Chatbot Progression: From ELIZA to ChatGPT
In this article, we will explore this evolution and highlight the key advancements that have propelled chatbot technology forward.
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Thinking Clearly: A Data Scientist’s Guide to Understanding Cognitive Biases [eBook]
In Thinking Clearly: A Data Scientist’s Guide to Understanding Cognitive Biases, each chapter provides an in-depth exploration of one of a wide ranging number of cognitive biases, including its definition, examples, and the consequences it can have on decision-making and problem-solving.
The Importance of Data Storage Solution Selection in Data Engineering
This article aims to shed light on the significance of data storage solution selection in data engineering and delves into the differences between relational databases, non-relational databases, and key-value stores.
The Role of MLOps in Large Language Models
With LLMs, MLOps practices take on a crucial role in managing their complexity and ensuring their accuracy and reliability.
Docker vs Kubernetes: An Overview
While both technologies are used for managing containers, they differ in their functionalities, applications, and use cases.
The Psychology of Prompt Engineering [eBook]
We are excited to introduce our new ebook, The Psychology of Prompt Engineering, which brings the fascinating world of psychology into the realm of prompt engineering, helping you create more effective, engaging, and user-centered AI models.
10 Practical Python Programming Tricks: Boost Your Efficiency and Code Quality [eBook]
Embrace these tips to enhance your Python programming skills and stand out as a proficient developer who can create high-quality, performant applications with ease.
(The Sometimes Thin Line Between) Data Engineering and MLOps
Although they serve different purposes and have distinct focuses, there are areas where the line between them becomes quite thin, making it essential for practitioners to understand their similarities and overlaps.