InTowards AIbyJúlio Almeida·Apr 15, 2025Documents 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…A response icon5A response icon5
InTowards AIbyJúlio Almeida·Jan 16, 2025Building 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.A response icon12A response icon12
InTowards AIbyJúlio Almeida·Dec 26, 2024Extract 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.A response icon4A response icon4
InTowards AIbyJúlio Almeida·Nov 22, 2024Scaling 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.A response icon2A response icon2
InLevel Up CodingbyJúlio Almeida·Oct 29, 2024Claude 3.5 — The King of Document IntelligenceAchieving Near-Perfect Document Intelligence with Claude 3.5 Sonnet and Haiku. Classification, Splitting, and ExtractionA response icon15A response icon15
InLevel Up CodingbyJúlio Almeida·Sep 24, 2024Classification Tree for LLMsTransforming Document Classification with Hierarchical Trees: Enhancing Large Language Models for Improved Accuracy and Scalability
InLevel Up CodingbyJúlio Almeida·Jun 18, 2024Advanced Document Classification with LLMsLLMs for document classification. Learn techniques like Type Mapping, Image Comparison, and Mixture of Models.A response icon2A response icon2
InTowards AIbyJúlio Almeida·Jun 9, 2024Phi-3 and Azure: PDF Data Extraction | ExtractThinkerHow to combine Azure Document Intelligence and Phi-3 to extract data from filesA response icon1A response icon1
Júlio Almeida·May 27, 2024How 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 workloadA response icon4A response icon4
InTowards AIbyJúlio Almeida·May 21, 2024AI-Supported Ego Development Measurement in Large DatasetsAI and Ego Development: Exploring the Scope Through a Detailed PhD Collaboration in Psychological Scaling