Day: April 24, 2024

Snowflake launches Arctic, an open enterprise-grade LLM

April 24, 2024 / NewsShark

Snowflake announced Snowflake Arctic, a large language model (LLM) an open, enterprise-grade LLM. It is optimized for complex enterprise workloads. In addition, Snowflake is releasing Arctic’s weights under an Apache 2.0 license and details of the research leading to how it was trained. The Snowflake Arctic LLM is a part of the Snowflake Arctic model family, a family of models built by Snowflake that also include practical text-embedding models for retrieval use cases.

Snowflake Arctic comes with an Apache 2.0 license that permits ungated personal, research, and commercial use. Snowflake also provides code templates, alongside flexible inference and training options so users can get started with deploying and customizing Arctic using their preferred frameworks. These will include NVIDIA NIM with NVIDIA TensorRT-LLM, vLLM, and Hugging Face. For immediate use, Arctic is available for serverless inference in Snowflake Cortex, Snowflake’s service that offers machine learning and AI solutions in the Data Cloud. It will also be available on Amazon Web Services(AWS), alongside other model gardens and catalogs, which will include Hugging Face, Lamini, Microsoft Azure, NVIDIA API catalog, Perplexity, and Together AI. In addition to the Arctic LLM, the Snowflake Arctic family of models also includes the recently announced Arctic embed.

https://www.snowflake.com/news/snowflake-launches-arctic-the-most-open-enterprise-grade-large-language-model

AtScale introduces Developer Community Edition for semantic modeling

April 24, 2024 / NewsShark

AtScale, a provider of semantic layer solutions for analytics and Generative AI, today announced the public preview of the AtScale Developer Community Edition. This free downloadable version of AtScale’s semantic layer platform allows users to build and share semantic models to democratize analytics. The Developer Community Edition serves as a Universal Semantic Hub, allowing semantic models to be distributed to various AI/BI tools, promoting a connected data environment. Features include:

Semantic Modeling Language – An object-oriented modeling language called the semantic modeling language (SML) was introduced to express complex business concepts. SML facilitates the sharing and reusing of composable and versionable semantic objects, supporting an analytics mesh, or hub-and-spoke governance style for users.
Business-Friendly Interface – Users can comprehend and analyze data without needing to know complex query languages or database knowledge.
Public Semantic Model GitHub Repository – AtScale Developer Community Edition adds a public GitHub repository for pre-built, reusable semantic models, helping users and the community to share, learn, and innovate together, making the benefits of analytics widely accessible. Industry-specific semantic models are readily available for use with any BI tool, offering value to companies seeking to leverage data modeling in their operations.

https://www.atscale.com/press/atscale-developer-community-edition-for-semantic-modeling/

Gilbane Advisor 4-24-24 — GenAI Compass, continuous knowledge graphs

April 24, 2024 / Frank Gilbane

This week we feature articles from Vincent Koc, and Mike Dillinger.

Additional reading comes from Stanford HAI, Kunal Sawarkar, Avi Chawla, and The Linux Foundation.

News comes from Adobe, NebulaGraph, ThoughtSpot, and expert ai.

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

Opinion / Analysis

The GenAI Compass: a UX framework to design generative AI experiences

Vincent Koc’s comprehensive framework is a must read for teams building GenAI applications. (17 min)

https://uxdesign.cc/the-genai-compass-a-ux-framework-to-design-generative-ai-experiences-49a7d797c114

Continuous Knowledge Graphs for Neurosymbolic AI

“One blocker to more widespread deployment of knowledge graphs in AI is the belief that they are inherently a discrete form of knowledge. This is how they are often contrasted with large language models, which are described as a continuous form of knowledge. And it is a counterproductive way of characterizing these forms of knowledge representation that fundamentally misrepresents both.”

Mike Dillinger’s thoughtful and stimulating piece should be part of any discussion on the relative roles of LLMs and KGs. (8 min)

https://medium.com/@mike.dillinger/continuous-knowledge-graphs-for-neurosymbolic-ai-9000b4aa0eb7

Content technology news

Adobe adds Firefly to Adobe Express App

Adobe Express brings popular Firefly GenAI features like Text to Image, Generative Fill, Text Effects and Text to Template to mobile devices.
https://news.adobe.com/news/news-details/2024/All-New-Adobe-Express-Mobile-App-with-Firefly-AI-Now-Available-to-Millions-Empowering-them-to-Create-Standout-Content-On-the-Go/default.aspx

NebulaGraph Enterprise v5.0 offers native GQL support

Built on and designed for GQL data compatibility and interoperability to provide the business value of graph databases across various scenarios.
https://www.nebula-graph.io/posts/nebulagraph_enterprise_5.0_gql_support ■ https://www.iso.org/standard/76120.html

ThoughtSpot renames and adds features to ThoughtSpot Everywhere

Initiatives support developers and product builders to help their customers, partners, and employees with GenAI and embedded natural language search.
https://www.thoughtspot.com/press-releases/thoughtspot-makes-embedding-ai-powered-analytics-easy-and-ubiquitous-for-everyone

Expert.ai launches Insight Engine for Life Sciences

Harnessing advanced AI capabilities to mine and aggregate scientific content, synthesize knowledge, extract relevant information & reveal hidden correlations.
https://www.expert.ai/expert-ai-launches-insight-engine-for-life-sciences/

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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