Generative AI is entering its second act, but is the world ready for the next decade of AI? Check out our roundup of the top AI and MLOps articles for October 2023!
Generative AI’s Act Two
Where is generative AI headed? After a year of hysteria, rapid innovation, and skepticism, Sequoia Capital predicts what Act II will look like and the emerging infrastructure stack making the future possible: https://www.sequoiacap.com/article/generative-ai-act-two
Prompt Injection Attacks in Various LLMs
LLMs have become mainstream, but how are providers protecting against prompt injection attacks? Murtuza N. Shergadwala, PhD explores this emerging area of concern: https://email@example.com/prompt-injection-attacks-in-various-llms-206f56cd6ee9
The World Isn’t Ready for the Next Decade of AI
Mustafa Suleyman, cofounder of Google DeepMind and Inflection AI, shares his thoughts on how AI and other technologies will take over everything — and possibly threaten the very structure of the nation-state: https://www.wired.com/story/have-a-nice-future-podcast-18
Why Llama 2 is a Game Changer
The release of Llama-2 could pose a substantial challenge to OpenAI. Armand Ruiz explains why it's such a game changer: https://newsletter.nocode.ai/p/llama-2-game-changer
Comply or Die: The Rise of the AI Governance Stack
Every company with an AI strategy needs a corresponding model governance and safety strategy. To address oncoming AI regulations, Battery Ventures sees an emerging compliance and governance stack: https://www.battery.com/blog/ai-governance-stack
When can we trust model evaluations?
Model evaluations are tricky. Evan Hubinger, safety researcher at Anthropic, explains the four different categories of evaluations and what assumptions are needed for each: https://www.lesswrong.com/posts/dBmfb76zx6wjPsBC7/when-can-we-trust-model-evaluations
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