O'Reilly Media

MARCH 25, 2025

Lets be real: building LLM applications today feels like purgatory. The truth is, we’re in the earliest days of understanding how to build robust LLM applications. What makes LLM applications so different? Two big things: They bring the messiness of the real world into your system through unstructured data.

LLM 69

LLM Software Development Prompt Engineer Prompt Engineering 69

The MLOps Blog

MARCH 12, 2024

TL;DR LLMOps involves managing the entire lifecycle of Large Language Models (LLMs), including data and prompt management, model fine-tuning and evaluation, pipeline orchestration, and LLM deployment. Data and workflow orchestration: Ensuring efficient data pipeline management and scalable workflows for LLM performance.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models LLM 52

The MLOps Blog

JUNE 27, 2023

W&B (Weights & Biases) W&B is a machine learning platform for your data science teams to track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results, spot regressions, and share findings with colleagues. Detect data drift. Identify issues with data quality.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Topbots

JUNE 29, 2023

While you will absolutely need to go for this approach if you want to use Text2SQL on many different databases, keep in mind that it requires considerable prompt engineering effort. Query validation and improvement To constrain the LLM output, we can introduce additional mechanisms for validating and improving the query.

Algorithm 52

Algorithm Auto-complete Data Scientist Auto-classification 52