multimodal ai

What is MultiModal in AI?

Becoming Human: Artificial Intelligence Magazine

pixabay.com The multimodal model is an important concept in the field of artificial intelligence that refers to the integration of multiple modes of information or sensory data to facilitate human-lik...

Multimodal AI: The New Era of AI that Understands Text, Images, Audio, and More

Towards AI

Table of Contents · Introduction · What Is Multimodal AI · Architectural Approaches: Unified vs Cross-Attention Models · Key Components of Multimodal Models · Vision and Image Encoders · CLIP and Visi...

I Built a Multimodal AI — It Broke Me Twice

Towards AI

I Built a Multimodal AI — It Broke Me Twice Why “perfect” multimodal systems are a lie — and the practical playbook I use to survive them Image Source : Google Gemini TL;DR — We launched a multimodal...

What are Multimodal models?

Towards Data Science

Who is this post for? Reader Audience [🟢⚪️⚪️]: AI beginners, familiar with popular concepts, models and their applications Level [🟢🟢️⚪️]: Intermediate topic Complexity [🟢⚪️⚪️]: Easy to digest, no ...

Seeing is Believing: Building a Multimodal AI Agent in Python

Towards AI

The era of text-only AI is over. We are rapidly entering the age of Multimodal AI — systems that can understand and generate content… Continue reading on Towards AI

8 Powerful Ways to Build a Multimodal AI System That Understands Images and Text

Python in Plain English

One of the most game-changing experiences I’ve had in AI development was the moment I combined vision and language into a single system. It felt like handing a computer a pair of eyes and a brain — an...

Multimodal RAG: Process Any File Type with AI

Towards Data Science

A beginner-friendly guide with example (Python) code This is the third article in a larger series on multimodal AI. In the previous posts, we discussed multimodal LLMs and embedding models, respectiv...

How Multimodal AI is Bringing Human-Like Understanding to Machines

The Pythoneers

Artificial intelligence is no longer confined to processing single streams of data. In today’s rapidly evolving tech landscape, multimodal… Continue reading on The Pythoneers

Image Inference through Multi-Modal LLM Models

Towards AI

T he emergence of multimodal AI has significantly transformed the landscape of data wrangling. In the past, we relied heavily on text extraction libraries like PyTesseract for tasks such as optical ch...

AI Telephone — A Battle of Multimodal Models

Towards Data Science

AI Telephone — A Battle of Multimodal Models DALL-E2, Stable Diffusion, BLIP, and more! Artistic rendering of a game of AI Telephone. Image generated by the author using DALL-E2. Generative AI is on ...

Understanding Multimodal LLMs: The Next Evolution of AI

Towards AI

Discover how multimodal LLMs are transforming AI by combining text, images, audio, and video into a single reasoning system. Learn how they work, real-world applications, challenges, and why they’re t...

7 Powerful Reasons Why Building a Multimodal AI Agent in Python Feels Like Magic

Python in Plain English

Discover how I created a free, smart AI assistant that sees, hears, and speaks — using only Python and open-source tools in one weekend. Introduction: Why Multimodal AI Is the Future In the last year,...