How to Develop Robust Semantic Models, Part 2 of 3: When Meaning Resists Structure Reading Time: 3 minutes In the first part of this series, I provided an introduction to semantic modeling, coverin...

#Business #Data #Science #Technology #data […]

[Original post on datamanagementblog.com]

Thrilled to present at the Azure Cosmos DB Conf 2026 developer.azurecosmosdb.com/conf/. Join me on April 28th 2026, to hear the latest and greatest about Building Chat History and Semantic Caching with Azure Cosmos DB. #CosmosDB #Azure #AI #semantic

⚡ 2x+ efficiency, zero compromise: By integrating Soft Mixture-of-Experts, CSMoE delivers superior or comparable performance to state-of-the-art models while requiring significantly fewer FLOPs across scene #classification, #semantic #segmentation, and #image #retrieval.

Vector Data in .NET – Building Blocks for AI Part 2 Discover how Microsoft.Extensions.VectorData brings unified vector database access to .NET - one interface for semantic search across any vecto...

#.NET #AI #C# #Embeddings #Microsoft.Extensions […]

[Original post on devblogs.microsoft.com]

Related:
bsky.app/profile/perb... #semantic #pareidolia

From Keywords to Conversations: How AI’s Semantic Search Is Transforming E-Commerce In this article from keywords to conversions, you'll learn how AI's semantic search is transforming the e-commerce SEO industry

From Keywords to Conversations: How AI’s Semantic Search Is Transforming E-Commerce visualmodo.com/from-keyword... 🤖🛒🔍 #Keywords #Conversations #AI #Semantic #Search #ecommerce

Semantic Similarity with BERT in Python Keras Calculating how similar two sentences are goes beyond just matching words. It is about understanding the underlying intent and context of the language ...

#Python #Keras #Tutorials #Python #Tutorials #Semantic […]

[Original post on pythonguides.com]

Semantic Similarity with BERT in Python Keras Calculating how similar two sentences are goes beyond just matching words. It is about understanding the underlying intent and context of the language ...

#Python #Programming #Tutorials #Python #Tutorials […]

[Original post on pythonguides.com]

Server Analysis: DevOps, Cooking, Travel & Sci-Fi #shorts Discover how a semantic knowledge graph connects the term 'server' to DevOps, cooking, travel, and sci-fi by analyzing data and identifying semantically similar terms. It's all about data! #semantic #knowledgegraph #DevOps #cooking #travel #scifi

FYI: Server Analysis: DevOps, Cooking, Travel & Sci-Fi #shorts: Discover how a semantic knowledge graph connects the term 'server' to DevOps, cooking, travel, and sci-fi by analyzing data and identifying semantically similar terms. It's all about data! #semantic #knowledgegraph #DevOps #cooking…

GitHub - agno-agi/dash: Self-learning data agent that grounds its answers in 6 layers of context. Inspired by OpenAI's in-house implementation. Self-learning data agent that grounds its answers in 6 layers of context. Inspired by OpenAI's in-house implementation. - agno-agi/dash

#Agno Dash - self improving #AI Agent with #SQL based and #semantic #memory.
Apache 2.0 lic #OpenSource
#LLM #Agents
github.com/agno-agi/dash

TF-IDF vs. Embeddings: From Keywords to Semantic Search Table of Contents TF-IDF vs. Embeddings: From Keywords to Semantic Search Series Preamble: From Text to RAG What You’ll Build Across the Se...

#Machine #Learning #NLP #RAG #Semantic #Search #Tutorial […]

[Original post on pyimagesearch.com]

I Tried 20+ Udemy Courses: Here are Top 6 Learn Semantic Kernel and Build LLM Apps with .NET in 2026 Hello guys, Semantic Kernel has quickly become one of the most important frameworks for developers building AI powered and agentic applications with .NET. As companies adopt LLMs, vector search, RAG, and tool-driven agents, developers who understand Semantic Kernel gain a strong advantage in both architecture and implementation. If you want to learn Semantic Kernel from scratch or take your AI engineering skills to the next level, Udemy now offers several practical, project-driven courses that focus on real-world agentic workflows, Azure AI Foundry, OpenAI integrations, vector databases, and modern .NET based AI development. The best part is that Udemy frequently runs major sales, meaning you can often get these courses for around USD 10, making it one of the most affordable ways to skill up in 2026. Below are the top 6 Udemy Semantic Kernel courses worth considering. ## 6 Best Udemy Courses to learn Semantic Kernel in 2026 Without any further ado, here are the top Udemy courses you can join in 2026 to learn Semantic Kernel and build LLM Apps and Agentic AI apps using .NET. I have include project based, video and hands-on courses for both beginners and experienced developers. ### 1. Develop Agentic .NET Applications Using Semantic Kernel Master AI-Powered App Development with Custom Tool Calls, RAG, MCP Integration and Single-Agent Orchestration This course is ideal for developers who already understand .NET and want to build practical, production-focused agentic systems. You learn how to: * Build AI powered agents using Semantic Kernel * Implement tool calling and plugin workflows * Integrate RAG and retrieval patterns * Work with Model Context Protocol (MCP) * Structure a full agent orchestration pipeline in .NET It is one of the most up-to-date Semantic Kernel courses on Udemy and focuses on building applications capable of interacting, reasoning and executing tasks autonomously. Here is the link to join this course — Develop Agentic .NET Applications Using Semantic Kernel ### 2. GenAI for .NET: Build LLM Apps with OpenAI and Ollama Build Chat Apps, Vector Search, VectorDB, RAG and EShop AI Apps While not exclusively about Semantic Kernel, this course is extremely relevant because: * It teaches modern .NET AI development patterns * You build RAG pipelines, vector search, and Ollama powered apps * It integrates Microsoft Extensions AI (MEAI) * You learn patterns that complement SK apps If your goal is to build full-stack AI solutions with .NET, this course is a strong addition. Here is the link to join this course — GenAI for .NET: Build LLM Apps with OpenAI and Ollama ### 3. Understanding Semantic Kernel SDK Empowering Business Applications with AI-Driven Plugins Using the Semantic Kernel SDK This course is great if you need clarity around the Semantic Kernel SDK itself. It covers: * SK architecture and design * How the kernel, plugins, memories and planners work * Using the SDK to extend business applications * Integrating the SDK into existing .NET systems If you want to build maintainable enterprise-grade solutions, this course gives you the theoretical grounding and API knowledge you need. Here is the link to join this course — Understanding Semantic Kernel SDK ### 4. Mastering Semantic Kernel by Creating Projects Learn to harness the potential of Semantic Kernel using OpenAI and Azure OpenAI A project-based course that walks you through: * Creating multiple SK-driven applications * Using embeddings, prompts, and memory stores * Building production-like AI workflows * Integrating Azure OpenAI with .NET You get hands-on experience building real apps, making this a strong course for developers who prefer learning by doing. Here is the link to join this Udemy course — Mastering Semantic Kernel by Creating Projects ### 5. AI Agents: Beginner to Pro — Azure AI Foundry Agent Service Agent Service, Function Calling, Code Interpreter, Bing Search, AI Search, OpenAPI, Logic Apps, Semantic Kernel This is a broader AI agent course, but it includes a dedicated section on Semantic Kernel and how it fits into Azure’s AI ecosystem. You will learn: * Azure AI Foundry’s Agent Service * Multi-tool and multi-modal agent design * Using Bing Search, AI Search and external tools * Integrating Semantic Kernel with Azure Functions and Logic Apps This is a good course for developers focused on Azure-powered AI solutions. Here is the link to join this course — AI Agents: Beginner to Pro — Azure AI Foundry Agent Service ### 5. Agentic AI Development with Azure and Semantic Kernel Build AI agents using Azure, Semantic Kernel and Foundry This course dives deeper into: * Multi-agent orchestration * Tool selection and prioritization * Memory, vectors and embeddings * Planning, role-based agents and autonomous flows It is helpful if you want to understand how Semantic Kernel is used in more advanced autonomous systems. Here is the link to join this Udemy course — Agentic AI Development with Azure and Semantic Kernel ## Why Learn Semantic Kernel in 2026? Semantic Kernel is quickly becoming a standard tool for developers who want to: * Build reliable agentic workflows * Integrate LLMs into .NET apps * Add vector memory, tool calling and plugins * Implement OpenAI, Azure OpenAI or Ollama-based features * Modernize enterprise software with AI assistance Its abstractions reduce complexity while giving developers control over orchestration, prompting, memory and planning. Mastering SK now places you ahead of the curve as AI adoption accelerates. ## Udemy’s Year-Round Sales: Get These Courses for About USD 10 One of the best thing about Udmey is that they run multiple seasonal sales through the year, including: * Year End Sale * New Year sale * Mid-year sale * Back-to-school sale * Black Friday and Cyber Monday discounts During these events, most premium courses drop to around USD 10, making it one of the most cost-effective ways to learn Semantic Kernel. If you plan to take multiple courses, the sale period is the best time to enroll. Here is the link to get discount — Udemy courses with 50% discount ## Final Thoughts Semantic Kernel is shaping the future of .NET based AI applications, from agentic systems to enterprise integrations. The courses listed above offer a combination of: * Hands-on projects * Real-world use cases * Production ready design patterns * Azure and OpenAI integration strategies If you want to build LLM and agentic applications professionally in 2026, mastering Semantic Kernel is one of the highest-impact skills you can add to your toolkit. By the way, if you want to join multiple courses on Udemy then you can also checkout Udemy’s Personal Plan, where you get access to best of Udemy’s 15000+ courses for a monthly fee of $30. If you want to join multiple courses then Udemy Personal Plan is actually a better deal. You can also try for free for 7 days to get a feel of it. So, what are you waiting for? Pick a course, start learning, and join the AI revolution! Happy Learning! * Top 5 Courses to Prepare for AIF-C01 Exam in 2026 * How to Prepare for AWS Solution Architect Exam in 2026 * 6 Courses to learn Model Context Protocol in 2026 * 6 Udemy Courses to learn Agentic AI in 2026 * 6 Udemy Courses to learn AWS Bedrock in 2026 * Top 5 Udemy Courses for AWS Cloud Practitioner Exam in 2026 * 5 Best Courses to learn AWS SageMaker in 2026 * 5 Best Udemy courses to learn Midjourney in 2026 * 5 Best Courses and Projects to Learn AI and ML in 2026 * 5 Projects You can Build to become an AI Engineer * Top 10 Udemy Courses to learn Artificial Intelligence in depth * Top 5 Udemy courses to build AI Agents in 2026 * 7 Best Courses to learn AWS S3 and DynamoDB in 2026 * 10 Best Udemy Courses to learn Artificial Intelligence in 2026 * 8 Udemy courses to learn Prompt Engineering and ChatGPT * 5 Best Udemy Courses to learn Building AI Agents in 2026 * Top 5 Udemy Courses to learn Large Language Model in 2026 Thanks for reading this article so far. If you find these Udemy Courses for learning Semantic Kernel and building LLM Apps with .NET useful then please share with your friends and colleagues. If you have any questions or feedback, then please drop a note. P. S. — If you are a complete beginner on Agentic AI then I also recommend you to first go through a comprehensive course like The Complete Agentic AI Engineering (2026) Course, I highly recommend that to anyone who want to start with Agentic AI. ## 6 Best Udemy Courses to Learn Agentic AI in 2026 ### From Solo Prompts to Intelligent Teams: 6 Agentic AI Courses Every Developer Should Take in 2026 medium.com

I Tried 20+ Udemy Courses: Here are Top 6 Learn Semantic Kernel and Build LLM Apps with .NET in 2026 Hello guys, Semantic Kernel has quickly become one of the most important frameworks for deve...

#.NET #artificial #intelligence #courses #LLM #Semantic #Kernel #Udemy

Origin | Interest | Match

The Problem of Translation & Semantic Dark Matter A BEYOND BORDERS column by David Krakauer, President of the Santa Fe Institute.

“Darwin’s theory of #evolution by #naturalselection plays the role of #semantic #darkmatter in relation to the second law of #thermodynamics, reconciling the local, and perhaps even transiently global, increase in functional order in the face of #entropy increase” open.substack.com/pub/sfiscien...

Как я пытался сжимать смыслы вместо байтов Написал прототип SemanticZip: сжатие текста в 14 раз за счет удаления «...

#LLM #RAG #Claude #Context #Window #Semantic #Compression #Prompt #Engineering #Векторный #поиск

Origin | Interest | Match

Semantic UI Semantic is a development framework that helps create beautiful, responsive layouts using human-friendly HTML.

#ITByte: #Semantic is a development #Framework that helps create beautiful, responsive layouts using human-friendly HTML.

It provides templates for HTML elements with CSS styling that users can deploy for easy interface development.

knowledgezone.co.in/posts/Semant...

Neural activations and representations during episodic versus semantic memory retrieval - Nature Human Behaviour In this Stage 2 Registered Report, Tibon et al. showed using fMRI that neural activity associated with successful memory retrieval did not differ between semantic and episodic memory, using a task wit...

Finally: the fantastic #registeredreport from bsky-less Roni Tibon is out: www.nature.com/articles/s41... showing less difference between #episodic vs. #semantic #memory than one might have thought.

Proud to have contributed a tiny part to this great paper.

Need data? Good luck wading through the sea of results. That’s where semantic search steps in with a smarter, more intuitive way to find exactly what you’re looking for (without needing a PhD in keyword wrangling). taxodiary.com?p=57468 #semantic #search #findability

Streamlining Language Models via Semantic Basis Analysis

Yang Li, Daniel Agyei Asante, Changsheng Zhao, Ernie Chang, Yangyang Shi, Vikas Chandra

Action editor: Quanquan Gu

https://openreview.net/forum?id=qq7NNAXvuv

#streamlining #semantics #semantic

Server Analysis: DevOps, Cooking, Travel & Sci-Fi #shorts Discover how a semantic knowledge graph connects the term 'server' to DevOps, cooking, travel, and sci-fi by analyzing data and identifying semantically similar terms. It's all about data! #semantic #knowledgegraph #DevOps #cooking #travel #scifi

ICYMI: Server Analysis: DevOps, Cooking, Travel & Sci-Fi #shorts: Discover how a semantic knowledge graph connects the term 'server' to DevOps, cooking, travel, and sci-fi by analyzing data and identifying semantically similar terms. It's all about data! #semantic #knowledgegraph #DevOps #cooking…

James Egan: Profiles in Knowledge - Rising Stars Series This is the 123rd article in the Profiles in Knowledge series featuring thought leaders in knowledge management and the fifth in the Rising Stars Series. Rachel Teague suggested this series and conduc...

James Egan: Profiles in Knowledge. 123rd in series on thought leaders in knowledge management. #Ontology and #taxonomy analyst engineering logically consistent #semantic solutions for data management and interoperability. www.linkedin.com/pulse/james-...
#KM #KnowledgeManagement #ThoughtLeaders

Maximally Semantic Structure for a Blog Post Yes, I know the cliché that bloggers are always blogging about blogging! I like semantics. It tickles that part of my delicious meaty brain that longs for structure. Semantics are good for computers and humans. Computers can easily understand the structure of the data, humans can use tools like screen-readers to extract the data they're interested in. In HTML, there are three main ways to …

Maximally Semantic Structure for a Blog Post Yes, I know the cliché that bloggers are always blogging about blogging! I like semantics. It tickles that part of my delicious meaty brain that longs ...

#/etc/ #blogging #HTML #schema.org #semantic #web

Origin | Interest | Match

Server Analysis: DevOps, Cooking, Travel & Sci-Fi #shorts Discover how a semantic knowledge graph connects the term 'server' to DevOps, cooking, travel, and sci-fi by analyzing data and identifying semantically similar terms. It's all about data! #semantic #knowledgegraph #DevOps #cooking #travel #scifi

Server Analysis: DevOps, Cooking, Travel & Sci-Fi #shorts: Discover how a semantic knowledge graph connects the term 'server' to DevOps, cooking, travel, and sci-fi by analyzing data and identifying semantically similar terms. It's all about data! #semantic #knowledgegraph #DevOps #cooking #travel…

2025 SEO: Master Entity Optimization for Visibility In 2025, SEO shifts from keyword focus to entity optimization, leveraging semantic search, AI, and tools like Google's Knowledge Graph for be...

#SEOProNews #Knowledge #Graph #ntity #SEO #Semantic #Search […]

[Original post on webpronews.com]

SQLite AI Revolution: On-Device ML and SQL Vector Search SQLite is undergoing a revolution with AI extensions like SQLite AI, enabling on-device machine learning, vector searches, and model interac...

#AIDeveloper #edge #computing #on-device #AI #Semantic […]

[Original post on webpronews.com]

What Is Microsoft Agent Framework & Why Another Agent Framework? YouTube video by Learn Microsoft AI

youtu.be/RM5LjmqKryA?... #agent #ai #agentframework #microsoft #semantic #kernel #autogen

Started offering #WordPress development about 2015. Recently, I've built two projects in #Gutenberg. WordPress based this on React, and apparently included many of the inherent flaws. Gutenberg makes my efforts to build sites that are #accessible and based on #semantic HTML three times as difficult.

Tara Raafat: human-centered knowledge graph & metadata leader Tara Raafat focuses on people as well as technology as she builds high-performing knowledge graph architectures at Bloomberg.

At Bloomberg, Tara Raafat applies the best #semantic practices and embraces the latest #AI technology to build #knowledgeGraphs, but engaging the right stakeholders and building the right kinds of teams is arguably the key to her success.

knowledgegraphinsights.com/tara-raafat/

Make your AI more sustainable with API Management — AutoSysOps Use Azure API Management to enhance your Microsoft AI Foundry LLM models. By implementing semantic caching your can use an Managed Redis Cache as a vector database to check for similar requests. This ...

This weekend I released a blogpost for the #FestiveTechCalendar about how to use #API Management to make your #AI systems more #Sustainable by using #semantic #caching!

autosysops.com/blog/use-azu...

#CommunityRocks #AzOps #CloudFamily #Azure #Microsoft