11 posts tagged with "LLM"

With Outerbounds-certified professional services, you can now implement ML/AI solutions on Outerbounds quickly and efficiently, requiring minimal internal resources or expertise.

Outerbounds integrates now with NVIDIA NIM microservices, so you can start building with performant, cost-effective GenAI models, deployed in your own environment.

You can now apply to access cloud GPUs directly in NVIDIA's DGX Cloud through Outerbounds - just add @nvidia to access GPUs at scale!

A hands-on guided tour to LLMs, prompt engineering, retrieval-augmented generation, and building ML systems in the Metaflow Sandbox.

Reactive, configurable, cheaper LLM fine-tuning with Metaflow

Learn how to use Retrieval Augmented Generation to control hallucinations and get more relevant responses from LLMs.

A workflow template built with Metaflow for fine-tuning LLMs for custom use cases.

An overview of instruction tuning for large language models using the LLaMA family of models.

An interview with Federico Bianchi, a postdoctoral NLP researcher at Stanford exploring the boundaries of large language models.

We use Metaflow to train Dolly, to show an example of fine-tuning LLMs and what it takes to use these models in practice.

A peek into how Outerbounds views the ongoing evolution of the machine learning stack, in the wake of recent LLM waves.