Five Building Blocks for Gen AI
?? Make the Most of Your Holiday Season with Gen AI Learnings ??
If you’re looking to invest some spare time during the holidays into generative AI (Gen AI), this post is for you! By understanding just five key building blocks, you can grasp 80% of what Gen AI is all about. Let’s break it down:
1. AI Agents
AI agents are autonomous systems designed to perform tasks, make decisions, and interact with their environment. They sense, reason, and act to achieve specific goals, often with minimal human intervention. ??? Watch this: How I Made AI Assistants Do My Work For Me: CrewAI
2. Multimodality
This refers to an AI system's ability to process and integrate multiple types of data (text, images, audio, video, etc.). Think of systems that can analyze an image and understand the corresponding text or speech. ??? Watch this: GPT-4o, AI Overviews and Our Multimodal Future
3. RAG (Retrieval-Augmented Generation)
RAG combines retrieval-based systems with generative models to produce highly relevant and grounded outputs. It’s a smart way to use AI for context-aware tasks. ??? Watch this: What is RAG? (Retrieval-Augmented Generation)
4. Fine-Tuning
Fine-tuning takes a pre-trained model and adapts it to a specific task or domain using additional data. It’s how AI becomes specialized for certain applications. ??? Watch this: Intro to Large Language Models (1-Hour Talk)
5. AI Prompt Engineering
Prompt engineering is the art of crafting precise and effective inputs to guide AI models toward desired outputs. It’s a quick and powerful way to achieve impressive results without additional training. ??? Watch this: AI Prompt Engineering: A Deep Dive
Wishing you all Happy Holidays and an Exciting 2025 !!
Energy Consultant | Aspiring AI Generalist | Prompt Engineer | Advancing AI Solutions in Oil, Gas, and Renewables
3 个月AI Agents are like smart digital teammates that solve problems independently. Add RAG, and they get a supercharged research library. Chain of Thought prompting makes them explain their reasoning step-by-step, turning AI from a black box into a transparent, intelligent collaborator. Thanks Jeff Roy for the great read and videos complimenting the article. ??