May 2025
Intermediate to advanced
484 pages
11h 25m
English
Content preview from Generative AI with LangChain - Second Edition
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The Future of Generative Models: Beyond Scaling
For the past decade, the dominant paradigm in AI advancement has been scaling—increasing model sizes (parameter count), expanding training datasets, and applying more computational resources. This approach has delivered impressive gains, with each leap in model size bringing better capabilities. However, scaling alone is facing diminishing returns and growing challenges in terms of sustainability, accessibility, and addressing fundamental AI limitations. The future of generative AI lies beyond simple scaling, in more efficient architectures, specialized approaches, and hybrid systems that overcome current limitations while democratizing access to these powerful technologies.
Throughout this ...
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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.