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A conversation with your architecture
| | bdtechtalks.com
No-code retrieval augmented generation (RAG) with LlamaIndex and ChatGPT - TechTalks
4.4 parsecs away

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| | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision.
| | emasquil.github.io
Downloading files from S3 with multithreading and Boto3 :: Hello, my name is Elías - Welcome to my personal site
15.2 parsecs away

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| | Yesterday I found myself googling how to do something that I'd think it was pretty standard: How to download multiple files from AWS S3 in parallel using Python? After not finding anything reliable in Stack Overflow, I went to the Boto3 documentation and started coding. Something I thought it would take me like 15 mins, ended up taking me a couple of hours. I'm writing this post with the hope I can help somebody who needs to perform this basic task and possibly me in the future.
| | blog.adnansiddiqi.me
Introduction to LLM | Adnan's Random bytes
5.8 parsecs away

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| | Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.
| | www.integralist.co.uk
Github Actions ? Mark McDonnell
15.7 parsecs away

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| GitHub Actions makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. I've been using GitHub Actions a lot recently and I've found it to be immensely flexible and feature rich. I think it's well worth your time learning how to run your CI/CD pipelines via GitHub Actions, and in this post that's exactly what we're going to dig into.