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
@debashis_dutta
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Building LLMs: Comprehensive Guide to Architecture and Ethics
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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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Chip Huyen’s Framework for Defining and Developing AI Agents
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Day 5 – 25 Days of AI for ALL in 2025 Shaping the Future of AI Agents: Chip Huyen’s 8,000-Word Masterpiece AI-powered agents are one of the most exciting and fast-evolving areas of technology. Yet, there’s still no unified framework for defining, developing, and
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Generative AI Power: Data 2030 Summit MEA Insights
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The Power of Generative AI: My Talk at the Data 2030 Summit MEA The Power of Generative AI: My Talk at the Data 2030 Summit MEA At the Data 2030 Summit MEA in Riyadh, Kingdom of Saudi Arabia, we gathered to explore the intersection of data management, AI, and
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Google Quantum Chip Solves Problems in Minutes Not Septillion Years
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BREAKING News :
Google makes quantum computing breakthrough with new chip capable of solving computational problems in under 5 minutes, that would otherwise take the leading supercomputer: 10,000,000,000,000,000,000,000,000 years. cc @sundarpichai @GoogleQuantumAI -
NextGen e-Governance Summit 2024 Saudi Arabia Speaker
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I am honored to have participated as a speaker, moderator as well as panelist in the #NextGen e-Governance Summit 2024, held on November 20, 2024, at the Voco Riyadh, Kingdom of Saudi Arabia. This summit convened over numerous key decision-makers from various ministries,
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Capgemini’s Future-Ready Blueprint for Tomorrow’s Business
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Here's an even more dynamic and en **Future-Ready or Falling Behind? @Capgemini “Conversations for Tomorrow” Shows Us What’s Next!** Capgemini’s latest report isn’t just an industry update—it’s a blueprint for navigating the future of business. The trends highlighted here
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Stanford CS229: Building Large Language Models Explained
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Stanford’s CS229 just dropped an absolute must-watch: Building Large Language Models! In this jam-packed 1.5-hour lecture, they break down how to create models like ChatGPT—from pretraining (language modeling) to post-training (SFT/RLHF). Get the inside track on how #AI
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Meta Releases MobileLLM: Depth-First Approach for Smaller Models
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@Meta has released MobileLLM models with 125M, 350M, 600M, and 1B checkpoints! Key Highlights: Depth over Width: Challenging scaling norms (Kaplan et al., 2020), Meta emphasizes depth to improve concept capture and model performance in smaller LLMs. Embedding
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Anthropic Launches Computer Use API for Claude
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Major Innovations from Anthropic: Unveiling the Future of AI! Anthropic has been hard at work, and they have some game-changing updates to share: Computer Use API They’ve developed an advanced API that empowers Claude to perceive and interact with computer interfaces.