How generative artificial intelligence works

Overview

“This lesson explores reasoning models, which have gained importance by allowing language models to think before responding. It analyzes Google's AI model Gemini 2.5 Pro, which enhances response quality through intermediate reasoning, and compares it with OpenAI's O3 model. Additionally, it discusses the limitations of AI models in complex logical operations and the importance of using reasoning-capable models for more accurate and contextualized responses.”

In this video lesson Víctor Mollá addresses the topic: Operation of reasoning models, which is part of the Domestika online course: How generative artificial intelligence works. Discover from the hand of Víctor Mollá the secrets of generative AI and learn to use chatgpt to enhance your creative and professional work..

Partial transcription of the video

“We arrive at a significant development that has surfaced or been acquired in recent years: reasoning You might have heard about them recently. Over the past year. it's evident that all models have evolved into Over the past year. it has become apparent that all models have transformed into reasoning models. Every model now possesses the capability to think independently. In the upcoming lesson. we'll delve deeply into prompting techniques. This topic has been integral LLMs' inception. and we've extensively utilized such tools. We will explore how these techniques have been pivotal in enhanc...”

This transcript is automatically generated, so it may contain mistakes.

Course summary for: How generative artificial intelligence works

• Level: Beginner
• 100% positive reviews (20)
• 1587 students
• 1 unit
• 10 lessons (1h 40m)

• Category

  Artificial Intelligence, Marketing & Business

• Areas

  AI Content Creation, Artificial Intelligence, ChatGPT, Custom Model Training, LLMs & Intelligent Assistants, Text & Storytelling with AI, Workflow Automation