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What to Expect From LLM Customization Services
LLM Customization services help organizations adapt language-model applications to specific business tasks, knowledge sources, terminology, workflows, and security requirements. The work can include prompt design, retrieval-augmented generation, tool integration, fine-tuning, evaluation, deployment, and continuous optimization. Customization should not begin with the assumption that a new model must be trained. In…Read more »
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Running Codex as a Headless Agent
Turning Codex from an interactive assistant into a programmable automation component
The post Running Codex as a Headless Agent appeared first on Towards Data Science.
Estimating from No Data: Deriving a Continuous Score from Categories
A walkthrough of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training
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Retrieve One Row from a Table, Not the Whole Table: Row-Level Chunks for RAG
Enterprise Document Intelligence [Vol.1 #7sexies] – The unit of retrieval doesn’t have to be a page or a paragraph. When the corpus carries tables, each body row with its column headers is a chunk in its own right, and it’s often the one row the reader asked about
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The Types of Dimensions in a Star Schema, and How to Use Them
Dimensions are one of the two main object types in dimensional modelling. But what are the different types of dimensions? And how can you use them?
The post The Types of Dimensions in a Star Schema, and How to Use Them appeared first on Towards Data Science.