World Congress 2022 Jun 15, 2022

DALL·E Flow: when neural search meets generative art

Han Xiao

Moving AI from experimental scripts to production-ready applications demands robust DevOps. Explore how DALL-E Flow leverages neural search and microservices to scale generative art seamlessly.

Pause
Mute Enter Fullscreen
#1 about 3 min

Exploring text prompts to generate artwork dynamically

Providing a text prompt to an AI program allows users to instantly generate entirely unique art assets.

#2 about 6 min

Building neural search applications across diverse data modalities

Implementing neural search capabilities enables fetching related content across fuzzy text, static e-commerce images, and 3D meshes.

#3 about 2 min

Utilizing deep learning for unstructured data retrieval

Neural search explores vector relationships between different unstructured data modalities to bring advanced retrieval systems into practical production environments.

#4 about 3 min

Identifying foundational machine learning technologies powering DALL-E

Understanding generative models requires tracking the architectural evolution of BERT, VQGAN, CLIP, and diffusion priors.

#5 about 3 min

Applying diffusion models for image upscaling and refinement

Diffusion architectures utilize Markov chains to systematically reconstruct high-quality visual details from added gaussian noise.

#6 about 2 min

Unifying neural search and generative model contexts

Both technologies operate under cross-modal boundaries by either matching against existing data sets or computing new contextual content.

#7 about 4 min

Structuring scalable cross-modal applications with Jina abstractions

Leveraging document, executor, and flow layers inside framework ecosystems simplifies building and orchestrating highly scalable machine learning microservices.

#8 about 3 min

Managing complex dependencies through cloud native orchestration

Containerizing deep learning logic removes local environment conflicts and establishes necessary observability pipelines for rapid production deployments.

#9 about 2 min

Orchestrating generative configurations using standardized YAML files

Defining logical executors through declarative YAML layouts quickly connects AI models into cohesive, docker-compatible inference runtimes.

#10 about 3 min

Iterating visual prototypes through a Google Colab pipeline

Generating text-to-image candidates and re-ranking them natively with CLIP guarantees higher accuracy before moving tasks to diffusion upscaling.

#11 about 3 min

Migrating from symbolic search layers to neural retrieval

Adopting neural frameworks unblocks complex cross-modal workflows that traditional term-frequency indexing engines fundamentally cannot support.

Matching moments

1:37 min

Exploring common use cases for modern generative AI

Sandra Ahlgrimm Sandra Ahlgrimm +1 · WWC 2024

2:31 min

Integrating generative AI into cloud-native applications

Cedric Clyburn Cedric Clyburn · WWC 2024

3:00 min

Introduction to generative AI and vector search

Mary Grygleski Mary Grygleski · LIVE

3:36 min

Overview of generative AI and the presentation agenda

juarezjunior juarezjunior · WWC 2024

5:05 min

Exploring popular generative AI models and applications

Mary Grygleski Mary Grygleski · LIVE

3:47 min

Examples of generative AI applications in media and code

Cheuk Ho · WWC 2023

Upcoming sessions on this topic

Open session

World Congress 2026 North America

Building Stuff with GenAI - The Open Minded Workshop beyond OpenAI

Andreas Erben

CTO for Applied AI and Metaverse at daenet

Andreas Erben
Open session

World Congress 2026 North America

Engineering the Pivot: How Creative Strategy Solves the Hard Problems of AI Accuracy and Scale

Shruti Tiwari

AI/ML product manager, Dell

Shruti Tiwari
Open session

World Congress 2026 North America

Making Science Larger, not just Faster

Yuval Dvir

Commercial Executive, SandboxAQ

Yuval Dvir
Open session

World Congress 2026 North America

DeepAgents: Build Multi-Agent AI Systems That Actually Work

Anagha Rumade, Anjana Umapathy, Apoorva Jaiswal

Anagha Rumade
Anjana Umapathy
Apoorva Jaiswal
Open session

World Congress 2026 North America

Look What Java Can Do Now: Live-Coding a GenAI MCP Server with the JAQ Stack

Suren Konathala

Senior Engineering Leader, Marketing & AdTech, AI GTM & Digital Experience Platforms, Java x AI

Suren Konathala
Open session

World Congress 2026 North America

No Single Model to Rule Them All: Building Resilient AI Agents Across Open & Closed LLMs

Emmanuel Acheampong

Senior Manager Developer Relations at Crusoe AI

Emmanuel Acheampong