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AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Journey to AI blog

AI uses predictions and automation to optimize and solve complex tasks that humans have historically done, such as facial and speech recognition, decision making and translation. We define weak AI by its ability to complete a specific task, like winning a chess game or identifying a particular individual in a series of photos.

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A Guide to Mastering Large Language Models

Unite.AI

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. Cohere provides a studio for automating LLM workflows with a GUI, REST API and Python SDK.

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Graph Viz with Gephi and ChatGPT, Google’s Bard AI, and Reverse Engineering Image Prompts

ODSC - Open Data Science

The Role of DevSecOps in Ensuring Data Privacy and Security in Data Science Projects DevSecOps ensures that data privacy and security are maintained throughout the application’s lifecycle by promoting collaboration and automation. Check out some more highlights in the full schedule here!

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Evaluation Derangement Syndrome (EDS) in the GPU-poor’s GenAI. Part 1: the case for Evaluation-Driven Development

deepsense.ai

In short, EDS is the problem of the widespread lack of a rational approach to and methodology for the objective, automated and quantitative evaluation of performance in terms of generative model finetuning and prompt engineering for specific downstream GenAI tasks related to practical business applications. There is a ‘but’, however.