April 2025
Intermediate to advanced
232 pages
6h 56m
English
Content preview from Data Analysis with LLMs
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10 Software frameworks
This chapter covers
- Building applications with LangChain
- Solving complex tasks with agents
- Querying data with LlamaIndex
Up to now, we’ve mostly been using OpenAI’s Python library to interact with language models. This library offers basic functionality for sending prompts and retrieving answers from GPT and other OpenAI models (as well as options for tuning and fine-tuning). The libraries from other providers, such as Anthropic and Cohere, offer similar functionality. As long as your data-analysis tasks are simple, this is probably all you need. However, what if your data analysis requires a complex multistep pipeline, possibly integrating many different data formats?
At that point, you may want to switch to ...
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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.
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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.