Flavius Burbulea’s Post

"It’s the practice of shaping your digital content so that AI-search and AI powered “answer engines” and large language models (LLMs) can easily recognize it, pull from it, and cite it when generating answers." http://vgiseo.com/1e38a5o #GenerativeEngineOptimization #AISEO #LargeLanguageModels #StrongSiteFundamentals #VertiGroupInternational #NegativeClientReviews #CustomGeoSeoAudits #KeyGeoSeoStrategies

Getting lost in all the ThoughtSpot AI features and what Spotter can actually do?Here’s your quick cheat sheet. A simple mind map breaking down Spotter’s AI powers - from natural language queries to context-aware, conversational insights. 🗺️ Save it. Share it. Use it. #thoughtspot #7dxperts #spotter

Learn more about Content Management with the Term of the Week: Small language model A small language model (SLM) is a lighter, more focused type of AI language model. It's typically trained on smaller or more specialized datasets and has fewer parameters than an LLM. While it may not match the scale or flexibility of its larger cousin, an SLM is often easier to deploy and more efficient to run, especially when tailored for domain-specific tasks. Continue reading: https://hubs.ly/Q03G97Vy0 #SLM #SmallLanguageModel #AI #ContentManagement

How do you translate content for a dozen different languages without your engineers worrying about the cost? Hint: It's not magic, it's built-in AI. ✨ Use the client-side Translator and Language Detector APIs in Chrome. They're powerful, private, and the inference is free. Problem solved → https://goo.gle/4pbiFc2

Sometimes, the simplest analogies speak volumes. 💡 Large Language Models (LLMs) are like salt: you can't eat it alone, but it can create wonders when added to the right recipe. On their own, LLMs might not satisfy every need. But when blended thoughtfully with human expertise, business insight, or great data—they can elevate outcomes in ways we never imagined. #AI #LLM #ArtificialIntelligence #TechWisdom #Analogy

Do you know how Voice AI works? Here is the simple breakdown: 📞 Step 1: The AI picks up your call and listens to what you say. 📝 Step 2: A Speech-to-Text (STT) model converts your voice into text. 🧠 Step 3: A Large Language Model (LLM) (like GPT) reads the text, understands it, and takes action — maybe calling an API or checking docs. 💬 Step 4: The LLM creates a text response. 🔊 Step 5: A Text-to-Speech (TTS) model turns that response back into natural-sounding speech and talks to you. ⚡️ All of this happens in seconds — turning your voice into action, and action back into voice. 🤖 #voiceai

A Large Language Model (LLM), like GPT, is designed to understand and generate human-like language. It’s the reason your chatbot sounds natural, your AI tools write clearly, and your apps can now converse. LLMs aren’t full agents, they don’t take action on their own. But they’re a vital piece of the AI puzzle. #Codefoundr #TechInsight #AIpowered #TechSolutions #FutureOfSoftware #InnovationAtSpeed #AIforBusiness #TechExcellence

The gap between the companies using AI for translation and those that aren’t is only getting wider. With unprecedented volumes of multilingual content at their fingertips, AI adopters are scaling into new global markets faster and easier than ever before. We don't want you to fall behind... So we made a guide about how to navigate the shift toward AI translation. 📖 Find your copy here: https://bit.ly/4498yMo

🤖📝 Spotting #AI text on social media Researchers at Kempelen Institute of Intelligent Technologies have built MultiSocial – a dataset of 470,000 posts in 22 languages across 5 social media platforms combining human-written posts with content generated by 7 multilingual large language models (LLMs). It helps test how well tools can tell if a message was written by a human or by AI. 💡 The results? Fine-tuned models work best, and even smaller ones can beat bigger models when trained properly. MultiSocial is a step toward better, multilingual defences against online #disinformation. 🔗 Check it out: https://lnkd.in/dXHQic5C

Why JSON Prompting is Changing the Way We Use LLMs When interacting with Large Language Models (LLMs), free-form text and long paragraphs often lead to: 1️⃣ Unclear instructions 2️⃣ Missing context 3️⃣ Formatting issues That’s where JSON prompting comes in. Instead of messy free-form text, it provides structured, machine-readable data making prompts more precise, consistent, and easier to process. 💡 While it may lose some conversational flow, the accuracy and clarity it delivers is a game-changer. This approach is transforming how we design prompts, bridging the gap between human-readable and AI-friendly instructions. #AI #MachineLearning #LLMs #PromptEngineering #ArtificialIntelligence