Building Decision Agents with LLMs & Machine Learning Models
Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdehaJ Learn more about Types of AI agents here → https://ibm.biz/BdehaA 🤖 How do decision agents complement LLMs in automation? Blue Polaris Executive Partner, James Taylor, explores designing decision agents with DMN, LLMs, and machine learning models to create transparent, efficient systems. Discover how these technologies enable scalable decision-making in AI frameworks. 🚀 Explore more about building decision agents → https://ibm.biz/BdbkM8 #llm #machinelearningmodels #automation

▶︎
Andrej Karpathy: Software Is Changing (Again)

▶︎
How We Build Effective Agents: Barry Zhang, Anthropic

▶︎
Designing AI Decision Agents with DMN, Machine Learning & Analytics

▶︎
How AI Agents and Decision Agents Combine Rules & ML in Automation

▶︎
Snowflake CLI: Give Your AI Coding Agent Superpowers

▶︎
Don't learn AI Agents without Learning these Fundamentals

▶︎
Decision Intelligence, AI's Next Phase. Everything You Need To Know.

▶︎
Does LLM Size Matter? How Many Billions of Parameters do you REALLY Need?

▶︎
The Strange Math That Predicts (Almost) Anything

▶︎
The 7 Skills You Need to Build AI Agents

▶︎
Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

▶︎
What are AI Agents?

▶︎
Transformers, the tech behind LLMs | Deep Learning Chapter 5

▶︎
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

▶︎
Preparing IT for AI Agents: How MCP Shapes the Future of AI

▶︎
RAG vs. CAG: Solving Knowledge Gaps in AI Models

▶︎
OWASP's Top 10 Ways to Attack LLMs: AI Vulnerabilities Exposed

▶︎
What AI Agent Skills Are and How They Work

▶︎
AI Agents 1(a) - What are AI Agents, and why do they matter?

▶︎
