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6 articles
A step-by-step guide to using multimodal LLMs like Gemini 2.0 Flash for structured invoice data extraction, covering prompt engineering techniques, Python implementation, model comparison between Gemini 1.5 Pro and 2.0 Flash, and the future of AI-powered image analysis.
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A technical deep-dive into building an AI-powered GitHub issue resolution system using repository mapping, LLM-based fix generation, and automated patch evaluation. Includes full Python implementation of the RepoMap class, AIAgentSystem, prompt engineering strategies, and evaluation results on the SWE-bench Lite dataset.
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A practical case study on handling missing time-series data from a utility company meter dataset using four approaches: Prophet-based imputation, mean-based imputation, IQR-based outlier handling, and KNN imputation, with full Python code and comparison of each method.
A comparative analysis of traditional OCR-based invoice extraction versus Vision LLMs like GPT-4V and Claude Vision, with code examples, accuracy benchmarks, and practical guidance for choosing the right approach.
An in-depth look at how Generative AI is reshaping healthcare, finance, marketing, design, and gaming, covering core technologies like Transformers, GANs, Diffusion Models, and VAEs, alongside emerging trends in ethics, workplace productivity, real-time applications, and synthetic data.
A comprehensive overview of Natural Language Processing, covering core techniques like tokenization and transformers, key industry applications in healthcare, legal, and customer service, recent advancements in LLMs and multimodal models, and emerging trends shaping the future of NLP.
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