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Dec 3, 2024 | 
freecodecamp.org | Ankur Tyagi
Okay, I know you may be skeptical: other guides have promised painless code reviews only to reveal that their solution requires some hyper-specific tech stack or a paid developer tool. I won’t do that to you. This guide provides a straightforward and flexible template for code reviews that you can apply to your engineering team. The only requirement is that your app code is open source.
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Sep 13, 2024 | 
hackernoon.com | Ankur Tyagi
As we're into the last quarter of 2024, we have seen an explosion of new dev tools, companies, and programming models transforming how developers approach data storage and retrieval. Many of these databases offer high availability, geographic scaling, and seamless integrations with other cloud services, but they come with challenges. Costs can also scale quickly, especially with large datasets, and control over data can be limited, which might be a concern for developers, founders, and companies.
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Aug 1, 2024 | 
freecodecamp.org | s Name |Ankur Tyagi
In this tutorial, you will learn how to build an invoicing web app that allows users to add their bank information, manage a list of customers, and create and send invoices to customers. You'll also learn how to print and send React components as invoices and email templates directly from the application to the customer's email.
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May 20, 2024 | 
dev.to | Ankur Tyagi
Over the past year, generative AI tools have exploded on the internet, captivating us with their ability to craft human-quality text, translate languages with remarkable accuracy, and even generate breathtakingly realistic images. This rapid advancement in artificial intelligence is fueled by a crucial element that often goes unnoticed: data.
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May 13, 2024 | 
dev.to | Ankur Tyagi
IntroductionEnterprises are turning to RAG (Retrieval-Augmented Generation) because it fundamentally changes how AI can be used for better decision-making. RAG combines the power of information retrieval with AI generation, allowing businesses to:Leverage vast amounts of data: RAG unlocks the value of internal and external data sources, providing a more comprehensive picture for informed choices.
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May 6, 2024 | 
dev.to | Ankur Tyagi
IntroductionEnterprises are constantly seeking ways to improve efficiency, gain a competitive edge, and deliver exceptional customer service. Retrieval-Augmented Generation (RAG) technology is emerging as a powerful tool that addresses these needs by combining information retrieval with AI generation. This innovative approach unlocks a range of benefits that can significantly transform how enterprises operate. One of the most impactful applications of RAG lies in enhanced customer support.
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Apr 29, 2024 | 
dev.to | Ankur Tyagi
IntroductionData has become the new gold mine. Businesses of all sizes are scrambling to extract valuable insights and unlock the potential hidden within their ever-growing data warehouses. Generative AI tools powered by Large Language Models (LLMs) are emerging as powerful tools for such tasks. Based on large pre-trained data and the context given in the input, these AI marvels can generate responses in the form of text, image, code, and even videos that you can leverage for different needs.
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Apr 17, 2024 | 
dev.to | Ankur Tyagi
IntroductionInteracting with your data helps you and your team to gain relevant insights and make informed decisions for your business. Retrieval-augmented generation (RAG) chat applications allow you to chat with your data. Retrieval-augmented generation enhances the accuracy of large language models by allowing them to consult an external data source before generating an output. The output of these LLMs is based on facts gathered from the embedded data sources.
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Apr 15, 2024 | 
dev.to | Ankur Tyagi
Last week I have discovered some awesome libraries!Check them, use them, help them with a star âï¸ CoolifyIntroducing Coolify, an open-source and self-hostable alternative to Heroku, Netlify, and VercelDeveloped by Andras Bacsai, this innovative platform empowers users to deploy and manage their web applications with ease, all while maintaining full control over their infrastructure.
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Apr 11, 2024 | 
dev.to | Ankur Tyagi
IntroductionGenerative AI is a growing field of artificial intelligence where large language models (LLM) are pre-trained on large amounts of data to generate text, images, video, or voice data. Sometimes, models may not need to rely solely on pre-training data to generate accurate results. It can leverage external data sources to generate accurate and factually consistent responses. This process is known as Retrieval-Augmented Generation (RAG).
