How Narwhals has many end users … that never use it directly. – Marco Gorelli https://
bit.ly/3ZJRyub
#AI #MachineLearning #DeepLearning #LLMs #DataScience
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Narwhals: Widespread Adoption Among Indirect End Users
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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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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. -
Stable Diffusion 3.5: Accessible Cutting-Edge AI for Creators
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Stable Diffusion 3.5 reflects our commitment to empower builders and creators with tools that are widely accessible, cutting-edge, and free for most use cases. We encourage the distribution and monetization of work across the entire pipeline – whether it's fine-tuning, LoRA,
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3D U-Net for Medical Brain Tumor Segmentation Analysis
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3D U-Net, an efficient paradigm in medical segmentation, excels at analyzing volumetric data, allowing it to capture a holistic view of brain scans.
— Satya Mallick (@LearnOpenCV) 22 octobre 2024
The Brain Tumor Segmentation (BraTS), is an annual challenge that aims to use advanced state-of-the-art deep learning models and… pic.twitter.com/78MjJOw9EO3D U-Net, an efficient paradigm in medical segmentation, excels at analyzing volumetric data, allowing it to capture a holistic view of brain scans.
The Brain Tumor Segmentation (BraTS), is an annual challenge that aims to use advanced state-of-the-art deep learning models and -
Firecrawl: AI web scraping tool for structured data extraction
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#1 Drop in a URL
#2 Explain what you're looking for Voila! It’ll navigate the site, returning the data in a clean, structured format! Link to the repo: https://
github.com/mendableai/fir
ecrawl
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Grok-2 Web Crawler Tool by Nick Scamara
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I love web crawlers.
— Charly Wargnier (@DataChaz) 22 octobre 2024
You’ve got to check out @nickscamara_’s awesome `Grok-2 web crawler`! 🔥
It can crawl any website w/ @xai's latest @Grok-2 model & @firecrawl_dev.
link to the tool in the 🧵↓ pic.twitter.com/wXjGfWW9GNI love web crawlers. You’ve got to check out @nickscamara_
’s awesome `Grok-2 web crawler`! It can crawl any website w/ @xai
's latest @Grok
-2 model & @firecrawl
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Scikit-Learn Surprising Capabilities in Machine Learning
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Vincent D. Warmerdam – Scikit-Learn can do THAT?! https://
bit.ly/47MRI6f
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Hugging Face Open-Sources Arxiver: 138K Research Papers
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Exciting news in the world of research and AI! Exciting news in the world Exciting news in the world of research and AI! @huggingface has just open-sourced Arxiver —a treasure trove of 138,830 arXiv papers** available in multi-markdown format! This resource can be