a nice weekend! See you next week. — Andriy