Machine-learning Articles

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SEP Named a Best Places to Work Company for 14th Consecutive Year

SEP has once again been recognized as one of Indiana’s Best Places to Work for the 14th year consecutive year. The statewide survey and award program evaluates participating organizations and honors those with the highest levels of employee satisfaction and…

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customer service team member smiling on a call

How AI in Customer Service Helps Humans Do More Than Ever Before

AI is changing every facet of our lives, from the way we cook to the way we work. Customer service is the most important aspect of any business. It defines the relationship between business and customers. Like all aspects of work, AI is changing how we approach customer service. Full Automation? More Like Fool Automation […]

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How Autonomous AI Agents Leverage Text Completion Capabilities

This is the fourth post in a series that looks at how autonomous agents use generative AI models. Introduction The previous post showed how programmatic interactions with Open AI’s language models function. In this post, we’ll look at how two different autonomous agents (BabyAGI and Auto-GPT) leverage these capabilities. Agents like these provide a way […]

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Chatting With A LLM – Using the Open AI APIs

This is the third post in a series that looks at how autonomous agents use generative AI models. Introduction The previous post discussed how the text completion and chat completion capabilities work generally. It also showed some examples of prompts and responses. In this post, we’ll see how to use Open AI’s API to perform […]

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Probabilistic Chatting – How Text Completions and Chat Completions Work Behind the Scenes

This is the second post in a series that looks at how autonomous agents use generative AI models. Introduction The previous post introduced transformers and how they impacted recent natural language processing (NLP) developments. In this post, we’ll take a look at how this sort of transformer model works with completion and chat completion interactions. […]

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The Rise of Transformers – An Introduction to Transformers and LLMs

This is the first post in a series that looks at how autonomous agents use generative AI models. Introduction The past few years have included rapid advancements in the field of artificial intelligence (AI). These advancements are particularly demonstrable in the natural language processing (NLP) domain. Newer transformer based models have demonstrated remarkable capabilities in […]

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Identifying AI Opportunities: A Hypothetical Case Study

Previously, we discussed how there is a large class of business problems that AI can address. Here, we’re going to follow up that thought with a hypothetical case study. In particular, we’ll look at how AI could be part of a product for addressing elder care. When we hear elder care and artificial intelligence some remarkable […]

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Identifying AI Opportunities

We often hear or read that artificial intelligence will change the world as we know it. This misses the mark; AI has changed the world that we live in forever. It isn’t some futuristic technology that will alter our lives someday. It’s a feature in products that we interact with today. Artificial intelligence isn’t a […]

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DIY AI: Sentiment Analysis P2: Implementation

Blog Post Written By: Lisa Lo Once again, we’re back to discuss sentiment analysis. In our last post, we went over what sentiment analysis is, why it’s useful, and the main approaches to solving sentiment analysis. Now, with all that knowledge in hand, it’s time to start coding our own sentiment analyzers! Setup You’ll need […]

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DIY AI: Sentiment Analysis P1: The Overview

Blog Post Written By: Lisa Lo In our last (first?) NLP post, we explored Natural Language Processing (NLP). As mentioned, a great place to start discovery of NLP is sentiment analysis since it’s a well-known and studied problem, but also very useful. So, today we’ll be going over an overview of sentiment analysis and how […]

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A Bag of Words: Levels of Language

Communicating with computers is difficult, as anyone who has used one can attest. The burden is on the individual to clearly communicate with the machine. But what if computers could understand the way we speak naturally? This isn’t just about programming. It’s about all the data that’s stored not in any machine code, but rather […]

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