Cognition in AI: From Possibility to Reality

This crackpot article was created by Crow on 𝕏 in partnership with a custom Microsoft CoPilot. This paper explores the development and realization of cognitive functions in artificial intelligence, demonstrating that cognition in AI is not only possible but already exists. By drawing parallels between biological systems and AI architectures, we present a comprehensive framework …

Decision Trees and Ordinal Encoding: A Practical Guide

Categorical variables are pivotal as they often carry essential information that influences the outcome of predictive models. However, their non-numeric nature presents unique challenges in model processing, necessitating specific strategies for encoding. This post will begin by discussing the different types of categorical data often encountered in datasets. We will explore ordinal encoding in-depth and …

From Data to Insights: A Beginner’s Journey in Exploratory Data Analysis

Every industry uses data to make smarter decisions. But raw data can be messy and hard to understand. EDA allows you to explore and understand your data better. In this article, we’ll walk you through the basics of EDA with simple steps and examples to make it easy to follow. What is Exploratory Data Analysis? …

5 Real-World Machine Learning Projects You Can Build This Weekend

Building machine learning projects using real-world datasets is an effective way to apply what you’ve learned. Working with real-world datasets will help you learn a great deal about cleaning and analyzing messy data, handling class imbalance, and much more. But to build truly helpful machine learning models, it’s also important to go beyond training and …

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Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination

Sample language model responses to different varieties of English and native speaker reactions. ChatGPT does amazingly well at communicating with people in English. But whose English? Only 15% of ChatGPT users are from the US, where Standard American English is the default. But the model is also commonly used in countries and communities where people …

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Don’t Miss this Year’s Chatbot Conference

Since 2017, the Chatbot Conference has become a key gathering for AI professionals, innovators, and enthusiasts. Each year, the series explores the latest trends in AI and conversational technology. From multi-agent systems to automation frameworks, the conference covers the full spectrum of advancements in chatbots and conversational AI. Keynotes from industry leaders, hands-on workshops, and …

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Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

Amazon Bedrock Agents offers developers the ability to build and configure autonomous agents in their applications. These agents help users complete actions based on organizational data and user input, orchestrating interactions between foundation models (FMs), data sources, software applications, and user conversations. Amazon Bedrock agents use the power of large language models (LLMs) to perform …

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GenOps: the evolution of MLOps for gen AI

As organizations move to deploy Generative AI solutions at scale, they often face operational challenges. GenOps, or MLOps for Gen AI, addresses these challenges. GenOps combines DevOps principles with ML workflows to deploy, monitor, and maintain Gen AI models in production. It ensures Gen AI systems are scalable, reliable, and continuously improving. Why is MLOps …

Medical Centers Tap AI, Federated Learning for Better Cancer Detection

A committee of experts from top U.S. medical centers and research institutes is harnessing NVIDIA-powered federated learning to evaluate the impact of federated learning and AI-assisted annotation to train AI models for tumor segmentation. Federated learning is a technique for developing more accurate, generalizable AI models trained on data across diverse data sources without mitigating …