Author

QuarkAndCode

@QuarkAndCode

articles: 85
total claps: 744
top claps: 126
avg read: 9.2 min
paywalled: 85
active: 2025-09-15 → 2026-07-21

Wiki topics

LLM · Large Language Models · 26 RAG · RAG & Retrieval · 17 FT · Fine-tuning & Adaptation · 11 ML · Machine Learning · 10 EDU · Education & Learning · 10 SAF · Safety & Alignment · 9 AI · AI · General · 8 📰 · Journalism & News · 7

Top tags

#graphrag ·7 #machine-learning ·7 #knowledge-graph ·6 #fine-tuning ·5 #generative-ai ·5 #large-language-models ·5 #language-model ·4 #entity-extraction ·4 #prompt-engineering ·4 #ai-alignment ·3

GEN AI

QU QuarkAndCode

GraphRAG Indexing Pipeline: How to Build the Graph End to End

A strong graph index is more than just a collection of embeddings with a viewer. In modern GraphRAG systems, the index acts as a layered…

Mar 30, 2026 · 9 min read · 126 claps paywalled #graphrag #knowledge-graph #indexing-pipeline

GraphRAG Indexing Pipeline: How to Build the Graph End to End

TCH SOC AI MDA

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How LLMs Are Built: Scaling Laws and Emergent AI Abilities

Large language models, or LLMs, can seem almost magical when you first try them. You might ask for an explanation, a poem, a business plan…

May 16, 2026 · 13 min read · 113 claps paywalled #large-language-models #scaling-law #emergent-abilities

How LLMs Are Built: Scaling Laws and Emergent AI Abilities

QU QuarkAndCode

How to Build Your First Knowledge Graph from Documents

Most organizations already have the raw material for a useful knowledge graph. This information is found in PDFs, reports, policies…

Apr 22, 2026 · 10 min read · 97 claps paywalled #knowledge-graph #graphrag #entity-extraction

How to Build Your First Knowledge Graph from Documents

AI MDA

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Supervised Fine-Tuning (SFT) for LLMs: Complete Guide

Large language models are impressive, but a raw pretrained model is not automatically a helpful assistant. It may know a great deal about…

May 19, 2026 · 11 min read · 62 claps paywalled #supervised-fine-tuning #sft #large-language-models

Supervised Fine-Tuning (SFT) for LLMs: Complete Guide

HUM AI

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Pretraining Objectives and Training Process: A Complete Guide to AI Model Training

Pretraining serves as the foundational stage that enables the capabilities of many modern AI systems. Before a model can answer questions…

May 14, 2026 · 13 min read · 53 claps paywalled #pretraining-objectives #ai-model-training #machine-learning

Pretraining Objectives and Training Process: A Complete Guide to AI Model Training

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How LLMs Are Built: Checkpoints, Loss Curves & Training Stability

Large language models can seem mysterious because their answers look so polished. You ask a question, and the model replies in paragraphs…

May 17, 2026 · 13 min read · 52 claps paywalled #large-language-models #modelcheckpoint #loss-curve

How LLMs Are Built: Checkpoints, Loss Curves & Training Stability

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Building the Graph: Entity Extraction from Unstructured Text

Entity extraction from unstructured text means finding important information in natural language and turning it into structured data. This…

Mar 26, 2026 · 8 min read · 41 claps paywalled #entity-extraction #knowledge-graph #named-entity-recognition

Building the Graph: Entity Extraction from Unstructured Text

AI TCH

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Open-Source LLMs 2026: Choose, Evaluate & Deploy Self-Hosted Models

Learn how to pick open-source and open-weight LLMs, check licenses, evaluate benchmarks, and deploy privately with confidence for real…

Jan 07, 2026 · 9 min read · 32 claps paywalled #opensource-llms #self-hosted-ai #llm-deployment

Open-Source LLMs 2026: Choose, Evaluate & Deploy Self-Hosted Models

AI HUM

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RLHF Explained: Fine-Tuning and AI Alignment with Human Feedback

Artificial intelligence is now very good at predicting words. If you give a large language model the start of a sentence, it can usually…

May 23, 2026 · 11 min read · 30 claps paywalled #rlhf #ai-alignment #fine-tuning

RLHF Explained: Fine-Tuning and AI Alignment with Human Feedback

SPT AI MDA

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Tokenization and Vocabulary Design: How Tokens Shape AI Language, Models

Before a language model can answer a question, translate a sentence, summarize a report, or write a poem, it has to do something…

May 13, 2026 · 11 min read · 25 claps paywalled #tokenization #design-vocabulary #language-model

Tokenization and Vocabulary Design: How Tokens Shape AI Language, Models

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Knowledge Graphs: Normalization, Deduplication, and Entity Resolution

A knowledge graph is only useful if it accurately represents the world. This may seem straightforward, but many graph projects struggle…

Mar 27, 2026 · 8 min read · 23 claps paywalled #knowledge-graph #entity-resolution #data-normalization

Knowledge Graphs: Normalization, Deduplication, and Entity Resolution

MDA DSN TCH

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Mastering Plotly in Python: Maps, Plotly Express & Dashboards

Plotly and Plotly Express in Python to build interactive charts, maps, and dashboards that turn raw data into clear, engaging stories.

Dec 04, 2025 · 10 min read · 20 claps paywalled #plotly #data-visualization-python #plotly-express

Mastering Plotly in Python: Maps, Plotly Express & Dashboards

ECO HUM AI SCI

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ML Experiment Tracking: Complete Guide, Tools & Best Practices

What ML experiment tracking is, why it matters, and how to implement it with modern tools, from Neptune to FastTrackML.

Dec 14, 2025 · 10 min read · 18 claps paywalled #machine-learning #experiment-tracking #mlops

ML Experiment Tracking: Complete Guide, Tools & Best Practices

BIO SCI HUM MDA AI MED

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Molecular Dynamics Simulation Explained: Atomic-Level Movies for Drug Discovery, Materials &…

If you’ve ever wondered how a protein folds, how a drug finds its target, or why a material behaves differently when it’s heated or…

Mar 05, 2026 · 8 min read · 10 claps paywalled #molecular-dynamics #computational-chemistry #biomolecular-simulation

Molecular Dynamics Simulation Explained: Atomic-Level Movies for Drug Discovery, Materials &…

SOC AI

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GraphRAG Explained: Neo4j Cypher AI + Knowledge Graph RAG Guide

Large language models can sound confident even when they’re wrong. That’s not a personality flaw — it’s how they work: they generate likely…

Feb 11, 2026 · 10 min read · 7 claps paywalled #graphrag #neo4j #cypher-ai

GraphRAG Explained: Neo4j Cypher AI + Knowledge Graph RAG Guide

SCI AI

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How to Install GraphRAG and Create Your First Workspace

If regular RAG keeps giving you scattered answers, GraphRAG is often the upgrade that makes responses more intelligent. Rather than…

Mar 22, 2026 · 9 min read · 6 claps paywalled #graphrag #graphrag-setup #knowledge-graph

How to Install GraphRAG and Create Your First Workspace

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Fine-Tuning vs RAG: When to Use Each for Better AI Apps

The choice between fine-tuning and RAG often sounds more complicated than it needs to be. In plain language, both are ways to make a large…

Jun 03, 2026 · 11 min read · 5 claps paywalled #fine-tuning #rags #llm

Fine-Tuning vs RAG: When to Use Each for Better AI Apps

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Function Calling and Tool Use: How AI Agents Automate Workflows

For years, chatbots mainly just answered questions. You would ask something, get a reply, and that was it. This was helpful, but also…

Jun 04, 2026 · 17 min read · 3 claps paywalled #llm-function-calling #tool-use #automation

Function Calling and Tool Use: How AI Agents Automate Workflows

AI LIF

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Agentic GraphRAG: Tool Use, Planning, and Multi-Hop RAG Workflows

Agentic GraphRAG combines two main ideas. GraphRAG is a graph-based method that turns unstructured text into entities, relationships…

Apr 17, 2026 · 8 min read · 3 claps paywalled #agentic-graphrag #graphrag #multi-hop-reasoning

Agentic GraphRAG: Tool Use, Planning, and Multi-Hop RAG Workflows

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Hybrid Retrieval for RAG: Combining Graph, Vector, and Keyword Search

Hybrid retrieval is what happens when search stops pretending there is one perfect way to find information. Keyword search is good at exact…

Apr 03, 2026 · 6 min read · 3 claps paywalled #hybrid-retrieval #graph-search #vector-search

Hybrid Retrieval for RAG: Combining Graph, Vector, and Keyword Search

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How Text Becomes Numbers in LLMs: Tokens, Embeddings, and AI Language Processing

Every time you type a sentence into a large language model, the model does not “read” it the way a person does. It does not see words as…

Apr 28, 2026 · 13 min read · 2 claps paywalled #llm-tokenization #ai-embedding #token-ids

How Text Becomes Numbers in LLMs: Tokens, Embeddings, and AI Language Processing

LIF AI

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GraphRAG Tuning and Optimization: CLI & Python API Guide

GraphRAG becomes valuable when ordinary vector RAG starts reducing a rich corpus to a few disconnected snippets. According to Microsoft’s…

Apr 09, 2026 · 10 min read · 2 claps paywalled #graphrag #graphrag-cli #api-python

GraphRAG Tuning and Optimization: CLI & Python API Guide

AI SCI

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Quantum Decoherence Explained: Causes, Noise Control & Error Correction

How quantum decoherence, noise, and error correction shape today’s NISQ devices and the roadmap to practical quantum computing.

Dec 12, 2025 · 10 min read · 2 claps paywalled #quantum-decoherence #quantum-noise #quantum-error-correction

Quantum Decoherence Explained: Causes, Noise Control & Error Correction

TCH

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Change Detection Without the Gotchas: Angular OnPush, Signals & Zoneless Explained

Angular change detection demystified: boost performance with OnPush, signals, and zoneless. Avoid pitfalls and migrate safely to Angular…

Oct 02, 2025 · 12 min read · 1 claps paywalled #angular #change-detection #onpush

Change Detection Without the Gotchas: Angular OnPush, Signals & Zoneless Explained

TCH

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Zero-Copy I/O and io_uring for High-Performance Async Servers

Learn how zero-copy I/O and io_uring boost Linux servers with fewer copies, faster async networking, and patterns in Go, Node.js and…

Nov 21, 2025 · 12 min read · 1 claps paywalled #zero-copy-io #iouring #asynchronousio