December 2023
Intermediate to advanced
376 pages
9h 15m
English
Content preview from Generative AI with LangChain
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.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.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.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.
7
LLMs for Data Science
This chapter is about how generative AI can automate data science. Generative AI, in particular LLMs, has the potential to accelerate scientific progress across various domains, especially by providing efficient analysis of research data and aiding in literature review processes. A lot of the current approaches that fall within the domain of Automated Machine Learning (AutoML) can help data scientists increase their productivity and make data science processes more repeatable. In this chapter, we’ll first discuss how data science is affected by generative AI and then cover an overview of automation in data science.
Next, we’ll discuss how we can use code generation and tools in diverse ways to answer questions related ...
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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.