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	<title>Frederick Giasson</title>
	<link>https://fgiasson.com/blog</link>
	<description>Machine Learning, Engineering &#38; Data</description>
	<dc:date>2024-05-17T13:51:54Z	</dc:date>
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<item rdf:about="https://fgiasson.com/blog/index.php/2024/05/17/data-reliability-engineering/">
	<title>Data Reliability Engineering</title>
	<link>https://fgiasson.com/blog/index.php/2024/05/17/data-reliability-engineering/</link>

	<dc:creator><![CDATA[Frederick Giasson]]></dc:creator>
	<dc:date>2024-05-17T13:51:54Z</dc:date>
			<dc:subject><![CDATA[Artificial Intelligence]]></dc:subject>
		<dc:subject><![CDATA[MLOps]]></dc:subject>
		<dc:subject><![CDATA[#data-reliability-engineering]]></dc:subject>
		<dc:subject><![CDATA[#dre]]></dc:subject>

			<description><![CDATA[I am happy to be able to share about one of the things that I have been up to since I started working at Dayforce. What Is that thing? Data Reliability Engineering I had the opportunity to put in place a new functional area called Data Reliability Engineering. This may look good, but you may [&#8230;]]]></description>
	
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<item rdf:about="https://fgiasson.com/blog/index.php/2023/12/06/searching-any-web-link-within-a-org-library-using-org-ql/">
	<title>Searching any Web link within a Org library using org-ql</title>
	<link>https://fgiasson.com/blog/index.php/2023/12/06/searching-any-web-link-within-a-org-library-using-org-ql/</link>

	<dc:creator><![CDATA[Frederick Giasson]]></dc:creator>
	<dc:date>2023-12-07T02:15:45Z</dc:date>
			<dc:subject><![CDATA[Emacs]]></dc:subject>
		<dc:subject><![CDATA[#emacs #orgmode]]></dc:subject>

			<description><![CDATA[Jon Snader of Irreal recently made a few blog post about using Emacs as &#8220;bookmark launcher&#8221;. You can read them here and here. Those methods were working well, but I was missing something. I am working with Org a lot these days. Not for literate programming as I normally do, but mainly using Org-Roam to [&#8230;]]]></description>
	
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<item rdf:about="https://fgiasson.com/blog/index.php/2023/11/02/literate-programming-for-devops-mlops-and-infrastructure-as-code-in-general/">
	<title>Literate Programming: for DevOps, MLOps and Infrastructure as Code in General</title>
	<link>https://fgiasson.com/blog/index.php/2023/11/02/literate-programming-for-devops-mlops-and-infrastructure-as-code-in-general/</link>

	<dc:creator><![CDATA[Frederick Giasson]]></dc:creator>
	<dc:date>2023-11-02T14:54:18Z</dc:date>
			<dc:subject><![CDATA[Literate Programming]]></dc:subject>
		<dc:subject><![CDATA[MLOps]]></dc:subject>

			<description><![CDATA[In this blog post, I am arguing that literate programming concepts are becoming more and more important to the software industry considering the recent (last 15 years) emergence of Infrastructure as Code (IaC) and new important specialized developer roles such as DevOps and now MLOps.]]></description>
	
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<item rdf:about="https://fgiasson.com/blog/index.php/2023/10/31/orgweb-cli-org-mode-environment-for-web-like-development-without-emacs/">
	<title>OrgWeb: CLI Org-Mode Environment for WEB like development without Emacs</title>
	<link>https://fgiasson.com/blog/index.php/2023/10/31/orgweb-cli-org-mode-environment-for-web-like-development-without-emacs/</link>

	<dc:creator><![CDATA[Frederick Giasson]]></dc:creator>
	<dc:date>2023-10-31T13:20:07Z</dc:date>
			<dc:subject><![CDATA[Literate Programming]]></dc:subject>
		<dc:subject><![CDATA[Programming]]></dc:subject>
		<dc:subject><![CDATA[#literateprogramming]]></dc:subject>
		<dc:subject><![CDATA[#org-mode]]></dc:subject>
		<dc:subject><![CDATA[#vscode]]></dc:subject>

			<description><![CDATA[OrgWeb is a command line tool that enables any developers to leverage Org-mode to do literate programming using their preferred IDE environment.

In this blog post, we will explore how it works and the development workflow it enables.]]></description>
	
	</item>
<item rdf:about="https://fgiasson.com/blog/index.php/2023/10/04/impact-of-careful-naming-when-using-github-copilot/">
	<title>Impact of Careful Naming when Using GitHub Copilot</title>
	<link>https://fgiasson.com/blog/index.php/2023/10/04/impact-of-careful-naming-when-using-github-copilot/</link>

	<dc:creator><![CDATA[Frederick Giasson]]></dc:creator>
	<dc:date>2023-10-04T19:57:54Z</dc:date>
			<dc:subject><![CDATA[Artificial Intelligence]]></dc:subject>
		<dc:subject><![CDATA[Programming]]></dc:subject>
		<dc:subject><![CDATA[#copilot]]></dc:subject>
		<dc:subject><![CDATA[#llm]]></dc:subject>
		<dc:subject><![CDATA[#programming]]></dc:subject>

			<description><![CDATA[Today, I continue my investigation of how I can better leverage tools such as GitHub Copilot, and their impact on the work of software developers. I recently investigated how such tools can benefit from Literate Programming methodology. I this new post, I am investigating the importance of carefully naming of functions, parameters and variables, and [&#8230;]]]></description>
	
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<item rdf:about="https://fgiasson.com/blog/index.php/2023/09/22/literate-programming-at-the-dawn-of-llms/">
	<title>Literate Programming at the dawn of LLMs</title>
	<link>https://fgiasson.com/blog/index.php/2023/09/22/literate-programming-at-the-dawn-of-llms/</link>

	<dc:creator><![CDATA[Frederick Giasson]]></dc:creator>
	<dc:date>2023-09-22T17:55:30Z</dc:date>
			<dc:subject><![CDATA[Artificial Intelligence]]></dc:subject>
		<dc:subject><![CDATA[Literate Programming]]></dc:subject>
		<dc:subject><![CDATA[#copilot]]></dc:subject>
		<dc:subject><![CDATA[#literateprogramming]]></dc:subject>
		<dc:subject><![CDATA[#nbdev]]></dc:subject>

			<description><![CDATA[Since the beginning of the year, the industry&#8217;s main focus seems to revolve around &#8220;prompting.&#8221; We&#8217;ve seen the emergence of new job titles, new job descriptions, and even the introduction of &#8220;prompting wizards,&#8221; all of which are essentially part of branding and marketing strategies. Prompting involves articulating a problem and providing clear instructions in the [&#8230;]]]></description>
	
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<item rdf:about="https://fgiasson.com/blog/index.php/2023/09/15/profiling-python-code-in-jupyter-while-doing-literate-programming-with-nbdev/">
	<title>Profiling Python Code in Jupyter while doing Literate Programming with nbdev</title>
	<link>https://fgiasson.com/blog/index.php/2023/09/15/profiling-python-code-in-jupyter-while-doing-literate-programming-with-nbdev/</link>

	<dc:creator><![CDATA[Frederick Giasson]]></dc:creator>
	<dc:date>2023-09-15T18:51:09Z</dc:date>
			<dc:subject><![CDATA[Literate Programming]]></dc:subject>
		<dc:subject><![CDATA[#jupyter]]></dc:subject>
		<dc:subject><![CDATA[#literateprogramming]]></dc:subject>
		<dc:subject><![CDATA[#nbdev]]></dc:subject>
		<dc:subject><![CDATA[#python]]></dc:subject>

			<description><![CDATA[As you may know if you followed this blog in the last few weeks, I started to experiment doing literate programming in Python using nbdev. This means that most of the Python code I do today is first written in a Jupyter Notebook (in VSCode), and eventually get their ways into a .py module file. [&#8230;]]]></description>
	
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	<title>ReadNext 0.0.4: Local Embedding Model</title>
	<link>https://fgiasson.com/blog/index.php/2023/09/12/readnext-0-0-4-local-embedding-model/</link>

	<dc:creator><![CDATA[Frederick Giasson]]></dc:creator>
	<dc:date>2023-09-12T19:05:41Z</dc:date>
			<dc:subject><![CDATA[Artificial Intelligence]]></dc:subject>
		<dc:subject><![CDATA[Literate Programming]]></dc:subject>
		<dc:subject><![CDATA[#huggingface]]></dc:subject>
		<dc:subject><![CDATA[#literateprogramming]]></dc:subject>
		<dc:subject><![CDATA[#readnext]]></dc:subject>

			<description><![CDATA[I just release ReadNext version 0.0.4. The primary goal of this new version is to remove the dependency on the Cohere Embedding web service endpoint by using a local embedding model by default. To enable that, ReadNext got integrated with Hugging Face and is currently uses the BAAI/bge-base-en model. Local vs. Remote This new change [&#8230;]]]></description>
	
	</item>
<item rdf:about="https://fgiasson.com/blog/index.php/2023/09/07/how-to-deploy-hugging-face-models-in-azure-using-terraform-and-docker/">
	<title>How to Deploy Hugging Face Models in Azure using Terraform and Docker</title>
	<link>https://fgiasson.com/blog/index.php/2023/09/07/how-to-deploy-hugging-face-models-in-azure-using-terraform-and-docker/</link>

	<dc:creator><![CDATA[Frederick Giasson]]></dc:creator>
	<dc:date>2023-09-07T19:12:41Z</dc:date>
			<dc:subject><![CDATA[MLOps]]></dc:subject>
		<dc:subject><![CDATA[#devops]]></dc:subject>
		<dc:subject><![CDATA[#docker]]></dc:subject>
		<dc:subject><![CDATA[#huggingface]]></dc:subject>
		<dc:subject><![CDATA[#machinelearning]]></dc:subject>
		<dc:subject><![CDATA[#mlopds]]></dc:subject>
		<dc:subject><![CDATA[#terraform]]></dc:subject>

			<description><![CDATA[In a previous blog post, I explained how we can easily deploy Hugging Face models in Docker containers. In this new post, I will explain how we can easily deploy that container in Azure using Terraform. At the end of this article, we will have end-to-end process that creates a translation service, containerize, deploy in [&#8230;]]]></description>
	
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<item rdf:about="https://fgiasson.com/blog/index.php/2023/08/30/literate-programming-in-python-using-nbdev/">
	<title>Literate Programming in Python using NBDev</title>
	<link>https://fgiasson.com/blog/index.php/2023/08/30/literate-programming-in-python-using-nbdev/</link>

	<dc:creator><![CDATA[Frederick Giasson]]></dc:creator>
	<dc:date>2023-08-30T17:20:34Z</dc:date>
			<dc:subject><![CDATA[Literate Programming]]></dc:subject>
		<dc:subject><![CDATA[MLOps]]></dc:subject>
		<dc:subject><![CDATA[#literateprogramming]]></dc:subject>
		<dc:subject><![CDATA[#mlops]]></dc:subject>
		<dc:subject><![CDATA[#nbdev]]></dc:subject>
		<dc:subject><![CDATA[#python]]></dc:subject>

			<description><![CDATA[Donald Knuth considered that, of all his work on typography, the idea of literate programming had the greatest impact on him. This is a strong and profound statement that seems to be underestimated by history. Literate programming has grown on me in such a way that I now have a hard time developing in a [&#8230;]]]></description>
	
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