#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
#csharp
JSC “KDB Bank Uzbekistan” is looking for Middle or High level of S/W designer with C#, C Programming
Job description:
Software design
· Experience to design new software for multi users using middleware like Apache Kafka
External Interface module development, maintenance and support
· Receiving and analyzing user’s request
· Coding and Test
· Implementation and documentation
· Supporting of the banking system users
Professional requirements:
· Experience of development tool: Visual Studio, GCC or any C compiler
· Experience of Database environment (Oracle)
· At least 2-3 years of experience in the field of programming in C/C++ & C#
· Time management (in order to meet deadlines set by the management)
· English Speaking (should be able to execute instruction and verbal report by English)
· Good written and spoken Russian
Working conditions:
Salary based on interview results, depends on skills and knowledge from 12 mln.soums to 22 mln. soums
Working hours 5/2 from 9:00 - 18:00
Office is located in the center of Tashkent
Benefits:
Medical insurance
Incentive payments for Holidays
Performance bonus
Material assistances for special events (marriage, birth of child and etc.)
Mortgage loan, overdraft facility
Teambuilding
Contacts:
Nozima Yakubova, Head of HR dpt.
telegram: @nozimayakubova
email: [email protected]
More information you can get from our web site: https://kdb.uz/en
https://www.analyticsvidhya.com/blog/2016/08/deep-learning-path/?utm_content=bufferd56c5&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer
#Deep_Learning, a prominent topic in #Artificial_Intelligence domain, has been in the spotlight for quite some time now. It is especially known for its breakthroughs in fields like Computer Vision and Game playing (Alpha GO), surpassing human ability. Since the last survey, there has been a drastic increase in the trends. (click here to check out the survey)
Here is what Google trends shows us:
https://django-ai.readthedocs.io/en/latest/readme.html
#Artificial_Intelligence for #Django
django-ai is a collection of apps for integrating statistical models into your Django project so you can implement #Machine_Learning conveniently.
Maid - Mobile Artificial Intelligence Distribution
Maid is a cross-platform free and an open-source application for interfacing with llama.cpp models locally, and remotely with Ollama, Mistral, Google Gemini and OpenAI models remotely.
-Choose from A wide range of models that runs LOCALLY and access remote models via api key!
-Text based output
-Image Generation (Selected Models only)
-No video or short clips generation yet
-Voice generation on selected models (Not tested)
-Setting model parameters
-Setting system prompt (Making the model behave/generate output in a certain way).
-And more.
Get it on
Github - https://github.com/Mobile-Artificial-Intelligence/maid/releases/latest
Fdroid - https://f-droid.org/packages/com.danemadsen.maid/
Spystore - https://play.google.com/store/apps/details?id=com.danemadsen.maid
*Don't clear CACHE OF THE APP AND EXCLUDE IT FROM SYSTEM'S AUTO CACHE CLEANING as app stores everything in device cache*
Follow @nogoolag and @libreware for more
#ai
Cherry Studio
Cherry Studio is a desktop client for Windows, Mac and Linux, which supports many LLM providers, including large cloud services and local models.
Among its main functions is the ability to work with more than 300 pre -designed #AI assistants, the creation of custom assistants, as well as support for various formats of documents, including text, images and office files.
The application offers tools for global search, top management and translating, which significantly improves interaction with the user thanks to the cross -platform and many settings options.
https://github.com/cherryhq/cherry-studio
LibreChat AI
Open-source platform that allows users to chat and interact with various #AI models through a unified interface. You can use OpenAI, Gemini, Anthropic and other AI models using their API. You may also use Ollama as an endpoint and use LibreChat to interact with local LLMs. It can be installed locally or deployed on a server.
LibreChat is designed to be highly customizable and supports a wide range of AI providers and services. Let me summarize its main features:
Free and Open Source: Accessible to everyone without any costs.
Customization: Offers extensive options to tailor the platform to individual preferences.
Multi-AI Support: Integrates with numerous AI models and services.
Unified Interface: Provides a consistent experience for interacting with different AI models.
https://www.librechat.ai
https://itsfoss.com/librechat-linux/
Jan.ai
https://jan.ai
A platform that enables you to run self-hosted local #AI. Jan provides an OpenAI-equivalent API server at localhost:1337 that can be used as a drop-in replacement with compatible apps.
With Jan, you can:
-Run open-source LLMs locally or connect to cloud AIs like ChatGPT or Google.
-Search the web and databases.
Integrate AI with everyday tools to work on your behalf (with permission).
-Customize and add features with Extensions.
Jan is opinionated software about what AI should be.