Developer Tools → AI Integration SDKs
IBM Watson SDKs provide libraries for accessing Watson AI services (e.g., assistant, discovery, speech)
Firebase ML Kit (now part of Google ML Kit) provides SDKs for mobile developers
PyTorch Mobile is an SDK for deploying PyTorch models on Android and iOS devices.
Core ML is Apple’s SDK for integrating machine learning models into iOS, macOS, and
Microsoft Azure AI SDKs offer libraries for integrating cognitive services (e.g., vision, speech, language)
Amazon AWS AI SDKs provide tools for integrating AI services like Rekognition (image/video analysis),
OpenAI API offers SDKs for Python and Node.js to integrate GPT-4, DALL·E, and Whisper
Hugging Face Transformers provides SDKs for accessing and deploying state-of-the-art natural language processing models.
ML Kit is Google’s SDK for mobile developers to integrate machine learning features into
TensorFlow Lite is a lightweight, cross-platform SDK for deploying machine learning models on mobile
Developer Tools → Prompt Engineering Tools
PromptEngineer is a community-driven platform for sharing and discovering effective prompts for AI models.
Scale Spellbook is a tool for developing, testing, and deploying prompts for large language
