Connect with us

Technology

Narrative Unveils LLM Fine-Tuning Platform and Rosetta Stone 2.0, Pioneering a New Era of Data Normalization and Custom Model Training

Published

2 years ago

on

NEW YORK, Jan. 7, 2025 /PRNewswire/ — Narrative, the industry’s leading data collaboration and commerce platform, today announced a groundbreaking suite of enhancements aimed at democratizing AI development and data utilization. Chief among these is the introduction of a new Large Language Model (LLM) fine-tuning capability, enabling companies of all sizes to customize their own AI models directly on the Narrative platform with unprecedented ease. Additionally, Narrative is thrilled to introduce Rosetta Stone™ 2.0, the next generation of the company’s acclaimed data normalization solution, engineered using the very fine-tuning tools now available to customers.

Narrative Unveils LLM Fine-Tuning Platform & Rosetta Stone 2.0, Revolutionizing Data Normalization & AI Customization

A Collaborative and Accessible Approach to LLM Fine-Tuning
At the core of Narrative’s approach is a “collaboration-first” philosophy. Users can now access a broad range of datasets—from proprietary and partner sources to publicly available and marketplace content—to train and refine their LLMs. This approach fosters an ecosystem where content creators and publishers can monetize their work directly, while businesses benefit from a richer, more diverse data pool to power increasingly sophisticated AI models. By removing technical barriers and simplifying the model-building process, Narrative empowers everyone from non-technical operators to seasoned data scientists to craft bespoke language models with a simple point-and-click interface.

Rosetta Stone 2.0: Next-Generation Data Normalization
A centerpiece of today’s announcement is Rosetta Stone 2.0, an evolution of Narrative’s pioneering data normalization capability. Leveraging Narrative’s new LLM fine-tuning platform, the updated Rosetta Stone model delivers remarkable performance gains and expanded functionality. It not only standardizes data automatically across disparate sources, ensuring seamless compatibility and readiness for training, but it also can serve as a foundational base model for customers looking to extend its core normalization capabilities into their specific domain. From ensuring coherent data formats to tackling complex, domain-specific semantic challenges, Rosetta Stone 2.0 is a flexible, next-level tool designed to accelerate data-driven innovation.

Key Features and Benefits:

Easy, No-Code Model Fine-Tuning:
Users can skip the complex coding, configuration files, and intricate infrastructure setups. Narrative’s platform translates raw datasets into meaningful training material through an intuitive, point-and-click interface.

Rich Data Ecosystem & Monetization Opportunities:
Through Narrative’s marketplace, publishers, content creators, and data owners can directly profit by offering their datasets for model training. Simultaneously, developers can tap into a vast reservoir of high-quality information to train models that align perfectly with their use cases.

Rosetta Stone 2.0 Engineered with Fine-Tuning:
Built using the same LLM customization features now offered to users, Rosetta Stone 2.0 exemplifies the power and potential of the Narrative platform. Its advanced normalization techniques handle complex and heterogeneous data sets, and it can be adapted into a specialized normalization model for industry- or business-specific contexts.

Bring fine tuning to your data
Narrative fine tuning is available anywhere Narrative is available, including in Narrative’s cloud and in your organization’s Snowflake, Databricks, AWS, Azure, or GCP account.

Customizing Rosetta Stone for Your Data

Narrative now gives you the option to tailor Rosetta Stone’s powerful data normalization capabilities so it fits your organization’s unique data and terminology—no major system overhauls required. This means you get more accurate and consistent results by aligning Rosetta Stone with your own industry language and internal structures.

When you’re ready to deploy Rosetta Stone, you can choose from different model sizes to strike the right balance of speed, detail, and cost. Simply pick the option that best fits your team’s priorities and infrastructure.

“The launch of our LLM fine-tuning platform and Rosetta Stone 2.0 marks a pivotal milestone in our journey to democratize AI development. With these offerings, anyone can create, refine, and extend powerful language models, and content creators can finally realize tangible value for their contributions. This is what the future of data and AI collaboration looks like—accessible, flexible, and mutually beneficial for all stakeholders.” –Nick Jordan, Founder, Narrative

For more information on Narrative’s LLM fine-tuning platform and Rosetta Stone 2.0, or to schedule a live demo, visit narrative.io.

View original content to download multimedia:https://www.prnewswire.com/news-releases/narrative-unveils-llm-fine-tuning-platform-and-rosetta-stone-2-0–pioneering-a-new-era-of-data-normalization-and-custom-model-training-302344342.html

SOURCE Narrative I/O, Inc.

Related Topics:
Continue Reading

Technology

LEAP Group Relaunches HumanView, a Growth Intelligence System Built to Explain Why Customers Behave the Way They Do

Published

1 hour ago

on

October 24, 2026

By

Reimagined from the ground up, HumanView pairs statistical modeling with expert analysts to turn millions of real-world customer signals into business decisions

LOUISVILLE, Ky., Oct. 23, 2026 /PRNewswire/ — LEAP Group today announced the relaunch of HumanView, its growth intelligence service. The new version has been rebuilt from the ground up and now has a dedicated home at leapgroupnetwork.com/humanview.

HumanView analyzes what customers say and do across social platforms, e-commerce sites, review platforms, search behavior and user-generated content, including signals from Reddit, TikTok, YouTube, Meta, Amazon and Walmart+ that general AI tools cannot always access. Because the data reflects unprompted, real-world behavior, it avoids the response bias built into surveys and focus groups.

The service works in three layers. HumanView captures signals at scale, decodes millions of records through validated statistical models such as regression, correlation and clustering, and then relies on experienced analysts to interpret the patterns. Clients receive clear, human-validated insights instead of another dashboard.

“Machines find the patterns. Humans find the point,” said Alan Gilleo, CEO at LEAP Group. “The first version of HumanView showed us how much customers reveal when nobody is asking them questions. This version is built to explain why they act the way they do, and to put those answers in front of everyone making decisions, from product to service to marketing.”

HumanView focuses on three areas:

Growth Intelligence: customer motivations and how people perceive a brand and its competitors

Market and Category Intelligence: product pain points, service friction, unmet needs and competitive gaps

Audience Intelligence: new segments, positioning opportunities and gaps in the market

Every model is designed and validated by data scientists and benchmarked before it informs a recommendation.

To learn more about HumanView, visit leapgroupnetwork.com/humanview.

About LEAP Group
LEAP Group is a boutique marketing agency holding company with offices in Louisville, Indianapolis, Cincinnati and Chicago. Guided by the belief that brands should “Market Less. Matter More.,” LEAP gives clients access to specialized experts across its entire network. Learn more at leapgroupnetwork.com.

View original content to download multimedia:https://www.prnewswire.com/news-releases/leap-group-relaunches-humanview-a-growth-intelligence-system-built-to-explain-why-customers-behave-the-way-they-do-302918557.html

SOURCE LEAP Group

Continue Reading

Technology

STEPHEN A. SMITH ADDRESSES WHITE HOUSE DINNER ATTENDANCE, REAFFIRMS COMMITMENT TO HBCUs AND PROTECTING CORPORATE INVESTMENT IN BLACK EDUCATION

Published

2 hours ago

on

October 24, 2026

By

NEW YORK, Oct. 23, 2026 /PRNewswire/ — Stephen A. Smith, media mogul, New York Times bestselling author, and proud 1991 graduate of Winston-Salem State University, is addressing the public discussion surrounding his decision to attend a White House dinner with President Donald Trump, emphasizing his commitment to the long-term financial stability of Historically Black Colleges and Universities (HBCUs).

For Smith, the decision was rooted in a commitment to institutions that have educated generations of Black leaders, professionals, entrepreneurs, and public servants.

“I will always advocate for HBCUs and the students whose futures depend on them,” Smith said. “My reason for attending the White House dinner was to discuss the challenges these institutions face in securing long-term funding and to make the case that corporate America must continue to invest in them.”

Smith acknowledged federal support through the FUTURE Act while expressing concern that political tensions surrounding diversity, equity, and inclusion (DEI) could discourage private companies from supporting HBCUs. He maintains that these institutions deserve sustained corporate partnerships, philanthropic contributions, and public investment.

“If we truly believe in free-market capitalism, businesses should be able to support educational institutions and charitable causes without fear of criticism or repercussions,” Smith said. “HBCUs have made extraordinary contributions to this country. They deserve sustained public and private investment.”

Ashley Christopher, Esq., Founder and CEO of the HBCU Week Foundation, recognized Smith’s advocacy and decision to engage with the administration.

“Stephen A. Smith has been a powerful advocate for HBCUs, using his platform and influence to shine a national spotlight on our institutions,” expressed Christopher, “His continued support of HBCU Week helps advance our mission of connecting students with life-changing educational opportunities, and we are proud to have him as our ambassador.”

Since Smith became an HBCU Week Ambassador in 2019, the initiative has facilitated more than 15,000 on-the-spot college acceptances and raised and awarded more than $150 million in scholarships, according to the HBCU Week Foundation.

As public discussion continues, Smith is emphasizing the importance of ensuring HBCUs have the resources and partnerships needed to educate future generations and expand opportunities for students.

CLICK HERE to watch Smith’s full response to his White House visit.

MEDIA CONTACT:

media@mrsasinc.com

View original content:https://www.prnewswire.com/news-releases/stephen-a-smith-addresses-white-house-dinner-attendance-reaffirms-commitment-to-hbcus-and-protecting-corporate-investment-in-black-education-302918547.html

SOURCE Straight Shooter Media

Continue Reading

Technology

Advantex Announces Completion of Financing and Extension of Maturity Date of Previously Issued Debentures

Published

2 hours ago

on

October 24, 2026

By

TORONTO, Oct. 23, 2026 /CNW/ — Advantex Marketing International Inc. (CSE: ADX) (“Advantex”), a leader in the merchant cash advance and loyalty marketing products for merchants, today announced the completion of a $250,000 secured debt financing. Advantex issued a $250,000 non-convertible debenture which bears an interest rate at 12% per annum and matures December 15, 2027. The proceeds raised from this issuance of the Debenture will be used for working capital purposes.

Advantex has also extended the maturity of its existing $700,000 in 12% secured debentures from October 10, 2026 to December 15, 2027.

About Advantex Marketing International Inc.

Advantex provides working capital to merchants. Advantex also provides specialized marketing programs that enable members of Aeroplan to earn Aeroplan points at participating merchants.

Advantex shares trade on the Canadian Securities Exchange under the symbol ADX. For more information go to Advantex’s profile on www.sedar.com

Forward-Looking Information

This news release contains “forward-looking statements” within the meaning of applicable securities laws relating to the future business and operations of Advantex. Actual results and developments may differ materially from those contemplated by these statements. The business and operations of Advantex described herein is dependent on a number of factors and is subject to a number of risks and uncertainties. Factors that could cause actual results to differ material include, but are not limited to, changes in Advantex’s economic and competitive conditions including but not limited to the industry sectors in which Advantex operates.

The statements in this news release are made of the date of this release. Forward-looking statements are made based on management’s beliefs, estimates and opinions on the date the statements are made and Advantex undertakes no obligation to update forward-looking statements if these beliefs, estimates and opinions or other circumstances should change, except as required by applicable law.

SOURCE Advantex Marketing International Inc.

Continue Reading

Trending