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AI and MLOps Roundup: July 2023

An emerging LLM application stack could help create $4.4 trillion in annual value, but how can we ensure generative AI is safe and what will the next 10 years bring? Check out our roundup of the top AI and MLOps articles for July 2023!

Emerging Architectures for LLM Applications

The emerging LLM application stack, relying on data embedding and prompt operations, is completely unlike traditional computing resources. Andreessen Horowitz shares what they see developing:

The emerging LLM application stack

AI Explained: AI Safety in Generative AI

On our last AI Explained webinar, AI icon Peter Norvig explored best practices for AI safety in generative AI. Missed the episode? Check out his key takeaways and listen to the full recording:

Peter Norvig joined Fiddler CEO Krishna Gade to discuss AI safety in generative AI

Andrew Ng predicts the next 10 years in AI

What will the next 10 years in AI bring? Andrew Ng offers his predictions:

Andrew Ng predicts the next 10 years in AI

The economic potential of generative AI: The next productivity frontier

McKinsey & Company's latest research estimates that generative AI could add up to $4.4 trillion in value annually to the global economy - more than the UK's entire GDP! Check out their report for more interesting findings:

The economic potential of generative AI

LangChain tutorial: Build an LLM-powered app in 18 lines of code

Interested in using LangChain to build an LLM-powered app? Here is a great tutorial in just 18 lines of code:

Behind the scenes of your LLM-powered app

Google DeepMind’s CEO Says Its Next Algorithm Will Eclipse ChatGPT

Google DeepMind is working on a system called Gemini that uses techniques from AlphaGo to create an AI that is more capable than GPT-4:

Google DeepMind CEO Demis Hassabis

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