No project description provided
Project description
About Semantic Kernel
Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages. The SK extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based memory unlocking new potential and adding value to applications with AI.
Semantic Kernel incorporates cutting-edge design patterns from the latest in AI research. This enables developers to augment their applications with advanced capabilities, such as prompt engineering, prompt chaining, retrieval-augmented generation, contextual and long-term vectorized memory, embeddings, summarization, zero or few-shot learning, semantic indexing, recursive reasoning, intelligent planning, and access to external knowledge stores and proprietary data.
Getting Started ⚡
- Learn more at the documentation site.
- Join the Discord community.
- Follow the team on Semantic Kernel blog.
- Check out the GitHub repository for the latest updates.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file semantic_kernel-0.4.0.dev0.tar.gz.
File metadata
- Download URL: semantic_kernel-0.4.0.dev0.tar.gz
- Upload date:
- Size: 125.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 488c3f3df8f2cb655e35a376cfb4e276aaf25e508014649729379c706a354982 |
|
| MD5 | f46611bca5147f95c98c18eef0753ecb |
|
| BLAKE2b-256 | dd1b8215394f6303e40b113227300e5a42533079bfb89e7a06ed64f0e7880d0e |
File details
Details for the file semantic_kernel-0.4.0.dev0-py3-none-any.whl.
File metadata
- Download URL: semantic_kernel-0.4.0.dev0-py3-none-any.whl
- Upload date:
- Size: 207.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cfb4a8fd68095c9a87b6f0c35f2e80f4bedc7127676bced2326dab7eed522881 |
|
| MD5 | 1f8b2390c4f53500ac265cb23fc45b1e |
|
| BLAKE2b-256 | adb7de6825b7731aecc73c7e849e607fa3f44cb7417eda90412afa5d910b7575 |
