This page shows the most relevant public items for llm, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Feb 28, 2026 • arXiv • Runquan Gui, Yafu Li, Xiaoye Qu, Ziyan Liu, Yeqiu Cheng, Yu Cheng
Large Language Models frequently produce correct final answers based on flawed or unfaithful intermediate reasoning steps. This paper proposes Step-Level Faithfulness Maximization, a training parad...
Paper • Mar 4, 2026 • arXiv • Zhiming Xue, Yujue Wang
Predictive models in logistics often act as black boxes, making them difficult for supply chain managers to trust. This paper integrates Temporal Graph Attention Networks with an LLM-driven reasoni...
Book • Sep 30, 2024 • Amazon • Denis Rothman
RAG-Driven Generative AI provides a detailed roadmap for designing, managing, and controlling multimodal AI pipelines that balance high performance with API cost efficiency. It offers deep explorat...
Book • May 20, 2025 • Amazon • Arindam Ganguly
Integrating generative AI breakthroughs into large-scale, production-grade enterprise applications presents significant architectural challenges. This enterprise-focused book takes a pragmatic appr...
Book • Jul 11, 2025 • Amazon • Salvatore Raieli, Gabriele Iuculano
This comprehensive guide empowers developers to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. It provides a ...
Book • May 17, 2024 • Amazon • Valentina Alto
As Large Language Models evolve from experimental research into core enterprise technology, developers need a practical roadmap to build reliable products. This book focuses entirely on the applica...
Book • Jun 18, 2024 • Amazon • James Phoenix, Mike Taylor
While many books focus strictly on backend infrastructure, this guide targets the crucial skill of optimizing the actual inputs that drive foundation models. Phoenix and Taylor explore the science ...
Book • Jan 9, 2024 • Amazon • Chris Fregly, Antje Barth, Shelbee Eigenbrode
Cloud infrastructure is the backbone of the modern generative AI boom, and AWS remains the dominant platform for enterprise deployment. This book provides a detailed architectural guide to building...
Book • Oct 15, 2024 • Amazon • Jay Alammar, Maarten Grootendorst
Known for his incredibly clear visual explanations of AI architectures, Jay Alammar teams up with Maarten Grootendorst to provide a deeply practical guide to using modern LLMs. This book focuses he...
Book • Jan 7, 2025 • Amazon • Chip Huyen
As AI transitions from research labs to production environments, the focus has shifted from training models to building robust applications around them. Chip Huyen, a leading voice in ML systems, o...
Book • Apr 1, 2025 • Amazon • Sebastian Raschka
This highly anticipated release takes readers on a deep, code-first journey into the inner workings of foundation models. Author Sebastian Raschka guides developers step-by-step through constructin...
Blog • Mar 19, 2026 • LangChain Blog • LangChain Team
This blog argues that while vibe coding enables rapid prototyping, it fails to scale for complex systems without structured frameworks. It introduces agent orchestration, memory systems, and evalua...
Paper • Feb 28, 2026 • arXiv • Anonymous
Recent advancements in agentic reasoning rely heavily on self-verification loops, where models constantly double-check their own logic. However, this often leads to excessive computational waste an...
Paper • Mar 4, 2026 • arXiv • G. Madan Mohan, Veena Kiran Nambiar, Kiranmayee Janardhan
As autonomous systems proliferate, standard capability benchmarks fail to evaluate the nuanced behavioral governance required for enterprise deployment. This research introduces Design Behaviour Co...
Paper • Mar 4, 2026 • arXiv • Jiawei Chen, Tianzhuo Yang, Guoxi Zhang, Jiaming Ji, Yaodong Yang, Juntao Dai
Aligning large language models to individual user values without compromising the core safety parameters of the foundation model is notoriously difficult. This paper introduces VISA, a shielded ada...
Book • Oct 15, 2023 • Amazon • Sinan Ozdemir
Designed for both developers and technical product managers, this guide offers a rapid, comprehensive onboarding to the world of large language models. Sinan Ozdemir breaks down the core components...
Book • Dec 1, 2025 • Manning • Micheal Lanham
This book provides a comprehensive guide to building AI agents powered by large language models, including multi-agent collaboration patterns. It covers modern protocols like MCP and explores how a...
Paper • Oct 14, 2025 • arXiv • Yuyao Ge, Lingrui Mei
This survey provides the first comprehensive overview of vibe coding as a formal discipline. It categorizes different development models and identifies key components such as LLMs, agents, and feed...
Book • Aug 31, 2023 • Amazon • Olivier Caelen, Marie-Alice Blete
This O'Reilly guide serves as a foundational text for developers looking to integrate the power of OpenAI's models into their software stack. It provides a comprehensive overview of the OpenAI API,...
Book • Dec 22, 2023 • Amazon • Ben Auffarth
LangChain has emerged as the premier orchestration framework for connecting large language models to external tools and databases. This practical guide walks developers through the process of build...
It ranks public content for llm using recent discussion, review, and engagement signals so you can triage faster. This guidance is specific to llm topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
Use weekly for fast-moving updates, monthly for stable trend confirmation, and all-time for evergreen references. This guidance is specific to llm topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
Use the linked entities section to jump to labs, companies, and experts connected to this topic and explore their timelines. This guidance is specific to llm topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
Yes. Use the follow button on this page to subscribe and track new high-signal activity. This guidance is specific to llm topic page on Attendemia and is written so it still makes sense without reading other sections on the page.