AI/ML Resources

Jason Arbon: 'In a Million Years, Super-Powerful Computers Will Honor the Testers of Our Time'

Discussing the use of AI in testing, the somewhat unfair manual QA vs. automation QA struggle, the risks faced by testers with new technologies developing exponentially, and more with Jason Arbon.

July 9, 2023

by Sasha Baglai

· 2,053 Views · 1 Like

AI Code Intentions

Any modern IDE includes Code Intentions that allow you to perform some predefined actions on your code based on a context or do some manipulation with the code.

July 7, 2023

by Gregory Ledenev

· 4,491 Views · 3 Likes

How I Learned To Love Autonomous Generative AI Versus Auto-Complete

Generative AI can become a developer's best friend for unit tests, but reinforcement learning tools can deliver immediate success – without reviewing the code.

July 7, 2023

by Mathew Lodge

· 3,064 Views · 2 Likes

Architecting and Building LLM-Powered Generative AI Applications

This research article explores the process of architecting and building an LLM (language model-based learning) powered application.

July 6, 2023

by Amlan Patnaik

· 3,714 Views · 2 Likes

How To Call Cohere and Hugging Face AI From Within an Oracle Database Using JavaScript

Optimize your AI architecture entirely free using JavaScript and open source and access the same data using SQL, JSON, or REST.

July 5, 2023

by Paul Parkinson

· 6,486 Views · 2 Likes

How I Converted Regular RDBMS Into Vector Database To Store Embeddings

In this article, I'll walk you through how to convert a regular RDBMS into a fully featured Vector database to store Embeddings for developing GenerativeAI applications.

July 5, 2023

by Suvoraj Biswas

· 3,253 Views · 2 Likes

How To Change the Learning Rate of TensorFlow

To change the learning rate in TensorFlow, you can utilize various techniques depending on the optimization algorithm you are using.

July 4, 2023

by Daniel Onugha

· 2,465 Views · 2 Likes

Coding In the Age of AI: ChatGPT's Role In Next-Gen Programming

ChatGPT is disrupting the digital landscape, and programming is no exception. See how It helps programmers and the potential it holds to shape the future of coding!

July 3, 2023

by Madiha jamal

· 2,904 Views · 1 Like

Generative AI Models: Boosting Merchandising Analytics User Experience

Using generative AI to improve the analytical experience, enabling business users to ask anything about available data in our data platform.

June 29, 2023

by Miguel Garcia

· 4,544 Views · 6 Likes

The Prospects of AI in Data Conversion Tools

Artificial Intelligence is revolutionizing data conversion tools, enhancing efficiency, accuracy, and real-time processing.

June 29, 2023

by Ovais Naseem

· 4,251 Views · 1 Like

Do We Really Need More Powerful Language Models?

Large language models are becoming more and more popular. However, their development also makes us face certain challenges. GPT models aren't the only approach.

June 29, 2023

by Yulia Gavrilova

· 3,186 Views · 2 Likes

Generating Non-Colliding Random Numbers Using a Binary Tree With PID

In this article, find out how you can generate non-colliding pseudo-random numbers using a binary tree with PID (Process IDentifier) without any APIs.

June 29, 2023

by Amuda Adeolu

· 3,418 Views · 4 Likes

Own ChatGPT Bot in Telegram

Now popular are mirror websites that provide access to ChatGPT. Today we will write our own chatbot based on ChatGPT in the Telegram messenger.

June 29, 2023

by Ilya Sinenko

· 3,246 Views · 1 Like

Got Data? How SMOTE and GANs Create Synthetic Data

Synthetic data can solve a huge challenge for developers and data scientists – having sufficient, clean data to train their AI/ML models.

June 29, 2023

by Tom Smith CORE

· 2,705 Views · 1 Like

Managing AI-Powered Java App With API Management

Explore how to integrate OpenAI's ChatGPT APIs with a Spring Boot application and manage the APIs using Apache APISIX, an open-source API gateway.

June 28, 2023

by Bobur Umurzokov

· 4,134 Views · 1 Like

You Are What You Build: Making Your Code More Human

Christina Enchevta of GitHub joins us to talk about how AI applications mirror our values, as well as how to provide constructive feedback and more.

June 28, 2023

by Conor Bronsdon

· 2,500 Views · 1 Like

What Is Model Ops?

Model Ops is a collection of procedures and equipment for managing and running models that are in use. ML teams deploy each model in production with the DevOps team.

June 27, 2023

by Mitesh Patel

· 2,901 Views · 2 Likes

Automation, Ansible, AI

Learn about how Ansible is bringing AI tools to your Integrated Development Environment to make your automation coding experience simpler, smoother, and more efficient.

June 27, 2023

by Vidyasagar (Sarath Chandra) Machupalli CORE

· 6,059 Views · 6 Likes

How AI Is Improving Cybersecurity

AI is detecting malware, identifying and responding to cyber threats, protecting sensitive data, and improving the security of critical infrastructure.

June 27, 2023

by Tom Smith CORE

· 2,730 Views · 2 Likes

Ten Ways AI Is Making Developers’ Lives Simpler and Easier

AI can automate repetitive tasks, such as testing and bug fixing, freeing up developers to focus on more creative and strategic work.

June 26, 2023

by Tom Smith CORE

· 2,295 Views · 2 Likes

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