This week we feature articles from Skanda Vivek, and Alexander Savard.

Additional reading comes from Dean Allemang, Neil Clarke, Sridhahr Ramaswamy & Vivek Raghunathan, and Bogdan Arsintescu.

News comes from Ontotext, Expert[.]ai, Sinequa, and TransPerfect & Contentstack.

All previous issues are available at

Opinion / Analysis

When should you fine-tune LLMs?

Last week we led with an article looking at combining knowledge graphs with large language models to create high-value domain specific applications. This post from Skanda Vivek looks at another decision to make when building a domain specific application: whether to use a proprietary LLM, such as ChatGPT, fine-tune an open-source LLM, or train an LLM from scratch. Vivek includes cost considerations, but also includes a link to a post with detailed hosting costs. (7 min)

That little island changes everything

A really interesting case study from Lyft on implementing Apple’s Dynamic Island and Live Activities for a better user experience. Alexander Savard takes you through the design decisions. (10 min)

More Reading

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Content technology news

Sinequa enhances platform for scientific search and clinical trial data

Combines deep learning and large language models for natural language understanding (NLU) with ChatGPT models through Azure OpenAI Service.Tridion unites web content, structured content and headless delivery

Expert[.]ai launches AI platform for Life Sciences

The Platform combines industry language models and AI-based natural language capabilities transforming health and scientific data into insights.

TransPerfect launches GlobalLink Connect app for Contentstack’s DXP

The GlobalLink Connect app is now available on the Contentstack Marketplace, part of Contentstack’s Composable Digital Experience Platform (DXP).

Ontotext releases Target Discovery​

Platform provides pharma & biotech companies more efficient insight discovery, faster information retrieval, and advanced visual analytics.

All content technology news

The Gilbane Advisor is authored by Frank Gilbane and is ad-free, cost-free, and curated for content, computing, web, data, and digital experience technology and information professionals. We publish recommended articles and content technology news weekly. We do not sell or share personal data.

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