Towards Data Science

How to Fine-Tune an LLM: An End-to-End Guide

The article "How to Fine-Tune an LLM: An End-to-End Guide" offers a practical, hands‑on walkthrough for fine‑tuning large language models in real‑world scenarios. It covers the entire process from data preparation to deployment, providing readers with actionable steps to adapt LLMs to specific tasks. The guide is aimed at practitioners looking to implement fine‑tuning in a structured, end‑to‑end manner.

Towards Data Science
Jul 24

Loop Engineering for RAG Generation: An LLM Cascade from a Cheap Local Model Up to a Hosted Flagship

Enterprise Document Intelligence [Vol. 1 #8quater] - Two angles on the cascade, cost and a validation loop, backed by a real sweep of twenty local models against a hosted flagship The post Loop Engineering for RAG Generation: An LLM Cascade from a Cheap Local Model Up to a Hosted Flagship appeared first on Towards Data Science .

By Kezhan Shi
Towards Data Science
1d ago

How to Effectively Align Your Intent with Claude Code

The article titled "How to Effectively Align Your Intent with Claude Code" discusses strategies for improving proficiency with Claude Code. It offers guidance on how to align your intentions with the code to achieve better results. The post was originally published on Towards Data Science.

By Eivind Kjosbakken