WhatsApp AI Agent Tutorial 5: Ava Learns to See | VLM (Llama 3.2 Vision) and text-to-image (FLUX)

Name: WhatsApp AI Agent Tutorial 5: Ava Learns to See | VLM (Llama 3.2 Vision) and text-to-image (FLUX)
Uploaded: 2025-03-05T00:00:00.000Z
Description: In this fifth tutorial, we upgrade Ava’s multimodal abilities by adding vision and image generation. First, we explore Vision Language Models (VLMs) — specifically Llama 3.2 Vision

In this fifth tutorial, we upgrade Ava’s multimodal abilities by adding vision and image generation. First, we explore Vision Language Models (VLMs) — specifically Llama 3.2 Vision on Groq — so Ava can interpret images and produce descriptive text. Then, we dive into text-to-image workflows using FLUX schnell from Together.ai, enabling Ava to generate images on the fly. You’ll see an image diagram illustrating how everything ties together, followed by a code overview explaining each step in Ava’s pipeline. Finally, we wrap up with an overview of Together.ai to show how easy it is to plug in advanced image models. By the end, you’ll know how to integrate both image understanding and image creation into your WhatsApp AI agent, making Ava truly see and create in real time! Links: • Miguel’s Newsletter: https://theneuralmaze.substack.com • Project GitHub: https://github.com/neural-maze/ai-com... • Understanding Multimodal LLMs (Sebastian Raschka): https://sebastianraschka.com/blog/202... • Text-to-Image Model Comparison: https://artificialanalysis.ai/text-to... • Together.ai Platform: https://www.together.ai Chapters: 00:00 Intro 01:22 Image Diagram 02:15 VLM Explanation 07:57 MLLMs vs VLMs 08:53 MLLMs Review 11:06 Text-to-Image Review 14:00 Together.ai Overview 16:54 Code Overview #aiagents #whatsappagent #multimodal #vision #groq #llama #togetherai #texttoimage #multimodalai #aiagent #python #llm

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