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Using OpenAI API for Natural Language Processing in Python
This course covers various endpoints of the Open AI API with GPT and how it can accomplish NLP tasks such as text completion, summarization, and classification.
Using OpenAI API for Natural Language Processing in Python
This course covers various endpoints of the Open AI API with GPT and how it can accomplish NLP tasks such as text completion, summarization, and classification.
Using OpenAI APIs: Accessing OpenAI APIs from Python
Excel in OpenAI APIs using Python. Discover API key authentication, access to completions APIs via endpoints, model configurations, and control of creativity and response length.
Using OpenAI APIs: Exploring APIs with the OpenAI Playground
Explore GPT models in the OpenAI Playground. Experiment with parameters to fine-tune responses and learn how to utilize multiple APIs, including chat completions and assistant APIs.
Using OpenAI APIs: Fine-tuning Models, the Assistants API, & Embeddings
Explore fine-tuning AI models like GPT-3 and 4 with OpenAI APIs. Learn to utilize the Assistants API and understand the creation and comparison of text embeddings.
Using OpenAI APIs: Using Image & Audio APIs
Explore OpenAI's DALL-E and Whisper models. Generate stunning images with text prompts, transcribe and translate multilingual audio with high accuracy.
Using OpenAPI/Swagger for Testing and Code Generation in ASP.NET Core 2
Testing an API improves its reliability. Generating client-side code helps with getting started fast when building a client that consumes your API. OpenAPI can help with both. In this course, you'll learn how.
Using Operators, Decision, and Looping Constructs (Java SE 8 Programmer I Certification 1Z0-808)
This course will teach you the tips, tricks, and pitfalls of using operators and flow control statements in Java to help you prepare for the certification exam.
Using Outlook (2016)
Learn all about the new and improved features of Outlook 2016, including email, calendar, contacts, and task management.
Using PCA to Improve Facial Recognition
Discover how Principal Component Analysis (PCA) can enhance facial recognition systems. Learn how PCA reduces dimensionality, improves model accuracy, and speeds up processing for face detection, identity verification, and security applications.
Using PCA to reduce dimensionality
Master Principal Component Analysis (PCA) to reduce dimensionality in high-dimensional datasets. Learn how to transform and visualize data, uncover hidden patterns, and improve the performance of machine learning models.
Using Performance and Availability Metrics to Measure the Health of Services
This course reviews performance and availability metrics to measure the health of services on IBM Cloud.