Lead Developer Advocate

Philip Kiely

Glossary

Building high-performance compound AI applications with MongoDB Atlas and Baseten

Using MongoDB Atlas and Baseten’s Chains framework for compound AI, you can build high-performance compound AI systems.

Model performance

How to build function calling and JSON mode for open-source and fine-tuned LLMs

Use a state machine to generate token masks for logit biasing to enable function calling and structured output at the model server level.

News

Introducing function calling and structured output for open-source and fine-tuned LLMs

Add function calling and structured output capabilities to any open-source or fine-tuned large language model supported by TensorRT-LLM automatically.

ML models

The best open-source image generation model

Explore the strengths and weaknesses of state-of-the-art image generation models like FLUX.1, Stable Diffusion 3, SDXL Lightning, and Playground 2.5.

Model performance

How to double tokens per second for Llama 3 with Medusa

We observe up to a 122% increase in tokens per second for Llama 3 after training custom Medusa heads and running the updated model with TensorRT-LLM

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Community

SPC hackathon winners build with Llama 3.1 on Baseten

SPC hackathon winner TestNinja and finalist VibeCheck used Baseten to power apps for test generation and mood board creation.

News

Introducing automatic LLM optimization with TensorRT-LLM Engine Builder

The TensorRT-LLM Engine Builder empowers developers to deploy extremely efficient and performant inference servers for open source and fine-tuned LLMs.

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Community

Ten reasons to join Baseten

Baseten is a Series B startup building infrastructure for AI. We're actively hiring for many roles — here are ten reasons to join the Baseten team.

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Machine learning infrastructure that just works

Baseten provides all the infrastructure you need to deploy and serve ML models performantly, scalable, and cost-efficiently.