Curated for content, computing, and digital experience professionals

Day: May 24, 2023

Acquia updates Acquia DAM

Digital experience company Acquia announced enhancements to its digital asset management platform, Acquia DAM (Widen), including an artificial intelligence (AI) chatbot to assist in creative workflows. The capability enhances creative collaboration across content and creative teams with an always-ready sounding board and idea generator.

AI Assistant is integrated into the comments functionality of the Acquia DAM review and proofing tool, Workflow. Using it, anyone reviewing a content proof can ask the AI assistant a question in a conversational way and get a response in seconds to help spur creativity. Examples include getting copy suggestions to improve the written aspect of a project, requesting design suggestions, getting suggestions for visuals such as images or videos, receiving suggestions based on audience segmentation such as interests or behavior, or analyzing competitors’ content to help ensure differentiation.

Acquia also released new integrations for Acquia DAM to streamline collaboration across content and marketing teams and extend the value of their content across their martech stacks. These include: Canva, Jira, Dropbox, Marq, and Salesforce.

https://acquia.com/products/acquia-dam

Gilbane Advisor 5-24-23 — Fine-tuning LLMs, implementing Live Activities

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 https://gilbane.com/gilbane-advisor-index/


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)

https://towardsdatascience.com/when-should-you-fine-tune-llms-2dddc09a404a

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)

https://design.lyft.com/that-little-island-changes-everything-b89b108f45b4

More Reading

All Gilbane Advisor issues


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
https://www.sinequa.com/enterprise-search-for-industries/healthcare-life-science/

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.
https://www.expert.ai/solutions/life-science-pharma/

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). 
https://www.transperfect.com/about/press/transperfect-launches-globallink-connect-app-contentstacks-composable-digital

Ontotext releases Target Discovery​

Platform provides pharma & biotech companies more efficient insight discovery, faster information retrieval, and advanced visual analytics.
https://www.ontotext.com/solutions/ontotexts-target-discovery/

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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