LLMOps + other resources
March is almost over, so it’s time to share some fresh content! Today, we have quite a few LLM pieces for you (but not only!), so hope you will find something useful.
Happy reading!
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Case studies & practical MLOps
> LLMOps: What It Is, Why It Matters, and How to Implement It - Let's start with the trending topic - LLMs. In this article, Stephen Oladele has gathered everything you need to know about Large Language Model Operations (LLMops), their difference from MLOps, levels of implementation, components' roles, and future predictions.
> How to Optimize GPU Usage During Model Training With neptune.ai - Now, it’s time to optimize routine tasks and save some time. This post discusses practical tips for GPU optimization during model training, including performance metrics, techniques, and a Neptune case study.
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Guides & tutorials
> Zero-Shot and Few-Shot Learning with LLMs - If you've ever wondered about the techniques of prompting that can enable you to leverage the full potential of Large Language Models, this article is for you. Michał Oleszak explores how zero- and few-shot learning works, shows some examples, and discusses when to use (and, more importantly, when not to use) zero-shot and few-shot prompting.
> Deep Learning Model Optimization Methods - One more thing worth mentioning this month - optimization techniques. You can learn everything about pruning, quantization, and distillation, understand their differences and compare the effectiveness.
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Tools
Recommended by LinkedIn
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MLOps World 2023 Interview Series
> As you may know, some time ago we've been on Gen AI Conference. And we thought, why not use the opportunity of having so many great ML folks in one place and do some interviews?
That’s why we present you now, Gen AI/LLM-themed interview series hosted by Aurimas Griciūnas.
You can find there everything from the challenges of bringing LLMs in-house to LLM evaluation, cost considerations, safeguarding LLMs, LLMOps vs. MLOps, building agent systems, and the future of open-source.
To get notifications about new episodes, follow us on Spotify, Apple Podcasts, or subscribe to our YouTube channel.
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Okay, that's it for today. Hope you find these useful!
Feel free to forward this newsletter to your friends and communities, if you find it useful!
Cheers!
IT addicted. :>
8moCan I adllblvl