Machine Learning

Effective Workarounds for Common Gen AI Limitations

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Effective Workarounds for Common Gen AI Limitations Introduction Generative AI has transformed various industries with its ability to generate human-like text, create content, and perform complex tasks. However, it comes with its own set of limitations. In this blog post, we’ll explore these limitations and discuss effective workarounds to enhance the performance and reliability of […]

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An Intuitive Framework for Gen AI Use Cases

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This is an intuitive framework for Gen AI use cases. Generative AI (Gen AI) has a wide range of capabilities that can be applied to various artefacts, making it a versatile tool for numerous applications. Here are some of the key capabilities of Gen AI: Gen AI can handle a variety of artefacts, including text

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Why is Gen AI so hot? Exploring impacts sought by organizations

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Gen AI is obviously very popular. Must be due to the benefits possible from usage. Based on reports, these are the top impacts sought. Let’s explore each of these impacts areas very briefly. These show why Gen AI is a big deal everywhere. By enabling such a wide variety of impacts, it is quickly becoming

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Gen AI too was not built in a day

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Generative AI is not the result of a single breakthrough but rather a journey enabled by a series of significant advancements. From the early development of deep learning and transfer learning to the transformative impact of the transformer architecture and the evolution of large language models like GPT, each milestone has played a crucial role

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Understanding Generative AI: Limitations (Part 2)

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Scalability Issues: Scaling generative AI solutions can be challenging due to the need for large datasets and extensive computational resources. For example, deploying AI at scale in real-time applications can be technically and financially demanding. LLM-Specific Limitations: Large Language Models (LLMs) like GPT-3 can produce plausible-sounding but factually incorrect or nonsensical answers, and they may

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What is Generative AI?

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Generative AI refers to a class of artificial intelligence models designed to generate new content, such as text, images, audio, and even video, that is often indistinguishable from human-created content. Why is it “Generative”?The term “generative” comes from the model’s ability to generate new, original content. This is achieved through advanced algorithms and neural network

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Blog Series on Gen AI for Executives

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Welcome to the series! Following is a series that will address these goals: Executive LearningEnhancing knowledge and skills in Data Science and Gen AI. Appreciating Usage PatternsUnderstanding how these technologies are being applied across different industries. Recognizing RisksIdentifying potential challenges and risks associated with Data Science and Gen AI. Best Practices for AdoptionSharing strategies and

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Develop Web Apps and Deploy ML Models using Streamlit: A Comprehensive Guide

1 Comment / Data Science, For Data Scientist, Learning resources, Machine Learning, Python /

In this comprehensive guide, we will explore the world of web app development and ML model deployment using Streamlit. Whether you are a data scientist, machine learning engineer, or web developer, this blog post is tailored to provide you with a step-by-step approach to building interactive web applications that leverage the power of ML models.

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Experience “no code” ML and AI

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Hello! Hope you enjoy this playfully serious session on “no code” We will be using these posts in sequence [1] Experience “no code” ML https://playfullyserious.com/index.php/2023/06/30/experience-no-code-machine-learning/ [2] Experience “no code” ML deployment https://playfullyserious.com/index.php/2023/07/01/no-code-ml-deploying-a-model-and-testing/ [2] Experience “no code” AI https://playfullyserious.com/index.php/2023/07/02/experience-no-code-ai/

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