Team IT Security (TSEC) Nachrichtenportal Logo

🔧 Getting Started: Build a Model Context Protocol Server


Nachrichtenbereich: 🔧 Programmierung
🔗 Quelle: dev.to

Streamlining LLM Integration: Building a JavaScript MCP Server for Hacker News

Integrating LLMs into real products still feels messier than it should be. Instead of clean patterns or shared... [Weiterlesen]

Sharing is caring on Social Media

Reddit
Telegram
LinkedIn
Xing
Twitter
Whatsapp
Facebook
Flipboard

📰 Windows 11 Insider Previews: What’s in the latest build?


📈 605.77 Punkte
📰 IT Nachrichten

🔧 The Intelligence Stack: Engineering Production-Grade Agentic AI Systems


📈 487.7 Punkte
🔧 Programmierung

🔧 Practical Gemma 4 Benchmarking with LM Studio


📈 439.79 Punkte
🔧 Programmierung

🔧 How I Reverse Engineered a Popular AI Extension


📈 370.45 Punkte
🔧 Programmierung

🔧 From Chatbots to Personal AI Agents: The Infrastructure Developers Actually Need


📈 284.96 Punkte
🔧 Programmierung

🔧 Inside Chrome's / Edge's silent 4GB AI install: a complete hands-on investigation


📈 273.47 Punkte
🔧 Programmierung

🔧 AWS re:Invent 2025 - Customize & scale foundation models using Amazon SageMaker AI (AIM363)


📈 258.04 Punkte
🔧 Programmierung

🔧 How Stolen AI Models Can Compromise Your Entire Organization


📈 235.5 Punkte
🔧 Programmierung

🔧 Parametric Hubris: Empirical Evidence That Tool Availability Does Not Equal Tool Usage in Frontier Language Models


📈 222.21 Punkte
🔧 Programmierung

🔧 Agent Base Definition: Why It Is Not a Prompt


📈 209.49 Punkte
🔧 Programmierung

🔧 AWS re:Invent 2025 - What Anthropic Learned Building AI Agents in 2025 (AIM277)


📈 207.96 Punkte
🔧 Programmierung

🔧 The Direction of AI in 2026: Performance, Cost, and the End of One Model for Everything


📈 205.67 Punkte
🔧 Programmierung

🔧 Weekend Project: I Built a Full MLOps Pipeline for a Credit Scoring Model (And You Can Too)


📈 203.97 Punkte
🔧 Programmierung

🔧 AWS re:Invent 2025 - Keynote with Dr. Swami Sivasubramanian


📈 194.57 Punkte
🔧 Programmierung

🔧 Agent Composition Model: Model, Loop, Tools, State


📈 192.09 Punkte
🔧 Programmierung

🔧 Serving LLMs at Scale with KitOps, Kubeflow, and KServe


📈 186.33 Punkte
🔧 Programmierung

🔧 Comparing Today's Multi-Model Databases


📈 183.25 Punkte
🔧 Programmierung

🔧 Azure DevOps Pipelines: Complete CI/CD Guide (2026)


📈 181.9 Punkte
🔧 Programmierung

🔧 AWS re:Invent 2025 - Master AI model development with Amazon SageMaker AI (AIM272)


📈 181.59 Punkte
🔧 Programmierung

🔧 10 Tough AWS AIF-C01 Free Practice Questions (Scenario-Based)


📈 181.27 Punkte
🔧 Programmierung

🔧 The Essence of DDD: The Practice Guide from Philosophy to Mathematics to Engineering


📈 180.49 Punkte
🔧 Programmierung

🔧 AWS Certified Generative AI Developer Professional AIP-C01: Study Reference


📈 179.88 Punkte
🔧 Programmierung

🔧 AWS re:Invent 2025 - Mastering model choice: The 3-step Amazon Bedrock advantage (AIM391)


📈 178.28 Punkte
🔧 Programmierung

🔧 "Your Data Is Talking. . . Is Power BI Listening?"


📈 178.04 Punkte
🔧 Programmierung

🔧 A Privacy LLM Inference Engine That Runs on $10 Hardware


📈 174.59 Punkte
🔧 Programmierung

📰 Microsoft 365: A guide to the updates


📈 172.36 Punkte
📰 IT Nachrichten

🔧 How to Train Custom Language Models: Fine-Tuning vs Training From Scratch (2026)


📈 172.29 Punkte
🔧 Programmierung

🔧 Harness Base Definition: The Control System Outside the Model


📈 170.12 Punkte
🔧 Programmierung

🔧 Scalable ML Training on AWS: SageMaker, Spot Instances and Experiment Tracking


📈 167.08 Punkte
🔧 Programmierung

🔧 Agent Tools


📈 166.39 Punkte
🔧 Programmierung

🔧 Monitoring an ML-Based Intrusion Detection System on AWS SageMaker


📈 165.6 Punkte
🔧 Programmierung

🔧 AWS re:Invent 2025 - Customize models for agentic AI at scale with SageMaker AI and Bedrock (AIM381)


📈 164.65 Punkte
🔧 Programmierung

🔧 AWS re:Invent 2025 - Keynote with CEO Matt Garman


📈 164.59 Punkte
🔧 Programmierung

🔧 AWS re:Invent 2025 - Keynote with CEO Matt Garman


📈 164.29 Punkte
🔧 Programmierung

🔧 Model Theft: How Attackers Steal Your Fine-Tuned AI Models Through API Extraction


📈 163.8 Punkte
🔧 Programmierung