#Semantic Kernel

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#Semantic Kernel Reel by @dev.leader (verified account) - Getting started with Semantic Kernel in C# is SUPER easy! In only a few lines of code, you can have it wired up in your ASP NET Core application. An
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@dev.leader
Getting started with Semantic Kernel in C# is SUPER easy! In only a few lines of code, you can have it wired up in your ASP NET Core application. And one of the best parts about that? It's that familiar fluent-builder syntax we all know and love! Try it out today! Watch the full video here: https://youtu.be/YLv5z6NI494
#Semantic Kernel Reel by @dailymathvisuals - The Kernel Trick explained in 75 seconds ✨ Ever wondered how machine learning separates data that seems impossible to separate? Here's the secret:
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@dailymathvisuals
The Kernel Trick explained in 75 seconds ✨ Ever wondered how machine learning separates data that seems impossible to separate? Here's the secret: → In 2D, no line can separate this data → But lift it into 3D... → A simple plane does the job perfectly This is why Support Vector Machines are so powerful 🧠 Save this for later 🔖 — Follow @dailymathvisuals for daily ML & math visualizations #machinelearning #artificialintelligence #datascience #python #coding #svm #kerneltrick #ai #tech #programming #learnwithreels #educationalreels #mathvisualization #deeplearning #engineering
#Semantic Kernel Reel by @shivanjaliverse - I started my career as a Software Engineer at Microsoft, working on a PaaS product on Azure. Solid engineering work, but I always knew I wanted to mov
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@shivanjaliverse
I started my career as a Software Engineer at Microsoft, working on a PaaS product on Azure. Solid engineering work, but I always knew I wanted to move closer to AI. When I transitioned into working on an AI-agent based product in Copilot Studio, it wasn’t overnight or accidental. I went back to the basics! Revised Python and ML fundamentals… then steadily built depth in GenAI: prompt engineering, embeddings, RAG, vector stores, and hands-on integrations with different LLMs. I explored agent frameworks like LangChain and Semantic Kernel, and experimented with SmolAgents, CrewAI, and Bot Framework to understand different agent architectures and patterns. Alongside this, I built small real-world projects like chatbots, retrieval systems, and automations… to see how these systems actually behave beyond demos. I also focused on production-ready thinking: logging, monitoring, prompt versioning, and Responsible AI, because agents don’t live in notebooks… they run in real systems. What made the transition effective wasn’t starting from scratch, but mapping my SWE experience to AI impact… using agents to automate workflows, improve search, reduce manual effort, and scale decision-making. This isn’t a story about cracking interviews or having a PhD in AI. It’s about being consistent, practical, and curious while already being a software engineer. I’ve put together a 6-month AI Engineer roadmap that you can follow (for both students and working professionals) Comment “AI” and I’ll share the complete roadmap with you 📩 [ AI Engineer, AI Engineer Roadmap, Software developer, Software Engineer, Engineering, Microsoft, Story of my life, Career advice, Mentoring, Career guidance ] #AI #Roadmap #Microsoft #SoftwareEngineer #Corporate
#Semantic Kernel Reel by @freshgrad.com.official - TOP AGENTIC AI FRAMEWORK . . . .. . . #AgenticAI #AIFrameworks #LLMAgents #AutonomousAI #MultiAgentSystems ​#LangChain #CrewAI #AutoGen #LangGraph #
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@freshgrad.com.official
TOP AGENTIC AI FRAMEWORK . . . .. . . #AgenticAI #AIFrameworks #LLMAgents #AutonomousAI #MultiAgentSystems ​#LangChain #CrewAI #AutoGen #LangGraph #SemanticKernel ​#AIAutomation #TechTrends #AIEngineering #FutureofWork #GenerativeAI
#Semantic Kernel Reel by @beyond__intelligence - Microsoft is slowly owning the entire enterprise AI Agent market And most people have only seen 10% of it, here's the rest... Most people know Copil
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@beyond__intelligence
Microsoft is slowly owning the entire enterprise AI Agent market And most people have only seen 10% of it, here's the rest... Most people know Copilot. Maybe Azure. Maybe GitHub Copilot. But Microsoft has quietly assembled one of the most complete full-stack AI ecosystems on the planet, from research models to responsible AI guardrails. Let me break down all 7 layers: 📌 Models - Azure GPT-5.1, GPT-5.1 Codex, Microsoft Phi-4, MAI-1, KOSMOS-2, MAI-Voice-1, Florence 2 - The foundational intelligence layer powering every product above it 📌 Frameworks - Microsoft Agent Framework, Semantic Kernel, Magentic One, Tiny Trope, Autogen, Task Weaver, UFO, Microsoft Agent Lightning - The building blocks for designing and orchestrating AI Agents 📌 Responsible AI - Azure Confidential Computing, Microsoft Defender for Cloud, Azure AI Content Safety, Microsoft Entra Agent ID, PyRIT, Microsoft Purview - Safety and governance baked in, not bolted on 📌 Productivity - Excel, PowerPoint, Teams, OneNote, Outlook, Loop, Access, Publisher - Your daily workflow, now AI-augmented 📌 Image & Video - Microsoft Designer, Copilot Image, MAI-Image-1, Clipchamp, Sora in M365 Copilot, Paint 3D - End-to-end visual content creation inside the Microsoft stack 📌 Coding - GitHub Copilot, VS Code Copilot, Azure AI Toolkit, Azure Skills Plugin, GitHub Copilot Workspace, Visual Studio - From writing to deploying, AI-assisted at every step 📌 AI Agents - Microsoft Copilot, SharePoint Knowledge Agents, Copilot Studio, Dynamics 365, Power Platform, Viva Learning Agent, Edge Copilot, Security Copilot - The autonomous layer that ties the entire ecosystem together And this is just the outer surface of the Microsoft Core offering. If we start to dive deeper into Azure AI, the layer goes even deeper. This just shows Microsoft's commitment on helping enterprises adopt agentic AI. Not only do they make it very easy with no-code tools like Power Platform, but also allows you to customize it and build custom agents using their agent frameworks and tools.
#Semantic Kernel Reel by @softwaretestingjobs_ - Methods of Selenium Web Element Interface. Software Testing Job updates . . . . . . . . . . #softwaretestingjobs #tester #softwaretesting #product t
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@softwaretestingjobs_
Methods of Selenium Web Element Interface. Software Testing Job updates . . . . . . . . . . #softwaretestingjobs #tester #softwaretesting #product tester #manualtesting #software #job #testingjobs #jobfair #jobopportunity #jobseekers #softwaretester #interview #hiring #hiringnow #hiringalert #jobshiring #learning #testing #qa #functionaltesting # automationtesting #softwareengineer #qualityassurance #testautomation #softwaretester #qaengineer #selenium #jobs #career
#Semantic Kernel Reel by @msftmechanics - Create scalable, interactive multi-agent apps to complete complex tasks. See how to get started using Azure AI Foundry along with Semantic Kernel for
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@msftmechanics
Create scalable, interactive multi-agent apps to complete complex tasks. See how to get started using Azure AI Foundry along with Semantic Kernel for orchestration. https://youtu.be/GD7MnIwAxYM Create agentic solutions quickly and efficiently with Azure AI Foundry. Choose the right models, ground your agents with knowledge, and seamlessly integrate AI into your development workflow—from early experimentation to production. Test, optimize, and deploy with built-in evaluation and management tools. See how to leverage the Azure AI Foundry SDK to code and orchestrate intelligent agents, monitor performance with tracing and assessments, and streamline DevOps with production-ready management. #AzureAIFoundry #microsoft #azureai #ai #genai #azureopenai
#Semantic Kernel Reel by @jaiinfowayofficial - Top AI Agent Frameworks You Should Know in 2025 🚀 From LangChain to Semantic Kernel, the AI agent ecosystem is evolving at lightning speed-driving a
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@jaiinfowayofficial
Top AI Agent Frameworks You Should Know in 2025 🚀 From LangChain to Semantic Kernel, the AI agent ecosystem is evolving at lightning speed—driving automation, intelligence, and real-time decision-making across industries. At JaiInfoway, we help businesses adopt modern AI frameworks to build scalable, high-impact solutions that boost efficiency, accuracy, and ROI. Explore the full visual breakdown below 👇 🌐 www.jaiinfoway.com #AI #Agents #LangChain #AutoGen #CrewAI #LlamaIndex #SemanticKernel #AIEngineering #GenAI #TechInnovation #JaiInfoway
#Semantic Kernel Reel by @learnbayofficial - "You're learning Gen AI. Companies have already moved to Agentic AI." The real shift happening right now is Agentic AI - systems that don't just resp
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@learnbayofficial
"You're learning Gen AI. Companies have already moved to Agentic AI." The real shift happening right now is Agentic AI - systems that don’t just respond to prompts but plan, reason, and take actions on their own. Behind every AI agent is a powerful stack: ✅ Python, Jupyter, PyTorch for the foundations ✅ GenAI models like GPT, Llama, Gemini, DeepSeek, and Claude ✅ Agent frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel ✅ API design (REST, GraphQL, gRPC, HTTP) that connects agents to tools Vector databases, memory, and tool integrations that let agents interact with the real world When these pieces come together, AI evolves from simple chatbots into autonomous systems capable of solving real problems. 🎯 Single agents. 🎯 Multi-agent systems. 🎯 Human-AI collaboration. 👉 This is the learning roadmap behind Agentic AI. Save this post - because the people who understand this stack today will be the ones building the AI products everyone uses tomorrow. 🚀 [ ai agents, ai engineering, agentic ai, ai developer roadmap, langchain, crewai, ai architecture, generative ai, ai system design, python ai, ai infrastructure, aiengineering, machinelearning, futureofai ] #aiagents #generativeai #aiengineering #futureofai #agenticai
#Semantic Kernel Reel by @thesherrycode.ai - 9 AI Agent Frameworks For Building AI Agents🤖 🌟AutoGen: The Swiss Army knife of agent frameworks for complex tasks and live data streams. Key featu
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@thesherrycode.ai
9 AI Agent Frameworks For Building AI Agents🤖 🌟AutoGen: The Swiss Army knife of agent frameworks for complex tasks and live data streams. Key features: flexibility, handles multiple tasks simultaneously, and planning agent. Use cases: setting up intricate plans and running multiple agents at once. 🌟Semantic Kernel: Manages tasks while dealing with continuous data. Key features: reusability, built-in memory module, integration with Autogen. 🌟Langchain: A widely-used LLM framework known for its extensive community and numerous features. 🌟CrewAI: Simplifies agent selection, making it perfect for beginners. Key Features: ease of use. Limitation: it currently doesn’t handle streaming function calling. 🌟LangGraph: Stateful multi-actor systems. Key features: complex workflows, agent coordination. Use cases: interactive, adaptive AI applications. 🌟Smolagents: Intelligent Collaborative System. Key features: lightweight, modular, customization. Use cases: diverse AI applications and workflows. 🌟AutoGPT: Autonomous AI agents. Key features: flexibility, adaptive learning, minimal intervention. Use cases: automated content creation and task management. 🌟MemGPT: Enhances agent capabilities by extending conversational memory and personalizing interactions. Note: the author was unable to get MemGPT to work. 🌟LangFlow: A no-code programming tool with a GUI for LangChain, streamlining agent experimentation and prototyping. Choosing the right framework depends on your specific needs and expertise. Which frameworks you are trying next ?! Want to learn about AI Agents ?! We designed a short course on AI Agents, drop me a DM for more details ☕️ Consider giving it a FOLLOW @thesherrycode.ai for more content on GenAI, LLMs and Agents 👾 Cheers, Sherry
#Semantic Kernel Reel by @nextashinc - Top AI Agent Frameworks You Should Know Want to build smart, independent AI systems that can think, act, and collaborate? 🚀 These top AI agent fra
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@nextashinc
Top AI Agent Frameworks You Should Know Want to build smart, independent AI systems that can think, act, and collaborate? 🚀 These top AI agent frameworks are what developers and innovators are using right now: 🔻 LangChain – Connect LLMs with APIs & vector databases for context-rich workflows. 🔻 AutoGen – AI agents + human-in-the-loop for powerful collaboration. 🔻 CrewAI – Organize multiple AI agents into teams with roles & tasks. 🔻 LlamaIndex – Index + query documents, APIs & private data sources. 🔻 Semantic Kernel – Plugin-based framework linking AI services with flexible skills. ✨ The real question: Which one will YOU master first? 👉 Save this post for later and share it with your team. 👉 Follow us for more AI, coding, and system design insights. #AI #AItools #AIagents #LangChain #AutoGen #CrewAI #LlamaIndex #SemanticKernel #MachineLearning #SystemDesign #CodingLife #DeveloperCommunity #ProductivityTools #TechTrends #FutureOfAI
#Semantic Kernel Reel by @edhonour (verified account) - Orchestration Frameworks like Langchain, Semantic Kernel, Haystack, and CrewAI coordinate and manage the flow of tasks in an AI application.
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@edhonour
Orchestration Frameworks like Langchain, Semantic Kernel, Haystack, and CrewAI coordinate and manage the flow of tasks in an AI application.

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