Hold on, Chinas ERNIE 5.1 is almost SOTA but using only around 6% of the pre-training cost of comparable models?? ERNIE 5.0’s pre-training foundation: Baidu says ERNIE 5.1 achieves stronger search, reasoning, knowledge Q&A, creative writing, and agentic capabilities while using
MACHINE LEARNING
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Lighter and Faster Language Models
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Sparser, Faster, Lighter Transformer-Based Language Models Paper:
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New RAG Approach ‘Blockify’ Improves Search Efficiency
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Naive RAG vs. Blockify!
— Akshay 🚀 (@akshay_pachaar) 9 mai 2026
There's a new RAG approach that:
– cuts corpus size by 40x.
– reduces tokens per query by 3x.
– improves vector search relevance by 2.3x.
Blockify GitHub: https://t.co/R0LSWC1V8a https://t.co/xNuoXSBj7E pic.twitter.com/ibwgORIHIbNaive RAG vs. Blockify! There's a new RAG approach that: – cuts corpus size by 40x.
– reduces tokens per query by 3x.
– improves vector search relevance by 2.3x. Blockify GitHub: https://
github.com/iternal-techno
logies-partners/blockify-agentic-data-optimization
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3D Deep Learning with Python — PyTorch3D for Computer Vision
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3D Deep Learning with Python — Design and develop Computer Vision models with 3D data using PyTorch3D: http://
amzn.to/491yDwh v/ @PacktDataML ————
#AI #MachineLearning #ML #DataScience #DataScientist #PyTorch -
Deep Learning with TensorFlow and Keras 3rd Ed. Book Announcement
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Deep Learning with TensorFlow and Keras — Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models (3rd Ed., 667 pages): http://
amzn.to/3gitVEJ v/ @PacktDataML —————
#DataScientist #DataScience #AI #MachineLearning #ML -
Enhance Generative AI with RAG and Internal Data
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Unlocking Data with #GenerativeAI and RAG — Enhance Generative AI systems by integrating internal data with large language models using RAG: http://
amzn.to/3PtFHdv v/ @PacktDataML -
Scikit-learn Cookbook — 80+ Machine Learning Recipes
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Scikit-learn Cookbook — 80+ recipes for #MachineLearning in Python with scikit-learn [3rd Edition]: http://
amzn.to/4oDGOq7 v/ @PacktDataML 𝓒𝓸𝓷𝓽𝓮𝓷𝓽𝓼:
Common Conventions & API Elements of Scikit-Learn
Pre-Model Workflow and Data Preprocessing
Dimensionality -
Practical Guide to Reinforcement Learning from Human Feedback released
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New release from @PacktDataML available at http://
amzn.to/3PMn1ZL A Practical Guide to Reinforcement Learning from Human Feedback (RLHF). Amazon Summary: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -
New benchmark for evaluating autonomous AI agent performance
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a researcher at ICML opens his paper with a question. what does your AI agent do when nobody’s watching? he builds a benchmark. multi-step tasks. tool use. coding assistants, research agents, the kind of thing you trust to run for hours without supervision. he gives the
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Build Production-Ready AI Agent Systems
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and