Curated for content, computing, and digital experience professionals

Month: March 2023 (Page 1 of 2)

Algolia introduces developer-friendly plan

Algolia, a AI Search and Discovery platform, evolved its pricing and packaging to be more developer-friendly with the introduction of two new developer-oriented plans: a “Build” plan that is free and a “Grow” plan that offers easy scalability at affordable prices. The new Build plan increases the number of free records that a developer can store in Algolia from 10,000 to now 1 million records. Additionally, Algolia cut the cost of search requests in its Grow plan by 50% and records by 60%.

Algolia’s “Build” pricing plan provides developers with free access to the entire set of capabilities in its AI-powered Search and Discovery platform. The company’s “Grow” plan, for when a developer is ready to scale their application, enables developers with more developer-friendly usage-based pricing for live production settings.

A designer, creator, or builder, whether they are a casual or fully committed software engineer, can access all the tools, documentation, sample code, educational content, and cross-platform integration capabilities needed to get started with managing their data, building a search front-end, configuring analytics for free. They will have access to a developer community of more than 5 million builders. Algolia pricing and packaging reflecting this change is immediately available.

https://www.algolia.com

Gilbane Advisor 3-29-23 — ChatGPT plugins, knowledge graph tricks

This week we feature content from OpenAI and Kurt Cagle.

Additional reading comes from Alex Hollender, Dean Allemang, and Tom Warren.

News comes from Adobe, Ontotext, Kobai, and Syncro Soft.

Note that news items now link to the original source of the news rather than our 200 word summaries, which are always available here.

The next issue will be published April 12. All previous issues are available at https://gilbane.com/gilbane-advisor-index/


Opinion / Analysis

ChatGPT plugins

Many, perhaps most, of the problems with large language models like GPT are due to data limitations (availability, age, quality). The ability to complement GPT data with external knowledge and data sources you own or trust, or are specific to your industry or business, increases model quality, context, and utility. LlamaIndex APIs can help you accomplish this. Now ChatGPT plugins take integration possibilities up a level. This post by the OpenAI team is the best place to get up-to-speed on the first batch of plugins, and what they’re planning. (12 min)

https://openai.com/blog/chatgpt-plugins

Nine ChatGPT tricks for knowledge graph workers

A helpful show-and-tell from Kurt Cagle… 

“Where things get interesting is in the realm of coding and semantics… most of these samples made use of ChatGPT+ for experimentation and the DaVince OpenAI Playground for generating more complex output.” (22 min)

https://thecaglereport.com/2023/03/16/nine-chatgpt-tricks-for-knowledge-graph-workers/

More Reading

All Gilbane Advisor issues


Content technology news

Adobe announces multiple product updates

Adobe announcements focused on generative AI services, personalization, content management, product analytics, and content supply chain.
https://news.adobe.com/home/default.aspx

Ontotext releases Metadata Studio 3.2

Enables rapid text mining development based on an organization’s knowledge graph with non-technical contributors in the loop.
https://www.ontotext.com

Kobai launches Saturn Knowledge Graph 

Kobai Saturn platform users to query data at Lakehouse scale and integrate every use case and function into a single semantic layer.
https://www.kobai.io/products/kobai-saturn

Syncro Soft releases Oxygen XML suite 25.1 

Updates to Oxygen XML Editor, Author, Developer, Web Author, Publishing Engine, WebHelp, PDF Chemistry, and Scripting, and Oxygen Feedback.
https://www.sync.ro

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.

Subscribe | View online | Editorial policy | Privacy policy | Contact

Kobai launches Saturn Knowledge Graph

Kobai, a codeless knowledge graph platform, announced the availability of Kobai Saturn, a knowledge graph to harness the scale, performance, and cost efficiency of the lakehouse architecture. Kobai Saturn extends the capabilities of the Kobai Platform, integrating every use case and function into a single semantic layer.

Business users need quick insights to make day-to-day decisions, which require connected data from data from across the enterprise. With Kobai Saturn, organizations can leverage the ease of knowledge graphs with the scalability of a data warehouse. New capabilities include:

  • Direct integration: embedded in the data layer, organizations can query data without moving it from the lake or warehouse, following W3C and Lakehouse open standards for complete interoperability
  • Improved performance: on-demand and burstable compute leveraging the underlying data layer for faster graph queries and ML training without virtualization
  • Seamless collaboration: publish business question as SQL views to integrate with existing data science and business intelligence tools

Kobai’s codeless platform provides a business-first approach and a collaborative environment to rapidly share insights across the entire organization. The new Kobai Saturn knowledge graph works directly with Kobai’s Studio framework and Tower visualization products.

https://www.kobai.io/products/kobai-saturn

Adobe announces multiple product updates

At Adobe Summit Adobe unveiled a wide range of product updates across Adobe Experience Cloud, a customer experience management solution, and Adobe Creative Cloud a platform for creating compelling content, to help brands drive experience-led growth.

Adobe debuted new Adobe Sensei GenAI services, including Adobe Firefly – a new family of creative generative AI models, as well as new generative AI innovations across Adobe Experience Cloud to power marketing workflows. The company also announced new Adobe Product Analytics and a reimagined content management solution enabling marketers to self-serve website and mobile app edits.

Adobe unveiled Adobe Express for Enterprise, allowing anyone within an organization to rapidly create and iterate content, regardless of their creative skill level. Adobe also announced a Content Supply Chain solution, made possible through Creative Cloud and Experience Cloud that connect popular tools for planning, creating, reviewing and distributing creative collateral so teams can collaborate more efficiently.

AI and generative AI services will be integrated natively in Adobe Experience Cloud as a co-pilot for marketers, improving productivity and efficiency while providing full creative control and trusted governance capabilities. Sensei GenAI will leverage multiple large language models (LLMs) including Microsoft Azure OpenAI and FLAN-T5 within Adobe Experience Platform, depending on business needs.

https://news.adobe.com/home/default.aspx

Ontotext releases Metadata Studio 3.2

Ontotext, a provider of enterprise knowledge graph (EKG) technology and semantic database engines, released Ontotext Metadata Studio version 3.2. The metadata management and tagging control solution helps organizations to transform content into knowledge. Users can utilize the taxonomical instance data in their knowledge graph to achieve explainable and customizable out-of-the-box taxonomy-driven tagging.

Ontotext Metadata Studio 3.2 makes it easy for users to determine whether a use case could be automated or not across any third-party text mining service, simplifies orchestrating complex text analysis across third-party services, and evaluates their quality against internal benchmarks or against one another.

With version 3.2, Ontotext Metadata Studio enables non-technical end users to create, evaluate, and improve the quality of their text analytics service by tagging and linking against their own business domain model. With extensive explainability and control features, users who are not proficient in text analytics techniques can understand the causal relationships between the underlying dataset, the specific text analytics service configuration, and the final output.

This enhancement enables efficient user intervention, making the human truly in the loop and completely in control of the whole extraction process. Ontotext Metadata Studio is domain neutral and applicable for various domains and use cases.

https://www.ontotext.com

Syncro Soft releases Oxygen XML suite 25.1

Syncro Soft, developer of the Oxygen XML suite of products, announced the availability of version 25.1 of its XML suite of products: Oxygen XML Editor, Author, Developer, Web Author, Publishing Engine, WebHelp, PDF Chemistry, and Scripting, as well as version 3.0 of the Oxygen Feedback comment management platform.

Highlights include productivity improvements for DITA authors and DITA publishers who produce either CSS-based PDF or WebHelp output. JSON schema designers get functionality to help them in Design mode, upgrades to JSON tools, and support for editing JSON Lines documents. YAML editing support is now similar to Oxygen’s JSON support. The scripting community now has access to ready-to-use GitHub project templates and GitHub actions that allow users to automate scripts and some of the existing scripts were improved, while new ones were added.

Oxygen XML Web Author comes with updates for the comparison tool and image maps, new plugins are available for adding support for CALS tables in custom frameworks, rendering LaTeX equations, and providing client-side evaluation of XPath expressions. The latest version of Oxygen Feedback is the Content Indexing and Search feature, which enables you to utilize Oxygen Feedback as an external search engine for your published Oxygen WebHelp Responsive output.

https://www.sync.ro

Gilbane Advisor 3-15-23 — Building ChatGPT, Data-Centric AI

This week we feature content from Rama Ramakrishnan, and a course by, Anish Athalye, Curtis Northcutt, Jonas Mueller, Cody Coleman, Alexandra Zytek, & Sharon Zhou.

Additional reading comes from Benjamin Marie, Sarah Gooding, and Dmitry Kan.

News comes from Ontotext, Acquia, Lucid Software, and Databricks.

👉 No issue next week — we’ll be back March 29th.

Note that news items now link to the original source of the news rather than our 200 word summaries, which are always available here.

All previous issues are available at https://gilbane.com/gilbane-advisor-index/


Opinion / Analysis

The Road to ChatGPT — An informal explainer on how ChatGPT was built

Rama Ramakrishnan…
“I have written an informal “explainer” on how ChatGPT was built. I have tried to focus on the key ideas and have kept technical details to the bare minimum. Please view in full-screen mode. I hope you find it useful.”

This is excellent. You truly don’t need to be technical to follow it. Don’t let the 104 slides scare you off; you can fly through most of them. 

https://www.linkedin.com/feed/update/urn:li:activity:7038334518004482048/

Introduction to Data-Centric AI

“In real-world applications, data is messy and improving models is not the only way to get better performance. You can also improve the dataset itself rather than treating it as fixed. Data-Centric AI (DCAI) is an emerging science that studies techniques to improve datasets, which is often the best way to improve performance in practical ML applications.”

MIT has made this course freely available to all. Lectures and materials are online. This is a valuable resource for professional practitioners as well as students. (1 min for the course description – the rest is up to you).

https://dcai.csail.mit.edu

More Reading

All Gilbane Advisor issues


Content technology news

Ontotext releases GraphDB 10.2

Model Serving provides fully managed production machine learning (ML) capabilities natively within the Databricks Lakehouse Platform.
https://www.ontotext.com/

Acquia adds integrations to Digital Asset Management (DAM) System

The new integrations give customers more control over brand consistency, extend the value of content and data created in other systems.
https://www.acquia.com/

Lucid Software announces new integrations to enhance collaboration

Integrations streamline processes and workflows within a company’s tech stack and creates a foundation for effective and efficient collaboration.
https://lucid.co/

Databricks launches Databricks Model Serving

Model Serving provides fully managed production machine learning (ML) capabilities natively within the Databricks Lakehouse Platform.
https://www.databricks.com/

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.

Subscribe | View online | Editorial policy | Privacy policy | Contact

Ontotext releases GraphDB 10.2

Ontotext, a provider of enterprise knowledge graph (EKG) technology and semantic database engines, launched GraphDB 10.2, an RDF database for knowledge graph. GraphDB enables organizations to link diverse data, index it for semantic search, and enrich it via text analysis to build large scale knowledge graphs. With improved cluster backup and cloud support, GraphDB lowers traditional memory requirements, and provides a more transparent memory model.

Users can oversee system health and diagnose problems easier using industry-standard toolkit Prometheus or by monitoring performance directly within the GraphDB Workbench itself. The solution also includes support for X.509 client certificate authentication for greater flexibility when accessing a secured GraphDB instance.

Backups can also be stored directly in Amazon S3 storage to ensure the most up to date data is securely protected against inadvertent changes or hardware failures in local on-prem infrastructure.

Internal structures and moved memory usage from off-heap to the Java heap were also redesigned for a more straightforward memory configuration, where a single number i.e. (the Java maximum heap size) controls the maximum memory available to GraphDB. Memory used during RDF Rank computation was also optimized making it possible to compute the rank of larger repositories with less memory.

https://www.ontotext.com

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