April 2026
Intermediate
395 pages
13h 22m
English
Content preview from Generative AI with Python
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9.7 Summary
In this chapter, we looked into the crystal ball and tried to anticipate future developments for generative AI.
We started by discussing advances in model architecture. Then, we focused on current limitations and possible future limitations and issues in LLMs, such as hallucinations, biases, misinformation, and other issues. We studied how regulatory developments are trying to solve some of these issues.
The pace of progress in artificial intelligence is rapid, and artificial intelligence becomes increasingly likely to outperform average human skills, and even expert skills.
This book has journeyed through the incredible landscape of generative AI—from LLMs, to prompt engineering and vector databases, to RAG and agentic systems, ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.