while there is plenty to explain vis-a-vis what we know, what a model such as GPT-3.5 is actually doing internally—what it’s thinking, if you will—has yet to be figured out. Here’s an overview of what wedok
In a number of areas, AI can perform tasks more efficiently and accurately than humans. It is especially useful for repetitive, detail-oriented tasks such as analyzing large numbers of legal documents to ensure relevant fields are properly filled in. AI's ability to process massive data sets gi...
Generate new content about specific topics and explain key ideas.SAS® Visual Text Analytics How can you find answers in large volumes of textual data? By combining machine learning with natural language processing and text analytics. Find out how your unstructured data can be analyzed to ...
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a user typically appends an instruction such as "Describe your reasoning in steps" or "Explain your answer step by step" to the end of their query to a large language model (LLM). In essence, this prompting technique asks the LLM to not only generate a result, but also detail the serie...
Explain how specific points the author or illustrator makes in a text are supported by relevant reasons. i) Give them different types of texts (stories, articles, ads) and ask them to identify if the author’s purpose is to “inform,”“persuade,” or “entertain.” ii) Provide a gra...
The independent variable (also known as the predictor or explanatory variable) is the variable used to predict or explain the variation in the dependent variable. It is denoted as X. 3. Regression model A regression model is a mathematical equation representing the connection between the dependent...
As a result, users can see orders-of-magnitude increases in MySQL performance for analytics and mixed workloads. In addition, HeatWave AutoML lets developers and data analysts build, train, deploy, and explain the outputs ofmachine learningmodels within HeatWave MySQL in a fully automated way. The...
As the number of convolutional layers connected in series increases, so does the level of detail that can be recognized. The process starts with simple object properties, such as edges or points, after the first convolution and goes on to detailed structures, such as corners, circles, ...
Here's a fun project attempting to explain what exactly is happening under the hood for some counter-intuitive snippets and lesser-known features in Python.While some of the examples you see below may not be WTFs in the truest sense, but they'll reveal some of the interesting parts of ...