his IBM Technology series offers a detailed exploration of modern AI concepts and tools, designed for professionals, researchers, and tech enthusiasts. The series covers a range of topics including AI agent communication, NeuroSymbolic AI, multimodal retrieval-augmented generation (RAG), prompt caching, and the differences between AI agents and large language models (LLMs).
The first session, A2A vs MCP: AI Agent Communication Explained, introduces how AI agents interact and communicate efficiently in complex systems. Next, What Is NeuroSymbolic AI? explores the combination of neural networks with symbolic reasoning to enhance AI decision-making and reasoning capabilities. Multimodal RAG explains how vector databases unlock the potential of LLMs for retrieving and integrating diverse types of information.
Further sessions cover optimization strategies for LLMs, such as Prompt Caching, which reduces latency and improves performance. Finally, AI Agents vs. LLMs guides learners on selecting the right AI tool for different tasks, highlighting strengths and limitations.
By the end of this series, participants will understand cutting-edge AI concepts, practical applications, and strategies to leverage AI effectively in real-world scenarios. The series is ideal for engineers, AI enthusiasts, and professionals seeking advanced knowledge of AI technologies.
