Published inTDS ArchiveRelation Extraction with Llama3 ModelsEnhanced relation extraction by fine-tuning Llama3–8B with a synthetic dataset created using Llama3–70BApr 26, 2024A response icon4Apr 26, 2024A response icon4
Published inTDS ArchiveCypher Generation: The Good, The Bad and The MessyMethods for creating fine-tuning datasets for text-to-Cypher generation.Jan 29, 2024Jan 29, 2024
Published inTDS ArchiveLeverage KeyBERT, HDBSCAN and Zephyr-7B-Beta to Build a Knowledge GraphLLM-enhanced natural language processing and traditional machine learning techniques are used to extract structure and to build a knowledge…Jan 7, 2024A response icon9Jan 7, 2024A response icon9
Published inTDS ArchiveTransforming text into vectors: TSDAE’s unsupervised approach to enhanced embeddingsCombine TSDAE pre-training on a target domain with supervised fine-tuning on a general-purpose corpus to enhance the quality of the…Oct 16, 2023Oct 16, 2023
Code Llama’s “Knowledge” of Neo4j’s Cypher Query LanguageA simple experiment into how does Code Llama with Neo4j’s query language CyperAug 28, 2023A response icon2Aug 28, 2023A response icon2
Topic Modeling with Healthcare Spark NLPHow to leverage Healthcare Spark NLP pretrained models to categorize a small collection of publications on equine colicMay 26, 2022May 26, 2022
Did Stacking Improve My PySpark Churn Prediction Model?Stacking with PySpark to predict customer churn for a fictional music platform Sparkify.Feb 17, 2022Feb 17, 2022
User Activity Based Churn Prediction With PySpark on an AWS-EMR ClusterAnalyze and predict customer churn for a fictional music platform Sparkify.Feb 17, 2022A response icon1Feb 17, 2022A response icon1
Web Scraping Mini ProjectExtract Text From Udacity Course Catalog Website Using Beautiful Soup and SeleniumSep 21, 2021Sep 21, 2021
Who Are the Data Professionals?Three way analysis of the StackOverflow Developers Annual Survey.Aug 18, 2021A response icon1Aug 18, 2021A response icon1