LLMs aren’t perfect. In fact, that’s how they’re meant to be. LLMs are probabilistic systems. They work by providing different possible results based on what the inputs could probably mean and based on what data is probably relevant. Given all those possibilities and probabilities, LLMs are bound to get things wrong. In this episode hosts Kathleen Walch and Ron Schmelzer discuss using custom instructions for LLMs and why this is a best practice.
Continue reading Prompt Engineering Best Practices: Using Custom Instructions [AI Today Podcast] at Cognilytica.
AI Today Podcast: Trustworthy AI Series: Why are trustworthy, ethical and responsible AI systems necessary?
AI Today Podcast: AI Glossary Series – Robotic Process Automation (RPA), Attended bots, Unattended bots, Low Code, No Code
AI Today Podcast: AI Glossary Series – Automation, Robot, Robotics, Collaborative Robot (Cobot)
AI Today Podcast: How AI is Transforming Insurance, Interview with Connor Atchison, Wisedocs
AI Today Podcast: AI Glossary Series – Data Science Notebooks, Jupyter, Colab
AI Today Podcast: AI Glossary Series – Automated Machine Learning (AutoML)
AI Today Podcast: AI Glossary Series – Machine Learning Tools: Keras, PyTorch, Scikit Learn, TensorFlow, Apache Spark, Kaggle
AI Today Podcast: AI Glossary Series – Machine Learning Development Languages: Python, R, Julia, Scala
AI Today Podcast: AI Glossary Series – DevOps, Machine Learning Operations (ML Ops)
AI Today Podcast: AI Glossary Series – Data Drift, Model Drift, Model Retraining
AI Today Podcast: AI Glossary Series – Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS)
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 – Operationalization
AI Today Podcast: AI Glossary – Digital Transformation, Return on Investment (ROI), Key Performance Indicator (KPI)
AI Today Podcast: Revolutionizing AI-Driven E-commerce Strategy, Interview with Sean Mullaney, Algolia
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 – Model Validation, Validation Data, Test Data, and Cross-Validation
AI Today Podcast: AI Glossary Series – Model Tuning and Hyperparameter
AI Today Podcast: AI Glossary Series – OpenAI, GPT, DALL-E, Stable Diffusion
AI Today Podcast: Digitizing the Mind: Interview with Dmitry Shapiro, YouAi
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