#Model Context Protocol Hackathon

MATLAB + Agentic AI: The Workflow That Actually Works New to agentic coding with #MATLAB? Check out this video and learn the best practice https://spr.ly/6179hua3l

LLMs don’t directly access your database or file system. In real-world AI systems, there must be a structured and secure execution layer between the model and infrastructure. That’s where Model Context Protocol (MCP) comes in. In this breakdown, we explore: How LLM Agents interpret user intent Why MCP standardizes tool invocation How execution servers isolate file, database, and API operations Why separation of reasoning and execution is critical for enterprise AI Without MCP, you have prompts. With MCP, you have architecture. At DataStreak, we build AI systems — not just chatbots. #llmarchitecture #aiengineering #systemdesign #generativeai #datastreakofficial

Calculate your LLM costs in a flash with LLM token costs!!! [Artificial Intelligence, AI, LLM costs, API costs]

TPM = Tokens Per Minute TPM is the maximum number of tokens your AI model can process per minute. Why it matters: Long prompts + long responses consume more tokens and can hit TPM limits. Example: Your chatbot feels fast for short questions, but slows down when users paste long emails or documents. PM takeaway: AI performance is often a token limit problem, not a model problem. #artificialintelligence

See how AI transforms complex chart data into executable code. LumiBot's 'AddLine' and 'AddMarker' methods generate indicators alongside your strategies, visualizing insights like never before. #AICoding #DataVisualization #TradingBots #Fintech

Oversimplified, overview on AI or LLM's. #machinelearning #ai

if you build with LLMs, do you know what's actually happening under the hood when you hit send? (hint: it's not generating anything) #ai #llm #fyp

Just do pip install llm-tokencost and you are good to go! Real-time cost tracking during LLM calls Budget alerts via callback and/or exception Async support for litellm.acompletion() Per-model cost aggregation via cost_by_model property Automatic exit summary — prints cost report when program ends Thread-safe for concurrent usage Uses litellm's pricing data for accurate costs (1600+ models) [Python Library, LLM Costs, LLM API, AI costs]

Every new AI tool needs a fresh integration? That’s MADNESS in 2026. Right now, every app connects to every tool in its own custom way. It’s like having a different charger for every phone in your house. Total chaos. MCP fixes this by acting like a single USB‑C port for AI apps. One standard way for your LLM to talk to databases, APIs, files, whatever you plug in. Without a standard, your agent stack becomes unmaintainable the moment you add more than a few tools. As an example, imagine you build 10 custom integrations for 10 different tools. Next month, 3 of them change their APIs. You’re rewriting glue code again. With MCP, tools expose a standard server, and your AI host just talks MCP once. Want more simple breakdowns of complex AI concepts like this? Follow and save this video so you never forget MCP = USB‑C for AI. #ModelContextProtocol #AIExplained #DevTools

🚀 Save Big on LLM Prompts | Fit More Context for Less! 💸🤖 LLM costs going 📈 while results stay 😐? You’re probably wasting tokens without even realizing it. CHEAP vs EXPENSIVE LLM Prompts Which One REALLY Works BEST. In this video, we break down how to pack MORE context into FEWER tokens—so your AI stays sharp 🧠 while your costs stay low 💰. https://youtube.com/shorts/tY1TL_pYU2A ✨ What you’ll learn: 🔍 Why token waste is silently draining your budget 🧩 How smart prompt structure beats long prompts 📦 Proven context-packing strategies for LLMs 🛠️ Practical tips used by real dev & product teams 📊 How to scale AI features without scaling spend No theory. No fluff. Just real-world prompt optimization for builders shipping LLM-powered products 🚢 If you’re working with chatbots 💬, copilots 🧑‍💻, SaaS AI features ⚙️, or internal tools—this one’s for you. 👉 Watch till the end for quick wins you can apply today ⚡ #llmprompts #promptengineering #aioptimization #genai #llmcost #aifordevelopers #devlife #saasengineering #buildinpublic #feedshort #freeaitools #shortshorts #shortsfeed #shortsvideo #shortvideoviral #aistartup #techreels #aibuilders #indiehackers

MCP - Model Context Protocol: The Biggest AI Breakthrough. The era of just "chatting" with AI is ending. Welcome to the age of AI agents that actually DO things. Check out the full tutorial for details: https://www.youtube.com/watch?v=7RawUa83JtQ&list=PLMbGQrGl-0EtSRF42cte0iGiiz7P60xHn&index=2 #data #dataanalytics #datafam #tableau #MCP #AgenticAI #Anthropic #Claude #AI #Openai #Analytics

MATLAB + Agentic AI: The Workflow That Actually Works New to agentic coding with #MATLAB? Check out this video and learn the best practice ➡️ https://spr.ly/61105h8MC1