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Sphinx: Sphinx is a tool that makes it easy to create intelligent and beautiful documentation, written by Georg Brandl and licensed under the BSD license.
Taichi: Build world-class open-source graphics infrastructure and cloud platforms, making graphics computing benefit everyone.
Taitopia: The world’s first cloud-native 3D DCC platform. Create and share inspiring artworks with anyone, from anywhere, at any time.
Dasher v6：An information-efficient text-entry interface driven by natural contin ...</div></div></div><div class="recent-post-item"><div class="post_cover right_radius"><a href="/2024/08/19/2024q3/draft/188-1-mbzuai-help-link/" title="MBZUAI Quick Access Links"> <img class="post_bg" src="https://image.discover304.top/1726926639202.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="MBZUAI Quick Access Links"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/08/19/2024q3/draft/188-1-mbzuai-help-link/" title="MBZUAI Quick Access Links">MBZUAI Quick Access Links</a><div class="article-meta-wrap"><span class="article-meta"><i class="fas fa-thumbtack article-meta__icon sticky"></i><span class="sticky">Sticky</span><span class="article-meta__separator">|</span></span><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-08-19T15:40:46.000Z" title="Created 2024-08-19 23:40:46">2024-08-19</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/%E5%90%88%E4%BD%9C/">合作</a></span></div><div class="content">
d6b2705594faac2605c03c803e14c000213e2f993b3c5b0d3802738d01423e625a95aea05f06b2fe76c209e14bf1c5b28fad21b853d8fefa0a867e0640f83b28283c9fbf207127de62dbcbc2c7031d34b1df0312224229cc772cb86089963b977e4ce90a618fca58ca41b1a48f6da3e9c62976261fd4f1cd5f49fb57e382d444f52e53438fbc71c9ce30d962d712d5d4e10b7de6376d87428b1d2f6ace8eb89cadc6734dd5774a1cdb3e7612b5490c393f02a806db0b5f7f287455f1c9683abbb6b872a6ca4767fd01b4122e933d5720823cd7fe375857e50945d733b928ec3b83dade5cdd79ea2c4f78d3789f2f777d1887b882a29c96b7c ...</div></div></div><div class="recent-post-item"><div class="post_cover left_radius"><a href="/2024/10/03/2024q4/196-generative-agent/" title="UIST2023 Generative Agents: Interactive Simulacra of Human Behavior"> <img class="post_bg" src="https://image.discover304.top/1727972986837.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="UIST2023 Generative Agents: Interactive Simulacra of Human Behavior"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/10/03/2024q4/196-generative-agent/" title="UIST2023 Generative Agents: Interactive Simulacra of Human Behavior">UIST2023 Generative Agents: Interactive Simulacra of Human Behavior</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-10-03T11:41:51.000Z" title="Created 2024-10-03 19:41:51">2024-10-03</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/%E5%90%88%E4%BD%9C/">合作</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/AI/">AI</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Large-Language-Models/">Large Language Models</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Multi-Agent-Systems/">Multi-Agent Systems</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Generative-Agents/">Generative Agents</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Emergent-Behavior/">Emergent Behavior</a></span></div><div class="content">
d6b2705594faac2605c03c803e14c0008c69250ea2786399748dbac0b44e1aac75aa8c34f829bfa1c824c2d45765eac04e47766b0c7220ba480e769479c7aeea6440ba5a8a9f9b48a83b028bd1ed1c9ea5210c2d6a3a56d11e0a119e7fed7e6701a474efc8ed1a773fceb40b7a9a713a3e71c26f56ceee068926f7a28aa9bfa71f362edeebc232b4f6c2e51d4bfa4cb8594622284f0030f08eee26e2b35e6b074747d3675f94ddb2f514b8550ac3fad87fa428be9b5f13597885ba66ee1f53ff647bac80f928711911128b23088eaa258a41af86043b6cc5eddf15d84f5470302cb6900f0213afd632e93ff8e4258816ade979292d101d234 ...</div></div></div><div class="recent-post-item"><div class="post_cover right_radius"><a href="/2024/09/21/2024q3/195-moe/" title="Navigating the Complexity of Mixture of Experts (MoE) in Multi-Modal Systems"> <img class="post_bg" src="https://image.discover304.top/1726926461860.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="Navigating the Complexity of Mixture of Experts (MoE) in Multi-Modal Systems"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/09/21/2024q3/195-moe/" title="Navigating the Complexity of Mixture of Experts (MoE) in Multi-Modal Systems">Navigating the Complexity of Mixture of Experts (MoE) in Multi-Modal Systems</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-09-21T08:26:16.000Z" title="Created 2024-09-21 16:26:16">2024-09-21</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/Mixture-of-Experts/">Mixture of Experts</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Multi-Modal-AI/">Multi-Modal AI</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/LangChain/">LangChain</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/AI-Architecture/">AI Architecture</a></span></div><div class="content">IntroductionIn the rapidly evolving field of artificial intelligence, integrating diverse data modalities—such as text, images, audio, and sensor data—poses significant challenges. Traditional monolithic AI models often struggle to handle the exponential complexity that arises when processing multiple modalities simultaneously. This is where the Mixture of Experts (MoE) framework demonstrates its true value. While MoE in isolation may seem less impactful compared to powerful single-model AI solu ...</div></div></div><div class="recent-post-item"><div class="post_cover left_radius"><a href="/2024/09/19/2024q3/194-sustainablility/" title="Expanding Sustainability: Space Migration, Long-Lasting Products, and Humanity's Future"> <img class="post_bg" src="https://image.discover304.top/1726775487424.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="Expanding Sustainability: Space Migration, Long-Lasting Products, and Humanity's Future"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/09/19/2024q3/194-sustainablility/" title="Expanding Sustainability: Space Migration, Long-Lasting Products, and Humanity's Future">Expanding Sustainability: Space Migration, Long-Lasting Products, and Humanity's Future</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-09-19T15:24:50.000Z" title="Created 2024-09-19 23:24:50">2024-09-19</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/sustainability/">sustainability</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/space-migration/">space migration</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/long-lasting-products/">long-lasting products</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/human-survival/">human survival</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/future/">future</a></span></div><div class="content">Expanding the Concept of Sustainability: Beyond Green Energy and Into Humanity’s FutureWhen we hear the term “sustainability,” most people immediately think of environmental initiatives like renewable energy, reducing carbon footprints, or protecting ecosystems. While these are essential parts of the conversation, sustainability encompasses far more than just green energy. It’s a concept intricately tied to the long-term survival and flourishing of human society—what we could consider the “immor ...</div></div></div><div class="recent-post-item"><div class="post_cover right_radius"><a href="/2024/08/20/2024q3/189-6/" title="Introduction to Image Processing With Scikit-Image"> <img class="post_bg" src="https://image.discover304.top/1724179758387.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="Introduction to Image Processing With Scikit-Image"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/08/20/2024q3/189-6/" title="Introduction to Image Processing With Scikit-Image">Introduction to Image Processing With Scikit-Image</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-08-20T14:11:23.000Z" title="Created 2024-08-20 22:11:23">2024-08-20</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/Python/">Python</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Data-Science/">Data Science</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/scikit-image/">scikit-image</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Image-Processing/">Image Processing</a></span></div><div class="content">Introduction
In the vast field of data science, image processing has carved out a significant niche, providing tools and techniques to analyze and manipulate visual data. Python, with its rich ecosystem of libraries, offers several options for working with images. Among these, scikit-image stands out as a powerful, accessible tool dedicated to image processing, using NumPy arrays as image objects for easy integration with other scientific Python libraries.
In this post, we’ll explore how to use ...</div></div></div><div class="recent-post-item"><div class="post_cover left_radius"><a href="/2024/08/20/2024q3/189-5/" title="Understanding the Anatomy of a Matplotlib Figure"> <img class="post_bg" src="https://image.discover304.top/1724179615882.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="Understanding the Anatomy of a Matplotlib Figure"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/08/20/2024q3/189-5/" title="Understanding the Anatomy of a Matplotlib Figure">Understanding the Anatomy of a Matplotlib Figure</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-08-20T14:11:20.000Z" title="Created 2024-08-20 22:11:20">2024-08-20</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/Python/">Python</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Data-Science/">Data Science</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Matplotlib/">Matplotlib</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Data-Visualization/">Data Visualization</a></span></div><div class="content">Introduction
Matplotlib is one of the most popular Python libraries for data visualization. It provides an extensive range of tools to plot graphs that are highly customizable and suitable for a wide array of applications. Whether you are a data scientist, an engineer, or anyone who deals with graphical representations of data, understanding how to manipulate and customize your plots in Matplotlib can greatly enhance your ability to communicate data insights effectively.
In this post, we will ex ...</div></div></div><div class="recent-post-item"><div class="post_cover right_radius"><a href="/2024/08/20/2024q3/189-4/" title="Evaluating Classification Models With `Classification_report` in Scikit-Learn"> <img class="post_bg" src="https://image.discover304.top/1724179521627.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="Evaluating Classification Models With `Classification_report` in Scikit-Learn"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/08/20/2024q3/189-4/" title="Evaluating Classification Models With `Classification_report` in Scikit-Learn">Evaluating Classification Models With `Classification_report` in Scikit-Learn</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-08-20T14:11:17.000Z" title="Created 2024-08-20 22:11:17">2024-08-20</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/Python/">Python</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Machine-Learning/">Machine Learning</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/scikit-learn/">scikit-learn</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Classification/">Classification</a></span></div><div class="content">Introduction
In the realm of machine learning, evaluating the performance of a classification model is crucial. scikit-learn, a powerful tool for machine learning in Python, provides several utilities for model evaluation. One of the most useful functions is classification_report, which gives a comprehensive overview of the key metrics for a classification model. In this post, we’ll explore how to use this function to assess model performance effectively.
What is classification_report?
The class ...</div></div></div><div class="recent-post-item"><div class="post_cover left_radius"><a href="/2024/08/20/2024q3/189-3/" title="A Quick Guide to Linear Algebra With NumPy"> <img class="post_bg" src="https://image.discover304.top/1724179454658.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="A Quick Guide to Linear Algebra With NumPy"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/08/20/2024q3/189-3/" title="A Quick Guide to Linear Algebra With NumPy">A Quick Guide to Linear Algebra With NumPy</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-08-20T14:11:14.000Z" title="Created 2024-08-20 22:11:14">2024-08-20</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/Python/">Python</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Data-Science/">Data Science</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/NumPy/">NumPy</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Linear-Algebra/">Linear Algebra</a></span></div><div class="content">Introduction
NumPy is a fundamental package for numerical computing in Python. It provides efficient operations for handling arrays and matrices, which are crucial for data analysis and scientific computing. In this guide, we’ll explore some basic linear algebra operations available in NumPy, showcasing how to perform these operations both with operator overloads and built-in functions.
Elementwise Operations
Elementwise operations are basic operations that are applied element by element on arra ...</div></div></div><div class="recent-post-item"><div class="post_cover right_radius"><a href="/2024/08/20/2024q3/189-2/" title="Understanding Array Slicing in NumPy: A Practical Guide"> <img class="post_bg" src="https://image.discover304.top/1724179332206.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="Understanding Array Slicing in NumPy: A Practical Guide"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/08/20/2024q3/189-2/" title="Understanding Array Slicing in NumPy: A Practical Guide">Understanding Array Slicing in NumPy: A Practical Guide</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-08-20T14:11:08.000Z" title="Created 2024-08-20 22:11:08">2024-08-20</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/Python/">Python</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/NumPy/">NumPy</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Array-Slicing/">Array Slicing</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Data-Manipulation/">Data Manipulation</a></span></div><div class="content">Introduction
In the world of data manipulation with Python, NumPy stands as one of the most used libraries due to its efficiency and powerful array operations. One common operation is array slicing, which can be a bit tricky to understand, especially for those new to Python. In this blog post, we’ll delve into how slicing works in NumPy and why it’s important to understand its behavior to avoid potential bugs in your code.
Creating a Basic Array
To begin, let’s create a simple rank 2 NumPy array ...</div></div></div><div class="recent-post-item"><div class="post_cover left_radius"><a href="/2024/08/20/2024q3/189-1-conda-yml/" title="How to Install and Manage Conda Environments Using .Yml Files"> <img class="post_bg" src="https://image.discover304.top/1724177116815.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="How to Install and Manage Conda Environments Using .Yml Files"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/08/20/2024q3/189-1-conda-yml/" title="How to Install and Manage Conda Environments Using .Yml Files">How to Install and Manage Conda Environments Using .Yml Files</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-08-20T14:02:05.000Z" title="Created 2024-08-20 22:02:05">2024-08-20</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/Python/">Python</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Conda/">Conda</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Environment-Management/">Environment Management</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Tutorial/">Tutorial</a></span></div><div class="content">To install a Conda environment from a .yml file, follow these steps:
1. Prepare the .yml FileEnsure you have a .yml file that defines the Conda environment. This file typically includes dependencies and configuration settings for the environment. It might look something like this:
12345678910111213name: myenvchannels: - defaultsdependencies: - python=3.8 - numpy - pandas - scipy - pip - pip: - torch - torchvision - torchaudio
2. Install Conda (if not already installed)If you hav ...</div></div></div><div class="recent-post-item"><div class="post_cover right_radius"><a href="/2024/08/20/2024q3/189-0-statsmodels/" title="Unlocking the Power of Statistical Analysis With Statsmodels in Python"> <img class="post_bg" src="https://image.discover304.top/1724175062360.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="Unlocking the Power of Statistical Analysis With Statsmodels in Python"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/08/20/2024q3/189-0-statsmodels/" title="Unlocking the Power of Statistical Analysis With Statsmodels in Python">Unlocking the Power of Statistical Analysis With Statsmodels in Python</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-08-20T13:10:32.000Z" title="Created 2024-08-20 21:10:32">2024-08-20</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/Python/">Python</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Data-Science/">Data Science</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/statsmodels/">statsmodels</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Statistical-Analysis/">Statistical Analysis</a></span></div><div class="content">IntroductionIn the ever-evolving world of data science, statsmodels stands out as a specialized Python library tailored for statistical analysis and econometric applications. Unlike broader machine learning libraries, statsmodels offers tools designed for in-depth statistical inference, providing insights into the underlying mechanics of data.
Why Use statsmodels?statsmodels is essential for anyone needing to perform rigorous statistical testing and modeling. It supports a range of statistical m ...</div></div></div><div class="recent-post-item"><div class="post_cover left_radius"><a href="/2024/08/19/2024q3/188-0-mbzuai-instruction/" title="Maximizing Efficiency With MBZUAI HPC: A Guide to SSH, Slurm, and Tmux"> <img class="post_bg" src="https://image.discover304.top/1724175679866.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="Maximizing Efficiency With MBZUAI HPC: A Guide to SSH, Slurm, and Tmux"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/08/19/2024q3/188-0-mbzuai-instruction/" title="Maximizing Efficiency With MBZUAI HPC: A Guide to SSH, Slurm, and Tmux">Maximizing Efficiency With MBZUAI HPC: A Guide to SSH, Slurm, and Tmux</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-08-19T14:21:21.000Z" title="Created 2024-08-19 22:21:21">2024-08-19</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/HPC/">HPC</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/SSH/">SSH</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Slurm/">Slurm</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Tmux/">Tmux</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Resource-Management/">Resource Management</a></span></div><div class="content">English Version中文版本Working on high-performance computing (HPC) systems requires a solid understanding of the tools and processes that enable efficient resource management. This guide covers essential steps to access the MBZUAI HPC environment using SSH, manage jobs with Slurm, and maintain persistent sessions with Tmux. Whether you’re a beginner or looking to refine your skills, this blog post will help you get the most out of your HPC experience.
1. Quick Access LinksBefore diving into the tech ...</div></div></div><div class="recent-post-item"><div class="post_cover right_radius"><a href="/2024/07/02/2024q3/187-music-x-lab-other-research/" title="【课题】Decifer音乐项目与LLM Repo Eval项目"> <img class="post_bg" src="https://image.discover304.top/1724175887405.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="【课题】Decifer音乐项目与LLM Repo Eval项目"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/07/02/2024q3/187-music-x-lab-other-research/" title="【课题】Decifer音乐项目与LLM Repo Eval项目">【课题】Decifer音乐项目与LLM Repo Eval项目</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-07-01T21:58:10.000Z" title="Created 2024-07-02 05:58:10">2024-07-02</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/AI/">AI</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Music-Generation/">Music Generation</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Cross-modal-Learning/">Cross-modal Learning</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Large-Language-Models/">Large Language Models</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/GitHub-Evaluation/">GitHub Evaluation</a></span></div><div class="content">
注：AI 整理，仅作参考
1. Decifer音乐生成项目1.1. 项目概述Decifer项目致力于开发一个利用音频语言模型（Y）指导MIDI语言模型（X）的跨模态音乐生成模型。
1.2. 技术细节
数据收集：收集大量的MIDI和相应的音频数据。
模型蒸馏：音频模型作为导师模型，将知识传递给MIDI模型。
跨模态学习：实现音频输出到MIDI输入的映射，促进两个模型的互动学习。
2. LLM Repo Eval项目：GitHub仓库评估2.1. 项目目标利用大型语言模型评估GitHub仓库的效率、资源开销、部署或开发难易程度。
2.2. 实施步骤
确定评估标准：包括代码质量、工程质量、使用体验、部署和配置等。
设计评估工具和方法：选择合适的代码分析和性能分析工具。
收集数据：运行和测试GitHub仓库，收集性能数据和用户反馈。
数据分析：分析收集到的数据，评估GitHub仓库的综合表现。
3. 总结这两个项目通过使用先进的AI技术解决特定领域问题，展示了AI在音乐生成和软件工程质量评估中的应用潜力。
🍀后记🍀博客的关键词集中在编程、算法、机器人、人工智能、数学等等，持续高 ...</div></div></div><div class="recent-post-item"><div class="post_cover left_radius"><a href="/2024/06/29/2024q2/186-vs/" title="The Role of Vector Stores in Similarity Search and Indexing"> <img class="post_bg" src="https://image.discover304.top/1724176169296.png?imageView2/2/h/300" onerror="this.onerror=null;this.src='/img/404.png'" alt="The Role of Vector Stores in Similarity Search and Indexing"></a></div><div class="recent-post-info"><a class="article-title" href="/2024/06/29/2024q2/186-vs/" title="The Role of Vector Stores in Similarity Search and Indexing">The Role of Vector Stores in Similarity Search and Indexing</a><div class="article-meta-wrap"><span class="post-meta-date"><i class="far fa-calendar-alt"></i><span class="article-meta-label">Created</span><time datetime="2024-06-29T14:39:55.000Z" title="Created 2024-06-29 22:39:55">2024-06-29</time></span><span class="article-meta tags"><span class="article-meta__separator">|</span><i class="fas fa-tag article-meta__icon"></i><a class="article-meta__tags" href="/tags/Vector-Store/">Vector Store</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Similarity-Search/">Similarity Search</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Indexing/">Indexing</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/Machine-Learning/">Machine Learning</a><span class="article-meta__link">•</span><a class="article-meta__tags" href="/tags/AI/">AI</a></span></div><div class="content">what is the purpose to have vector store? for similarity check and indexing the relevant context material?A vector store is primarily used for efficiently managing and querying vector data, which is essential for tasks such as similarity checks and indexing relevant context material. Here are the key purposes of having a vector store:
Similarity Search:
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