Nijesh Kanjinghat🚀 Innovation Unleashed: Highlights from the InstructLab Hackathon! 🎉Over two exhilarating days, the InstructLab Hackathon brought together 40 passionate attendees from academia and industry to explore how…3d ago
Andrew Skabar, PhDGenerating Realistic Synthetic Financial Time SeriesA non-parametric approach using weighted, variable-width kernels to estimate conditional PDFsAug 30
Aniket MohanFine-Tuning Embedding Models for RAG: Unlocking the Power of Tailored RepresentationsIn the rapidly evolving field of natural language processing (NLP), embedding models have become fundamental tools for transforming raw…Jun 201Jun 201
InAccredianbyGaurika SehgalHarnessing the Power of Synthetic Data: A Comprehensive GuideExploring How Artificially Created Datasets Enhance Machine Learning, Mitigate Privacy Risks, and Drive Innovation Across IndustriesNov 18Nov 18
InGenerative AIbyKris NaleszkiewiczSynthetic IntelligenceA Deep Dive into Synthetic Data Generation for Enhanced Fraud DetectionMar 4Mar 4
Nijesh Kanjinghat🚀 Innovation Unleashed: Highlights from the InstructLab Hackathon! 🎉Over two exhilarating days, the InstructLab Hackathon brought together 40 passionate attendees from academia and industry to explore how…3d ago
Andrew Skabar, PhDGenerating Realistic Synthetic Financial Time SeriesA non-parametric approach using weighted, variable-width kernels to estimate conditional PDFsAug 30
Aniket MohanFine-Tuning Embedding Models for RAG: Unlocking the Power of Tailored RepresentationsIn the rapidly evolving field of natural language processing (NLP), embedding models have become fundamental tools for transforming raw…Jun 201
InAccredianbyGaurika SehgalHarnessing the Power of Synthetic Data: A Comprehensive GuideExploring How Artificially Created Datasets Enhance Machine Learning, Mitigate Privacy Risks, and Drive Innovation Across IndustriesNov 18
InGenerative AIbyKris NaleszkiewiczSynthetic IntelligenceA Deep Dive into Synthetic Data Generation for Enhanced Fraud DetectionMar 4
SangitapokhrelGenerating Fake Data in Python with Faker and DrawData : Synthetic Data GenerationSynthetic data refers to artificially generated data that mimics the characteristics of real-world data while containing no identifiable…May 261
InTowards DevbyShreya DikshitData Ingestion with Cloud Composer (Apache Airflow) — Part 1 — Synthetic Data CreationSynthetic Data can be really helpful for testing data pipelines, machine learning models without needing realistic customer data. In this…Nov 1
InTowards Data SciencebyAndrew Skabar, PhDEvaluating Synthetic Data — The Million Dollar QuestionAre my real and synthetic datasets random samples from the same parent distribution?Feb 145
