wehub-resource-sync
23 lines
1.2 KiB
Markdown
23 lines
1.2 KiB
Markdown
# About Semantic Kernel
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**Semantic Kernel (SK)** is a lightweight SDK enabling integration of AI Large
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Language Models (LLMs) with conventional programming languages. The SK
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extensible programming model combines natural language **semantic functions**,
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traditional code **native functions**, and **embeddings-based memory** unlocking
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new potential and adding value to applications with AI.
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Semantic Kernel incorporates cutting-edge design patterns from the latest in AI
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research. This enables developers to augment their applications with advanced
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capabilities, such as prompt engineering, prompt chaining, retrieval-augmented
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generation, contextual and long-term vectorized memory, embeddings,
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summarization, zero or few-shot learning, semantic indexing, recursive
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reasoning, intelligent planning, and access to external knowledge stores and
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proprietary data.
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# Getting Started ⚡
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- Learn more at the [documentation site](https://aka.ms/SK-Docs).
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- Join the [Discord community](https://aka.ms/SKDiscord).
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- Follow the team on [Semantic Kernel blog](https://aka.ms/sk/blog).
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- Check out the [GitHub repository](https://github.com/microsoft/semantic-kernel) for the latest updates.
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