Prompt Engineering Best Practices: Using Plugins [AI Today Podcast]
AI Today Podcast24 Apr 2024

Prompt Engineering Best Practices: Using Plugins [AI Today Podcast]

Plugins for Large Language Models (LLMs) are additional tools or extensions that enhance the LLM’s capabilities beyond its base functions. In this episode hosts Kathleen Walch and Ron Schmelzer discuss this topic in greater detail. Can I use plugins with ChatGPT? Plugins can access external databases, perform specific computations, or interact with other software and APIs to fetch real-time data, execute code, and more. Continue reading Prompt Engineering Best Practices: Using Plugins [AI Tod...

Episoder(524)

AI Today Podcast: AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)

AI Today Podcast: AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms DevOps, Machine Learning Operations (ML Ops), explain how these terms relate to AI and why it’s importan...

7 Jul 202312min

AI Today Podcast: AI Glossary Series – Data Drift, Model Drift, Model Retraining

AI Today Podcast: AI Glossary Series – Data Drift, Model Drift, Model Retraining

Data is the heart of AI. Which is why having good, clean data is so critical. But what happens when your data changes of over? What does that do to your models? In this episode of the AI Today podcast...

5 Jul 202311min

AI Today Podcast: AI Glossary Series – Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS)

AI Today Podcast: AI Glossary Series – Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS)

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS), explain how these terms relat...

30 Jun 202317min

AI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path Analytics

AI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path Analytics

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, and Hot-Path...

28 Jun 202319min

AI Today Podcast: AI Glossary Series – Operationalization

AI Today Podcast: AI Glossary Series – Operationalization

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Operationalization, explain how this term relates to AI and why it’s important to know about them. Show N...

23 Jun 202311min

AI Today Podcast: AI Glossary – Digital Transformation, Return on Investment (ROI), Key Performance Indicator (KPI)

AI Today Podcast: AI Glossary – Digital Transformation, Return on Investment (ROI), Key Performance Indicator (KPI)

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Digital Transformation, Return on Investment (ROI), and Key Performance Indicator (KPI), explain how the...

21 Jun 202313min

AI Today Podcast: Revolutionizing AI-Driven E-commerce Strategy, Interview with Sean Mullaney, Algolia

AI Today Podcast: Revolutionizing AI-Driven E-commerce Strategy, Interview with Sean Mullaney, Algolia

In this episode of the AI Today Podcast hosts Kathleen Walch and Ron Schmelzer get to talk to Sean Mullaney who is the Chief Technology Officer (CTO) at Algolia. We discuss how AI is revolutionizing e...

19 Jun 202328min

AI Today Podcast: AI Glossary Series – Confusion Matrix, Accuracy, Precision, F1, Recall, Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curve

AI Today Podcast: AI Glossary Series – Confusion Matrix, Accuracy, Precision, F1, Recall, Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curve

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Confusion Matrix, Accuracy, Precision, F1, Recall, Sensitivity, Specificity, Receiver-Operating Characte...

16 Jun 202316min

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