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fix: Update profile image links to use a consistent URL format across documentation
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docs/Amazon-to-Scrap-Local-Alexa-Processing.md

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keywords: amazon alexa, cloud voice processing, AI privacy concerns, voice assistant security, generative AI, amazon echo, smart home privacy, amazon voice recordings, alexa local processing, smart assistant AI, privacy-first technology, AI-driven voice recognition, echo device limitations, voice data security, cloud-based AI, amazon echo show, amazon prime subscription, AI-powered voice assistants, amazon voice recognition, amazon privacy policy
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author: Suman Sauarbh
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linkedInUrl: https://www.linkedin.com/in/ssumansaurabh/
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image: https://media.licdn.com/dms/image/v2/D5603AQEDru6Q4UkzEg/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1681498321113?e=1730332800&v=beta&t=PM0PsCMZs4Ar0TIweuSdqU-P7kuWLm9gmEZ_spGFDsw
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image: https://www.penify.dev/_next/static/media/suman.1cf25c09.webp
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![Penify code docs](../public/images/docstring-banner.png)

docs/Streamline-LLM-Applications-with-LiteLLM.md

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keywords: LiteLLM Proxy, LLM applications, streamline LLM, LLM integration, API standardization, OpenAI format, error handling, logging LLM, token tracking, streaming LLM, developer productivity, software engineering, AI middleware, Docker LLM, cloud deployment, performance optimization, secure LLM, scalable LLM apps
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author: Suman Sauarbh
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linkedInUrl: https://www.linkedin.com/in/ssumansaurabh/
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image: https://media.licdn.com/dms/image/v2/D5603AQEDru6Q4UkzEg/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1681498321113?e=1730332800&v=beta&t=PM0PsCMZs4Ar0TIweuSdqU-P7kuWLm9gmEZ_spGFDsw
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image: https://www.penify.dev/_next/static/media/suman.1cf25c09.webp
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# How to Streamline LLM Applications with LiteLLM Proxy: A Simple Guide

docs/automated-source-code-documentation.md

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keywords: automated code documentation, source code summarization, deep learning for code, software engineering, natural language processing, code2vec, AST-based models, machine learning in software development, Java documentation, Python documentation, code comment generation, method name prediction, neural networks for code analysis, transformer models in coding, software maintenance, developer productivity, code understanding, AI in software engineering, automatic programming, code2seq
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author: Suman Sauarbh
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linkedInUrl: https://www.linkedin.com/in/ssumansaurabh/
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image: https://media.licdn.com/dms/image/v2/D5603AQEDru6Q4UkzEg/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1681498321113?e=1730332800&v=beta&t=PM0PsCMZs4Ar0TIweuSdqU-P7kuWLm9gmEZ_spGFDsw
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image: https://www.penify.dev/_next/static/media/suman.1cf25c09.webp
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![Penify code docs](../public/images/docstring-banner.png)

docs/azureml-hyperdrive.md

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keywords: Azure Machine Learning, HyperDrive, AutoML, Hyperparameter Tuning, Machine Learning Optimization, Automated Machine Learning, AI Model Training, Data Science Automation, ML Model Selection, Cloud AI Tools, Deep Learning Optimization, AI in Azure, ML Workflow Automation, AI for Developers, Model Training in Azure
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author: Suman Saurabh
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linkedInUrl: https://www.linkedin.com/in/ssumansaurabh/
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image: https://media.licdn.com/dms/image/v2/D5603AQEDru6Q4UkzEg/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1681498321113?e=1730332800&v=beta&t=PM0PsCMZs4Ar0TIweuSdqU-P7kuWLm9gmEZ_spGFDsw
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image: https://www.penify.dev/_next/static/media/suman.1cf25c09.webp
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Azure Machine Learning provides two powerful features for model training and optimization: **HyperDrive** and **Automated Machine Learning (AutoML)**. While both aim to enhance model performance, they serve different purposes and target different levels of expertise. Here’s a breakdown of the key differences:

docs/building-cursor-like-ai-code-assistant.md

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layout: doc
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author: Suman Saurabh
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linkedInUrl: https://www.linkedin.com/in/ssumansaurabh/
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image: https://media.licdn.com/dms/image/v2/D5603AQEDru6Q4UkzEg/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1681498321113?e=1730332800&v=beta&t=PM0PsCMZs4Ar0TIweuSdqU-P7kuWLm9gmEZ_spGFDsw
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image: https://www.penify.dev/_next/static/media/suman.1cf25c09.webp
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# Building a Cursor-like AI Code Assistant: A Comprehensive Implementation Guide

docs/chain-of-draft.md

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keywords: Chain of Draft, CoD, Chain of Thought, CoT, large language models, LLM reasoning, efficient prompting, token reduction, latency optimization, AI reasoning strategies, human-inspired AI, arithmetic reasoning, commonsense reasoning, symbolic reasoning, GPT-4o, Claude 3.5 Sonnet, real-time AI applications, cost-effective AI, concise reasoning, Zoom Communications, AI efficiency, machine learning prompting, practical AI deployment
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author: Suman Sauarbh
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linkedInUrl: https://www.linkedin.com/in/ssumansaurabh/
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image: https://media.licdn.com/dms/image/v2/D5603AQEDru6Q4UkzEg/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1681498321113?e=1730332800&v=beta&t=PM0PsCMZs4Ar0TIweuSdqU-P7kuWLm9gmEZ_spGFDsw
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image: https://www.penify.dev/_next/static/media/suman.1cf25c09.webp
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# Chain of Draft: Thinking Faster with Less

docs/code-documentation-with-cli.md

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keywords: Penify-CLI, code documentation, automation, AI-powered documentation, developer tools, command-line interface, Git integration, software development, code maintainability, documentation best practices, time-saving tools, continuous integration
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author: Suman Sauarbh
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linkedInUrl: https://www.linkedin.com/in/ssumansaurabh/
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image: https://media.licdn.com/dms/image/v2/D5603AQEDru6Q4UkzEg/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1681498321113?e=1730332800&v=beta&t=PM0PsCMZs4Ar0TIweuSdqU-P7kuWLm9gmEZ_spGFDsw
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image: https://www.penify.dev/_next/static/media/suman.1cf25c09.webp
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# Automate Code Documentation with Penify-CLI

docs/command-line-tricks-developer-should-know.md

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keywords: Git, Git commands, command line, version control, developer tools, software development, Git tricks, Git tips, coding productivity, workflow optimization
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author: Suman Saurabh
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linkedInUrl: https://www.linkedin.com/in/ssumansaurabh/
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image: https://media.licdn.com/dms/image/v2/D5603AQEDru6Q4UkzEg/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1681498321113?e=1730332800&v=beta&t=PM0PsCMZs4Ar0TIweuSdqU-P7kuWLm9gmEZ_spGFDsw
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image: https://www.penify.dev/_next/static/media/suman.1cf25c09.webp
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# 20 Essential Git Command-Line Tricks for Developers

docs/commit-summary-with-cli.md

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keywords: Penify-CLI, commit summary generator, semantic commit messages, Git workflow, automated commits, AI-powered commits, developer tools, version control, commit message consistency, code documentation, time-saving tools, Git best practices
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author: Suman Sauarbh
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linkedInUrl: https://www.linkedin.com/in/ssumansaurabh/
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image: https://www.penify.dev/_next/static/media/suman.1cf25c09.webp
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# Simplify Git Commits with Penify-CLI's Commit Summary Generator

docs/common-docstring-format-in-python.md

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keywords: Python docstrings, PEP-8 style guide, PEP-257, Google docstring format, Epytext format, reStructuredText (rST), NumPy docstring format, code documentation, Python best practices, PEP-8
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author: Suman Sauarbh
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linkedInUrl: https://www.linkedin.com/in/ssumansaurabh/
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# Four Common Docstring format in Python according to PEP-8 Style Guide

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