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Add RSP experience
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Diff for: ‎config.yaml

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@@ -2,6 +2,7 @@ baseURL: "https://www.sarthak247.github.io"
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languageCode: "en-us"
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title: "Sarthak Thakur"
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theme: hugo-profile
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ignoreLogs: ['warning-goldmark-raw-html']
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outputs:
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home:
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- "HTML"
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- "RSS"
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Paginate: 3
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# Paginate: 3
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pagination:
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disableAliases: false
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pagerSize: 10
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path: page
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enableRobotsTXT: true
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# disqusShortname: your-disqus-shortname
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# googleAnalytics: G-MEASUREMENT_ID
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enable: true
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# title: "Custom Name"
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items:
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- job: "Machine Learning Engineer"
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company: "Rising Sun Pictures"
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companyUrl: "https://www.rsp.com.au/"
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date: "November 2024 - Present"
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featuredLink:
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enable: false
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name: "Project Report"
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url: /files/reports/crest.pdf
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content: |
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- Researched and optimized diffusion models for high-quality image and video synthesis.
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- Accelerated ML pipelines, reducing generation time via model distillation, quantization, and caching.
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- Researched on enhancing text-to-image and video generation using latent space optimization and diffusion techniques.
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- Fine-tuned deep learning models for efficient deployment in VFX production.
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- Collaborated with cross-functional teams to integrate AI-driven tools into existing workflows.
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- job: "Research Assistant"
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company: "CREST"
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companyUrl: "https://crest-centre.net/"

Diff for: ‎public/404.html

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<link rel="stylesheet" href="/css/font.css" media="all">
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<meta property="og:url" content="http://localhost:1313/404.html">
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<meta property="og:site_name" content="Sarthak Thakur">
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<h5 class="card-title bg-transparent" title="Building Efficient ML APIs with FastAPI: A Comprehensive Guide - Part 2">Building Efficient ML …</h5>
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</a>
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<div class="card-text secondary-font">
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<p>In the previous blog, I mentioned how I was able to make simple endpoints with FastAPI and how I was even able to use it to deploy a pretrained ML model. Moving forward, I will be discussing about how to make our FastAPI application more robust and efficient with some commonly used practices I found …</p>
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<p><p>In the <a href="../fastapi">previous blog</a>, I mentioned how I was able to make simple endpoints with FastAPI and how I was even able to use it to deploy a pretrained ML model. Moving forward, I will be discussing about how to make our FastAPI application more robust and efficient with some commonly used practices I found …</p></p>
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<div class="mt-auto card-footer">
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<h5 class="card-title bg-transparent" title="Building Efficient ML APIs with FastAPI: A Comprehensive Guide - Part 1">Building Efficient ML …</h5>
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</a>
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<div class="card-text secondary-font">
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<p>Introduction to FastAPI Today, I delved into FastAPI, a cutting-edge web framework designed for building APIs with Python. It piqued my interest because of its reputation for speed, ease of use, and robust integration with Python&rsquo;s type system and also cause I have been looking for some time …</p>
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<p><h2 id="introduction-to-fastapi">Introduction to FastAPI</h2>
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<p>Today, I delved into FastAPI, a cutting-edge web framework designed for building APIs with Python. It piqued my interest because of its reputation for speed, ease of use, and robust integration with Python&rsquo;s type system and also cause I have been looking for some time …</p></p>
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<div class="mt-auto card-footer">
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<h5 class="card-title bg-transparent" title="Attention Is All You Need - From where it all started">Attention Is All You Need …</h5>
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</a>
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<div class="card-text secondary-font">
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<p>Introduction In the current landscape of Generative Artificial Intelligence (GenAI), new architectures and methodologies emerge with remarkable frequency. According to recent statistics from arXiv, the volume of papers tagged under LLM averages nine submissions daily. To comprehend these …</p>
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<p><h2 id="introduction">Introduction</h2>
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<p>In the current landscape of Generative Artificial Intelligence (GenAI), new architectures and methodologies emerge with remarkable frequency. According to recent statistics from <code>arXiv</code>, the volume of papers tagged under <code>LLM</code> averages nine submissions daily. To comprehend these …</p></p>
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<div class="mt-auto card-footer">
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</a>
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</div>
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&copy; 2024 All rights reserved
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&copy; 2025 All rights reserved
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<div class="text-secondary">
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Made with
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<span class="text-danger">

Diff for: ‎public/blogs/attention-is-all-you-need/index.html

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<meta property="og:url" content="http://localhost:1313/blogs/attention-is-all-you-need/">
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</li>
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<table>
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<thead>
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<tr>
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<th>Original Sentence Token</th>
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<th>Input ID (vocabulary position)</th>
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</thead>
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<tbody>
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<td>Your</td>
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<td>105</td>
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<td>cat</td>
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<td>6587</td>
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<td>is</td>
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<td>5475</td>
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<td>a</td>
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<td>3578</td>
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<td>lovely</td>
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<td>65</td>
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<td>cat</td>
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<td>6578</td>
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</tbody>
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<thead>
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<th>Original Sentence Token</th>
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<th>Input ID (vocabulary position)</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>Your</td>
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<td>105</td>
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</tr>
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<td>cat</td>
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<td>6587</td>
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</tr>
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<td>is</td>
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<td>5475</td>
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</tr>
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<td>a</td>
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<td>3578</td>
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</tr>
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<td>lovely</td>
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<td>65</td>
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</tr>
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<td>cat</td>
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<td>6578</td>
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</tbody>
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<ol start="4">
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<li>These input IDs are then transformed into embeddings of a fixed size, typically 512 in dimension.
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<li>To enforce this restriction of not allowing the model to see future words, we replace all future positions with \(-\infty\), as previously discussed.</li>
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<th>Lovely</th>
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</thead>
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<td>Your</td>
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<td>\(-\infty\)</td>
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<td>\(-\infty\)</td>
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<td>\(-\infty\)</td>
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<td>Is</td>
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<td>\(-\infty\)</td>
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<td>Lovely</td>
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<th>Your</th>
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<th>A</th>
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<th>Lovely</th>
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<th>Cat</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>Your</td>
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<td>\(-\infty\)</td>
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<td>\(-\infty\)</td>
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<td>\(-\infty\)</td>
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<td>\(-\infty\)</td>
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<td>\(-\infty\)</td>
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</tr>
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<td>Cat</td>
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<td></td>
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<td></td>
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<td>\(-\infty\)</td>
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<td>\(-\infty\)</td>
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<td>\(-\infty\)</td>
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<td>\(-\infty\)</td>
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</tr>
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<tr>
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<td>Is</td>
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<td></td>
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<td></td>
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<td></td>
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<td>\(-\infty\)</td>
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<td>\(-\infty\)</td>
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<td>\(-\infty\)</td>
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</tr>
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<td>A</td>
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<td></td>
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<td></td>
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<td></td>
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<td></td>
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<td>\(-\infty\)</td>
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<td>\(-\infty\)</td>
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</tr>
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<td>Lovely</td>
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<td></td>
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<td></td>
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<td></td>
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<td></td>
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<td></td>
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<td>\(-\infty\)</td>
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<td>Cat</td>
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<td></td>
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<p>When we apply softmax on this masked attention matrix, the relations between words denoted by \(-\infty\) effectively become zero. This masking mechanism ensures that the model does not attend to future words.</p>
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<ol start="3">
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<li><a href="attention_notes.pdf">Handwritten Notes</a></li>
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<blockquote>
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<p>Photo by <a href="https://arxiv.org/abs/1706.03762">Attention Is All You Need</a></p>
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<p>Photo by <a href="https://arxiv.org/abs/1706.03762">Attention Is All You Need</a></p></blockquote>
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<h5 class="card-title bg-transparent" title="Building Efficient ML APIs with FastAPI: A Comprehensive Guide - Part 2">Building Efficient ML …</h5>
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</a>
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<div class="card-text secondary-font">
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<p>In the previous blog, I mentioned how I was able to make simple endpoints with FastAPI and how I was even able to use it to deploy a pretrained ML model. Moving forward, I will be discussing about how to make our FastAPI application more robust and efficient with some commonly used practices I found …</p>
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<p><p>In the <a href="../fastapi">previous blog</a>, I mentioned how I was able to make simple endpoints with FastAPI and how I was even able to use it to deploy a pretrained ML model. Moving forward, I will be discussing about how to make our FastAPI application more robust and efficient with some commonly used practices I found …</p></p>
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<div class="mt-auto card-footer">
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<h5 class="card-title bg-transparent" title="Building Efficient ML APIs with FastAPI: A Comprehensive Guide - Part 1">Building Efficient ML …</h5>
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</a>
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<div class="card-text secondary-font">
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<p>Introduction to FastAPI Today, I delved into FastAPI, a cutting-edge web framework designed for building APIs with Python. It piqued my interest because of its reputation for speed, ease of use, and robust integration with Python&rsquo;s type system and also cause I have been looking for some time …</p>
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<p><h2 id="introduction-to-fastapi">Introduction to FastAPI</h2>
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<p>Today, I delved into FastAPI, a cutting-edge web framework designed for building APIs with Python. It piqued my interest because of its reputation for speed, ease of use, and robust integration with Python&rsquo;s type system and also cause I have been looking for some time …</p></p>
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<h5 class="card-title bg-transparent" title="Attention Is All You Need - From where it all started">Attention Is All You Need …</h5>
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</a>
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<p>Introduction In the current landscape of Generative Artificial Intelligence (GenAI), new architectures and methodologies emerge with remarkable frequency. According to recent statistics from arXiv, the volume of papers tagged under LLM averages nine submissions daily. To comprehend these …</p>
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<p><h2 id="introduction">Introduction</h2>
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<p>In the current landscape of Generative Artificial Intelligence (GenAI), new architectures and methodologies emerge with remarkable frequency. According to recent statistics from <code>arXiv</code>, the volume of papers tagged under <code>LLM</code> averages nine submissions daily. To comprehend these …</p></p>
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&copy; 2024 All rights reserved
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&copy; 2025 All rights reserved
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<div class="text-secondary">
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Made with
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<span class="text-danger">

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