Semantic Kernel, which combines design patterns of the most recent AI research, allows developers to give their apps sophisticated abilities, including prompt chaining and recursive reasoning. It also includes summarizations, contextual memories, long-term memories, embeddings semantic indexing planning, access to external knowledge sources, as well as to your own data.
The Key Features
LLM integration: Integrate advanced AI into your application seamlessly.
A wide range of skills are available: Improve the functionality of your app with chaining prompts, recursive thinking, summarizing, etc.
Use external sources of knowledge and your data to improve insights.
Semantic Kernel is a scalable solution that can easily be scaled to meet the growing needs of your applications.
Examples of Use:
* Developers of apps who want to improve their products with the latest AI technology.
AI-enabled software is a great way to enhance your business.
The LLM is a great tool for researchers and AI enthusiasts interested in exploring the real-world application of LLM.
Semantic Kernel unlocks the potential of LLM in your application, resulting in a better user experience.