Multi-Model Inference with Baseten Chains
July 18th, 11 a.m. - 12 p.m. PT
Join us for a live webinar to learn about how Baseten Chains can upgrade your multi-model inference workflows. In this session, we will dive deep into what Baseten Chains is, the vision behind its creation, its underlying mechanics, and how you can use it to enhance your AI products.
What You'll Learn:
Introduction to Baseten Chains: Understand the core features and capabilities that set Baseten Chains apart in the AI landscape.
The Why Behind Baseten Chains: Discover the motivations driving the development of Baseten Chains, and how it addresses key challenges in AI deployment.
How Baseten Chains Works: Gain insights into the architecture and technology stack powering Baseten Chains, and how you can get started today.
Best Practices and Use Cases: Explore practical examples and best practices to maximize the impact of Baseten Chains on your AI initiatives.
Don't miss this opportunity to learn directly from the team behind Chains and get all your questions answered. Register now to secure your spot!
Host
Speakers
Comparing tokens per second across LLMs
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AI events, multicluster model serving architecture, tokenizer efficiency, and forward-deployed engineering
Comparing few-step image generation models
Few-step image generation models like LCMs, SDXL Turbo, and SDXL Lightning can generate images fast, but there's a tradeoff when it comes to speed vs quality.
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Baseten Chains Explained: Building Multi-Component AI Workflows at Scale
A Delightful Developer Experience for Building and Deploying Compound ML Inference Workflows
Introducing Baseten Chains
Learn about Baseten's new Chains framework for deploying complex ML inference workflows across compound AI systems using multiple models and components
Multi-Model Inference with Baseten Chains
Join to learn how you can orchestrate inference across multiple models and machines using Baseten Chains
Comparing few-step image generation models
Few-step image generation models like LCMs, SDXL Turbo, and SDXL Lightning can generate images fast, but there's a tradeoff when it comes to speed vs quality.
How latent consistency models work
Latent Consistency Models (LCMs) improve on generative AI methods to produce high-quality images in just 2-4 steps, taking less than a second for inference.
