3/ Chapter 2: Generative Models Learn how LLMs are scaled for massive datasets
Discover long-sequence modeling & distributed training
Decode the scaling laws behind state-of-the-art models Build systems that go BIG!
LLMS
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Scaling LLMs: Long-Sequence Modeling and Distributed Training
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Pre-training Foundations: Self-supervised Learning and LLM Architectures
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2/ Chapter 1: Pre-training Foundations
Demystify self-supervised learning
Explore architectures like encoder-decoder models
See how pre-training powers scalability in AI Master the backbone of LLMs like BERT! -
Building LLMs: Comprehensive Guide to Architecture and Ethics
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1/ Why You Need This Book
Written by Tong Xiao & Jingbo Zhu of Northeastern University’s NLP Lab & NiuTrans Research, this 200+ page masterpiece dives into: How LLMs are built (like GPT & BERT) Advanced prompting techniques Ethical alignment strategies (RLHF)
Let’s -

Foundations of Large Language Models: Essential Blueprint for AI
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Day 6 – 25 Days of AI for ALL in 2025 The AI revolution is here, and to lead it, you need the best resources. Enter “Foundations of Large Language Models” by Tong Xiao & Jingbo Zhu—a 200+ page masterwork that just dropped on arXiv! Let’s dive into this blueprint for LLM
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RAG-Driven Generative AI: Build Custom Retrieval Augmented Generation Pipelines
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RAG-Driven #GenerativeAI — Build custom Retrieval Augmented Generation pipelines: http://
amzn.to/3MWnIek v/ @PacktPublishing ——
#AI #MachineLearning #DataScience #GenAI #LLMs
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𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Implement RAG’s traceable outputs, linking each response to its source -

Deep Reinforcement Learning Hands-On Guide Third Edition
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Deep #ReinforcementLearning Hands-On — A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF: http://
amzn.to/3MV9o60 [Third Edition] v/ @PacktPublishing ——
#AI #MachineLearning #DeepLearning #DataScience #DataScientist
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𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: -

Unlocking Data with Generative AI and RAG Integration
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Unlocking Data with #GenerativeAI and RAG — Enhance Generative #AI systems by integrating internal data with large language models using RAG: https://
amzn.to/3PtFHdv v/ @PacktPublishing —————
#GenAI #LLMs #MachineLearning #KnowledgeGraph #DataScience #DataScientist #ad -

Super Study Guide on Transformers and Large Language Models Released
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Super Study Guide: Transformers & Large Language Models: http://
amzn.to/3SW6YYm by @afshinea & @shervinea Beautifully presented, excellent content, timely, thorough, educational #LLMs #MachineLearning #AI #GenAI #DataScience #DataScientist #GenerativeAI -
OpenAI o1: Revolutionary reasoning model beyond chat capabilities
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OpenAI o1 isn’t a chat model (and that’s the point)
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o3-mini lacks search capabilities compared to o3 research preview
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Best I can tell o3-mini is not going to be doing search. So don't expect the same capabilities as the o3 research preview.