I had a blast presenting @liquidai
's post-training work on stage yesterday. Thanks everyone for your nice feedback. The entire presentation will be uploaded soon.
@maximelabonne
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Liquid AI Post-Training Work Presentation Success
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ORPO Guide: The Only Resource Covering Pruning Techniques
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And, of course, don't forget the best guide about ORPO. The other resources don't even mention pruning.
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LiquidAI Product Launch: Post-Training Insights Livestream
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Hey we're having a livestream at 10 AM ET for our product launch at @liquidai I'll be on stage to talk about post-training!
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LLM Engineers Handbook: Essential Guide for Language Model Development
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Amazon: https://
a.co/d/0ArwFcU GitHub: https://
github.com/PacktPublishin
g/LLM-Engineers-Handbook
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AI Leaders Endorse New Book on Machine Learning
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I'm super grateful to @julien_c
, CTO of @huggingface
, and @htahir111
, CTO of @zenml_io
, for endorsing this book and writing kind forewords for us. 🙂 -
Building LLM Twins: End-to-End Practical Guide with MLOps
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It's centered around an end-to-end practical example to build an LLM Twin. We show how to collect data, transform it, train models, build an advanced RAG pipeline around them, and deploy the result on AWS. All of this using best practices from MLOps.
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LLM Engineer’s Handbook Released: Real-World System Building Guide
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The LLM Engineer's Handbook is officially released! I'm really proud of this book. It's a comprehensive guide to building and deploying LLM systems in the real world. This is the culmination of @iusztinpaul
's and my experience writing LLM courses and articles online. -
Pre-order LLM Engineers Handbook and Support on GitHub
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If you're interested, you can pre-order the book at this address: https://
a.co/d/6O2hhZ4 You can also check our GitHub repo made by Paul and star it to support us 🙂 https://
github.com/PacktPublishin
g/LLM-Engineers-Handbook
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LLM Engineer’s Handbook Becomes Number One Neural Networks Release
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Really happy to see that the LLM Engineer's Handbook is #1 New Release in Neural Networks We put an insane amount of work into this book. I hope it'll help a new generation of LLM engineers and tinkerers to build production-level AI systems.