Semantic Kernel (SK)
Semantic Kernel is a powerful tool that empowers developers to easily integrate AI services like OpenAI and Azure OpenAI into their existing code. It bridges the gap between conventional programming and the capabilities of large language models, making it easier to build intelligent applications.
Highlights
- Effortlessly integrate AI: Connect to leading AI services like OpenAI and Azure OpenAI with ease.
- Flexible planning: Utilize a range of built-in planners (action, sequential, and stepwise) to design complex workflows.
- Enhanced conversations: Create engaging and context-aware interactions by using "personas" with "synthetic memories."
- Seamless data access: Connect to external data sources and native functions with plugins and Azure Cognitive Search integration.
Key Features
- Open-source community: Leverage the power of a collaborative community for ongoing development and support.
- Customizable planners: Choose the planner that best suits your needs to design and optimize your application's logic.
- Personalities with memory: Create unique AI personalities that learn and retain information over extended conversations.
- Seamless integration: Connect to external data sources and native functions to expand the capabilities of your AI applications.
This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.
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