LLMs, RAG, and Fine-Tuning: A Hands-On Guided Tour
A hands-on guided tour to LLMs, prompt engineering, retrieval-augmented generation, and building ML systems in the Metaflow Sandbox.
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.