#csharp#ai#artificial_intelligence#llm#openai#sdk
Semantic Kernel is a tool that helps developers build and manage AI systems easily. It supports multiple programming languages like C#, Python, and Java, making it versatile for different projects. This tool allows you to connect your AI models to various services and databases, which helps in automating tasks and making decisions based on user inputs. It's especially useful for businesses because it's reliable, secure, and can handle complex workflows. By using Semantic Kernel, developers can create intelligent AI agents that can interact with users and perform tasks efficiently.
https://github.com/microsoft/semantic-kernel
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
#Scikit_learn is an open source Python library that implements a range of #machine_learning , preprocessing, cross-#validation and #visualization algorithms using a unified interface...
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Telegram Takes Over Blockchain Control
Telegram is ramping up its control over the TON blockchain by increasing the number of million-TON validators it operates. The minimum amount required to participate in validation has risen from 414K to 500K TON since December. This consolidation suggests a shift towards centralized management. Telegram has added 25 new validators in January, boosting its share of validators to over 66%. This move may simplify blockchain upgrades but raises concerns over decentralization. Telegram appears to be monetizing TON more directly, potentially selling it at discounts while maintaining income from accumulated TON investments.
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