Published inTowards AIDocuments to Markdown Beyond Conventional Limits with gpt4.1 | ExtractThinkerConvert docs (PDFs, images) to quality Markdown for LLMs using ExtractThinker & GPT-4.1. Improve structure, reduce cleanup & compare…Apr 15A response icon4Apr 15A response icon4
Published inTowards AIBuilding an On-Premise Document Intelligence Stack with Docling, Ollama, Phi-4 | ExtractThinkerSecurely build an on-prem Document Intelligence stack with ExtractThinker & local LLMs. Keep data private. Perfect for fintech.Jan 16A response icon13Jan 16A response icon13
Published inTowards AIExtract any Document with Gemini 2.0 | Document Intelligence with ExtractThinkerPowerful IDP with ExtractThinker + Gemini 2.0: OCR, classification, splitting, extraction — build cost-effective document workflows.Dec 26, 2024A response icon4Dec 26, 2024A response icon4
Published inTowards AIScaling Document Extraction with O1, GPT4o, and Mini | ExtractThinkerUnlock scalable document processing with ExtractThinker — efficiently extract and classify data using models like O1 and GPT-4o.Nov 22, 2024A response icon2Nov 22, 2024A response icon2
Published inLevel Up CodingClaude 3.5 — The King of Document IntelligenceAchieving Near-Perfect Document Intelligence with Claude 3.5 Sonnet and Haiku. Classification, Splitting, and ExtractionOct 29, 2024A response icon15Oct 29, 2024A response icon15
Published inLevel Up CodingClassification Tree for LLMsTransforming Document Classification with Hierarchical Trees: Enhancing Large Language Models for Improved Accuracy and ScalabilitySep 24, 2024Sep 24, 2024
Published inLevel Up CodingAdvanced Document Classification with LLMsLLMs for document classification. Learn techniques like Type Mapping, Image Comparison, and Mixture of Models.Jun 18, 2024A response icon2Jun 18, 2024A response icon2
Published inTowards AIPhi-3 and Azure: PDF Data Extraction | ExtractThinkerHow to combine Azure Document Intelligence and Phi-3 to extract data from filesJun 9, 2024A response icon1Jun 9, 2024A response icon1
How Companies Use LLMs to Process 4,000 CVs for $1 | ExtractThinkerAutomate CV screening with ExtractThinker: Efficiently process 4,000 resumes for $1 using LLMs, reducing recruiter workloadMay 27, 2024A response icon4May 27, 2024A response icon4
Published inTowards AIAI-Supported Ego Development Measurement in Large DatasetsAI and Ego Development: Exploring the Scope Through a Detailed PhD Collaboration in Psychological ScalingMay 21, 2024May 21, 2024