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How To Use LLMs in a Software Developer’s Work [Case Study Included]

Dlabs.ai

By reviewing how we created an internal project called SugarAssist, a diabetic assistant, you’ll learn where and how we use AI in our daily work. In our case, during the development of our GPT-based diabetes assistants. One goal was to get information from people with type I diabetes, so we decided to create a survey.

LLM 52
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Top Real-Life Examples of GPT Integration: Learn How to Enhance Your Products with AI

Dlabs.ai

Diverse Learning Enhancements: Enhances the learning experience with features ranging from concept summarization and in-depth topic exploration to coding assistance. SugarAssist: GPT-Powered Diabetes Assistant Now, let’s shift our focus to a healthcare initiative spearheaded by our team aimed at tackling significant challenges.

ChatGPT 110
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How to Make the Calculation of Chi-Square Tests Easy?

Mlearning.ai

This article will cover the following topics: What is a Chi-Square Test? For example, Diabetes is a categorical variable. Now, we would like to know if the number of patients with diabetes is dependent on the variable Death Event. We would expect that 118.13379 survived patients with Diabetes. The p-value is 0.9732.

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Exploring Linear Regression for Spatial Analysis.

Towards AI

Created by the author with DALL E-3 Machine learning has become very popular in the world of technology, this is evidenced as witnessed in social media with topics like deep learning, artificial intelligence and machine learning dominating the conversation when it comes to technology-related topics.

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AI News Weekly - Issue #357: Major Powers Unite on AI Risks - Nov 2nd 2023

AI Weekly

Discover what the most trusted industry experts are reading to expand your knowledge by choosing from 10 AI topics : AI General News | AI Ethics | AI Applied Use Cases | AI Robotics | AI Research | AI Marketing | AI Healthcare | AI Cybersecurity | AI For Good | Business of AI | Interested in sponsorship opportunities?

Robotics 166
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How Artificial Intelligence Is Transforming Diabetes Care

Dlabs.ai

Artificial intelligence and diabetes: two topics that are very close to my heart. That’s why, in association with World Diabetes Day, I’ve decided to show you the many fascinating ways AI is helping the medical world gain ground in the fight against the disease. But that doesn’t make them impossible.

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A Practical Guide for identifying important features using Python

Mlearning.ai

Features such as topic, gender, age group, etc., We will be using the diabetes dataset from sklearn to demonstrate the different algorithms listed below. Here is an example implementation of ridge regression on the diabetes prediction task from sklearn with different numerical features. are good examples of dense features.

Python 52