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Apr 13, 2026 · Artificial Intelligence

NotebookLM Review: How This AI Assistant Turns Hours of Docs into Instant Knowledge

The article examines Google’s NotebookLM, an AI‑powered research assistant that lets users upload PDFs, slides, videos and other sources, then generates searchable answers, audio overviews, study guides, mind maps, quizzes and slide decks, while outlining quick setup steps, advanced use cases, and common pitfalls.

AI Research AssistantNotebookLMaudio overviews

0 likes · 13 min read

NotebookLM Review: How This AI Assistant Turns Hours of Docs into Instant Knowledge

SuanNi

Apr 9, 2026 · Artificial Intelligence

Can AI Agents Translate Chemistry Papers into Fully Automated Lab Experiments?

This article details how a multi‑agent AI system reads massive chemistry literature, extracts and cleans synthesis steps, converts them into a universal chemical description language, validates the generated code through layered checks and simulations, and finally drives robotic platforms to reproduce experiments, revealing both successes and limitations.

AIChemistry AutomationCode Generation

0 likes · 13 min read

Can AI Agents Translate Chemistry Papers into Fully Automated Lab Experiments?

Model Perspective

Apr 8, 2026 · Artificial Intelligence

Distilling Your Own Thinking from AI Chat Logs

The article explores how AI model "distillation" can turn personal chat histories into a digital twin that reveals explicit knowledge, thinking patterns, and cognitive blind spots, while outlining practical steps to extract skill lists, mental models, and boundaries from one’s own AI conversations.

AIRAGknowledge extraction

0 likes · 11 min read

Distilling Your Own Thinking from AI Chat Logs

Alibaba Cloud Developer

Dec 26, 2025 · Artificial Intelligence

How to Build a Fully Automated Knowledge‑Extraction Pipeline for AI Agents with Python

This article presents a complete end‑to‑end pipeline that automatically extracts, generalizes, incrementally updates, and vector‑syncs knowledge from diverse sources such as tickets, documents, and SQL code, turning the traditionally labor‑intensive knowledge‑base construction for agents into a low‑effort, continuously maintainable Python‑driven solution.

LLMPythonRAG

0 likes · 15 min read

How to Build a Fully Automated Knowledge‑Extraction Pipeline for AI Agents with Python

DataFunSummit

Jul 9, 2024 · Artificial Intelligence

Applying Large Language Models to Recommendation Systems at Ant Group

This article details Ant Group's research on integrating large language models into recommendation pipelines, covering background challenges, knowledge extraction, teacher‑student distillation, experimental results, and practical Q&A for improving bias, efficiency, and cold‑start performance.

AI researchAnt Groupknowledge extraction

0 likes · 14 min read

Applying Large Language Models to Recommendation Systems at Ant Group

DataFunSummit

Jul 6, 2024 · Artificial Intelligence

Synergy Between Large Language Models and Knowledge Graphs: Recent Advances, Evaluation, and Future Integration

This article reviews the rapid progress of large language models and their complementary relationship with knowledge graphs, covering comparative strengths, knowledge extraction and completion, evaluation benchmarks, deployment benefits, complex reasoning support, and prospects for interactive fusion toward more reliable and explainable AI systems.

AI EvaluationKnowledge Graphsknowledge extraction

0 likes · 12 min read

Synergy Between Large Language Models and Knowledge Graphs: Recent Advances, Evaluation, and Future Integration

NewBeeNLP

Jun 24, 2024 · Artificial Intelligence

How Domain Large Models Are Shaping the Future of AI: Challenges and Solutions

This article reviews Fudan University's Knowledge Factory Lab research on domain large models, covering background, three major deployment challenges, data‑selection strategies, ability‑enhancement techniques, collaborative workflows, and retrieval‑augmented generation methods that aim to make large models practical for real‑world tasks.

Model Alignmentdomain adaptationknowledge extraction

0 likes · 18 min read

How Domain Large Models Are Shaping the Future of AI: Challenges and Solutions

NewBeeNLP

May 15, 2024 · Artificial Intelligence

How Large Language Models and Knowledge Graphs Can Boost Each Other

This talk reviews recent advances in large language models, compares them with knowledge graphs, explores how LLMs enhance knowledge extraction and completion, examines how knowledge graphs aid LLM evaluation and safe deployment, and outlines future interactive integration between the two technologies.

AI researchKnowledge GraphsModel Evaluation

0 likes · 13 min read

How Large Language Models and Knowledge Graphs Can Boost Each Other

AntTech

Apr 19, 2024 · Artificial Intelligence

OneKE: Open-Source Bilingual Knowledge Extraction Framework for Large Language Models

OneKE, an open‑source bilingual (Chinese‑English) knowledge extraction framework jointly developed by Ant Group and Zhejiang University, enables efficient extraction of entities, relations, and events to build domain knowledge graphs that enhance large language models’ reasoning, reduce hallucinations, and support applications in medical, financial, and governmental sectors.

Knowledge Graphsartificial intelligencebilingual

0 likes · 5 min read

OneKE: Open-Source Bilingual Knowledge Extraction Framework for Large Language Models

DataFunSummit

Aug 16, 2023 · Artificial Intelligence

Kuaipedia: Building a Short‑Video Encyclopedia with Multimodal Knowledge Extraction

This article introduces Kuaipedia, Kuaishou's multimodal short‑video encyclopedia, detailing its background, system architecture, knowledge‑video recognition pipeline, multimodal entity linking techniques, and downstream applications, while also providing implementation insights and a brief Q&A.

KuaipediaMultimodal AIentity linking

0 likes · 12 min read

Kuaipedia: Building a Short‑Video Encyclopedia with Multimodal Knowledge Extraction

Zhuanzhuan Tech

Jun 28, 2023 · Backend Development

Extracting Business System Knowledge through FSM‑X Visualization: A Practical Exploration

This article describes a practical approach to automatically extract and visualize business system knowledge from code by abstracting workflow control logic into a generalized design pattern using the FSM‑X state‑machine framework, discussing its background, methodology, implementation details, and current limitations.

BackendDomain-Driven Designknowledge extraction

0 likes · 10 min read

Extracting Business System Knowledge through FSM‑X Visualization: A Practical Exploration

DataFunTalk

Jun 23, 2023 · Artificial Intelligence

DeepKE-LLM: An Open‑Source Large Language Model Toolkit for Knowledge Extraction

DeepKE-LLM is an open‑source, extensible knowledge‑graph extraction framework that leverages large language models for entity, relation, and attribute extraction, supports multiple LLMs, provides installation scripts, various usage modes, fine‑tuning pipelines, and integrates with the KnowLM project for advanced instruction‑following capabilities.

DeepKEFine-tuningLLM

0 likes · 8 min read

DeepKE-LLM: An Open‑Source Large Language Model Toolkit for Knowledge Extraction

DataFunTalk

May 31, 2023 · Artificial Intelligence

Why GPT Can Exhibit Intelligence Through Next‑Token Prediction: A Comprehensive Exploration of Compression, Knowledge Circuits, and Model Scaling

This article examines the debate over whether large language models truly possess intelligence, arguing that next‑token prediction functions as a form of lossless data compression whose efficiency reflects intelligence, and it surveys research on knowledge extraction, neuron semantics, circuit competition, scaling effects, and the broader philosophical implications of GPT as a mirror of the world’s parameters.

GPTModel ScalingNext Token Prediction

0 likes · 59 min read

Why GPT Can Exhibit Intelligence Through Next‑Token Prediction: A Comprehensive Exploration of Compression, Knowledge Circuits, and Model Scaling

ITPUB

Aug 20, 2022 · Databases

Unlocking Knowledge Graphs: From Basics to Real‑World Applications

This article introduces the fundamentals of knowledge graphs, explores their research dimensions—including knowledge engineering, NLP, databases, and machine learning—examines graph database storage models, discusses their relevance to AI and big data, and showcases the authors' own graph‑based projects and case studies.

AIKnowledge GraphRDF

0 likes · 14 min read

Unlocking Knowledge Graphs: From Basics to Real‑World Applications

DataFunSummit

Aug 3, 2022 · Artificial Intelligence

AliMe MKG: Multimodal Knowledge Graph for Live E‑commerce and Its Technical Exploration

This report presents AliMe MKG, a multimodal knowledge graph designed for live e‑commerce, detailing its business background, construction and application, the three types of multimodal knowledge (triples, sentences, and visual media), the underlying extraction techniques, and its deployment in digital‑human anchors and intelligent live‑room assistants.

AIDigital Humane‑commerce

0 likes · 19 min read

AliMe MKG: Multimodal Knowledge Graph for Live E‑commerce and Its Technical Exploration

DataFunSummit

Dec 8, 2021 · Artificial Intelligence

Knowledge Graph Forum at DataFunCon – Speakers, Topics, and Registration Details

The DataFunCon Knowledge Graph Forum on December 18 gathers leading experts from academia and industry to discuss large‑scale knowledge graph construction, storage, applications, and challenges, offering attendees insights into cutting‑edge AI techniques, graph databases, and practical deployment strategies across multiple domains.

Knowledge Graphartificial intelligencegraph databases

0 likes · 11 min read

Knowledge Graph Forum at DataFunCon – Speakers, Topics, and Registration Details

DataFunSummit

Nov 29, 2020 · Artificial Intelligence

Vertical Domain Knowledge Graph Construction with OpenIE Techniques

This article explores the challenges of enterprise knowledge management and presents a comprehensive OpenIE-based approach for building vertical domain knowledge graphs, covering data extraction, SPO triple generation, case studies, and applications such as chatbots, semantic search, and intelligent QA.

Enterprise AIKnowledge GraphOpenIE

0 likes · 18 min read

Vertical Domain Knowledge Graph Construction with OpenIE Techniques

Tencent Cloud Developer

Sep 1, 2019 · Artificial Intelligence

Fundamentals and Practical Implementation of Knowledge Graphs and Attribute Extraction

The article surveys the evolution and core components of knowledge graphs—from early Linked Data concepts to modern semantic networks—detailing the end‑to‑end pipeline of data acquisition, cleaning, extraction, and fusion, and showcases Tencent Cloud’s Merak framework and encyclopedia KG, highlighting model choices, performance benchmarks, and real‑world applications such as recommendation and intelligent Q&A.

AIBERTKnowledge Graph

0 likes · 13 min read

Fundamentals and Practical Implementation of Knowledge Graphs and Attribute Extraction

DataFunTalk

Dec 4, 2018 · Artificial Intelligence

Application and Exploration of Financial Knowledge Graphs

This article presents a comprehensive overview of financial knowledge graphs, covering their historical evolution, theoretical foundations, technical stack, implementation steps, and real‑world case studies in banking, regulatory technology, and securities, while highlighting community resources for AI and big‑data practitioners.

AIBig DataFinancial AI

0 likes · 14 min read

Application and Exploration of Financial Knowledge Graphs