Dataversity

JANUARY 29, 2024

Foundation models like large language models (LLMs) are a vast and evolving subject, but how did we get here? To get to LLMs, there are several layers we need to peel back starting with the overarching topic of AI and machine learning.

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Dataversity

SEPTEMBER 25, 2023

In an era where large language models (LLMs) are redefining AI digital interactions, the criticality of accurate, high-quality, and pertinent data labeling emerges as paramount. That means data labelers and the vendors overseeing them must seamlessly blend data quality with human expertise and ethical work practices.

Data Quality 260

Data Quality Digital Data Governance Government 260

Dataversity

MARCH 18, 2024

Generative AI (GenAI), machine learning (ML), and large language models (LLMs) are all becoming increasingly important to modern enterprises, but achieving measurable value from AI is still a challenge.

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Simplilearn

APRIL 10, 2024

At its core, prompt engineering involves the strategic formulation of inputs (prompts) to elicit desired outputs from AI models, especially those based on large language models (LLMs) like GPT (Generative Pre-trained Transformer). This nuanced field blends creativity wit. Read More.

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Dataversity

JANUARY 26, 2024

In our set of 2023 predictions, we did note the potential effect of LLMs, with research showing their ability to self-improve, […] The post 2024 Predictions in AI and Natural Language Processing (NLP) appeared first on DATAVERSITY.

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Dataversity

AUGUST 25, 2023

The emergence of large language models (LLMs) has ushered in a new era of generative AI tools with unprecedented capabilities. While LLMs offer immense potential, there is a pressing need to address the potential […] The post Protecting Intellectual Property in the Age of LLM Generative AI Tools appeared first on DATAVERSITY.

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Timo Elliott

MAY 18, 2023

What’s interesting about LLMs is that they can actually potentially help with some of what’s still hard in the process — potentially helping corral data into meaningful combinations faster and more reliably, for example, or helping business people understand how they can make best use of the new technology.

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Dataversity

OCTOBER 6, 2023

There is no escaping the excitement and potential that generative AI has been commanding recently, particularly with regard to large language models (LLMs). As a result, […] The post Demystifying Large Language Models: Practical Insights for Successful Deployment appeared first on DATAVERSITY.

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Simplilearn

JUNE 28, 2023

ChatGPT, LLMs, computer vision: Artificial Intelligence and Machine Learning are swiftly reshaping the world around us. To stay at the forefront of this change, you need a robust training program that equips you with the necessary skills and knowledge.

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Cprime

NOVEMBER 16, 2023

Large Language Models (LLMs) like ChatGPT are revolutionizing the way businesses interact with artificial intelligence. This article is largely based on our webinar, AI for Everyone: Demystifying Large Language Models (LLMs) Like ChatGPT. In practical terms, LLMs can transform business operations.

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Cprime

MARCH 7, 2024

I don’t need to tell you that Generative AI systems using Large Language Models (LLMs) like Open AI’s ChatGPT v4 are exploding across every aspect of modern business. Why venture into private, customized LLMs? Public LLMs like ChatGPT have brought the diverse benefits of GenAI to the forefront. Here’s why.

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Dataversity

DECEMBER 16, 2022

Large language models (LLMs) have shown impressive capabilities not just in natural language […]. 2022 was a big year for AI, and we’ve seen significant advancements in various areas – including natural language processing (NLP), machine learning (ML), and deep learning.

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Forrester - Business Intelligence

APRIL 20, 2023

The generative AI boom is fundamentally changing the landscape of vendor offerings. We believe one largely ignored area where generative AI will have a disruptive impact is in enterprise analytics, specifically business intelligence (BI).

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Insight Software

MARCH 8, 2024

By: Terrence Sheflin Local LLMs are becoming mainstream with sites like HuggingFace promoting open sharing of trained LLMs. These LLMs are often very small but still extremely accurate, especially for domain-specific tasks like medicine, finance, law, and others.

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Juice Analytics

MARCH 4, 2024

Share the app The data is sourced from the Large Model Systems Leaderboard ( [link] ), "a crowdsourced open platform for LLM evals. We've collected over 200,000 human preference votes to rank LLMs with the Elo ranking system."

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The Data Administration Newsletter

JANUARY 17, 2024

The “Tide” of LLMs Has Reached Our Shores As a career data professional and having spent most of the last 10 years with Collibra, Alation, and now as an independent, I’ve come to a somewhat painful, yet exciting realization that large language models (LLM) will completely disrupt and displace data cataloging as we know it! […]

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The Data Administration Newsletter

JUNE 6, 2023

In the last few months, we have seen the wave of Artificial Intelligence break on the shores of wide-scale business adoption and mainstream media coverage of Large Language Models, most famously ChatGPT.

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Domo

NOVEMBER 30, 2023

November 30, 2022 was a day where a lot of people stopped their work to play with a Large Language Model (LLM) developed by OpenAI. Other LLMs were quickly released by competitors such as Bard from Google and LLaMA from Meta. The launch of ChatGPT sent a tidal wave through the tech community.

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The Data Administration Newsletter

JULY 4, 2023

In today’s rapidly changing and advancing world of artificial intelligence (AI), generative AI, and large language models (LLMs), data has become the lifeblood of innovation. Data fuels algorithms, powers decision-making processes, and shapes the future impact of technology.

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Modern Analyst

MARCH 3, 2024

LLM-based tools are being used to generate not only system requirements, but also meeting agendas, lists of questions to ask in stakeholder interviews, change management plans, and more.

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Cprime

MARCH 14, 2024

AI in Agile FAQs addressed in this article: What percentage of organizations are actively exploring or integrating AI tools like LLMs and code assistants into Agile practices? – Nearly 30% of organizations are actively exploring or integrating AI tools such as large language models (LLMs) and code assistants into their Agile practices.

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Inflexion Analytics

APRIL 15, 2024

With a suite of LLMs at our fingertips, we can cherry-pick models that align seamlessly with our marketing objectives. Google Vertex AI for Marketing: A Game-Changer in Automation With the introduction of Llama 2 in Vertex AI on Google Cloud, we’ve only scratched the surface.

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GAVS Technology

JULY 6, 2021

Some of the other examples of LLMs are Google’s BERT and OpenAI’s GPT-2 and GPT-3. Environmental impact: LLMs also have an outsize impact on the environment as these emit shockingly high carbon dioxide – equivalent to nearly five times the lifetime emissions of an average car including manufacturing of the car.

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My Agile Partner

SEPTEMBER 29, 2023

With this release, the company aims to compete with top-performing generative AI language models (LLMs). ” In this context, Mistral 7B will directly compete with Meta’s open-source LLMs and OpenAI’s paid ChatGPT Enterprise, which provides access to the latest large language models.

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Inflexion Analytics

APRIL 15, 2024

In the ever-evolving landscape of artificial intelligence and natural language processing, Large Language Models (LLMs) are capturing the spotlight for their incredible versatility and problem-solving capabilities. What Are LLMs? Why Choose LLMs for Domain-Specific Challenges?

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Artificial Intelligence Documentation Digital Innovation 52

Inflexion Analytics

APRIL 15, 2024

In the ever-evolving landscape of artificial intelligence and natural language processing, Large Language Models (LLMs) are capturing the spotlight for their incredible versatility and problem-solving capabilities. What Are LLMs? Why Choose LLMs for Domain-Specific Challenges?

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Artificial Intelligence Documentation Digital Innovation 52

Domo

JUNE 22, 2023

At Domo, we use AI tools that don’t contribute to the public Large Language Models (LLMs) and allow for monitoring of use (these tools are also available to our customers). By establishing guidelines, policies, and safeguards, organizations can create an environment where AI tools can be used safely.

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Cprime

MARCH 6, 2024

It combines the power of private, secure large language models (LLMs) with advanced code generation capabilities and an intuitive user interface exceeding any available functionality from the limited-scope and disconnected offerings available in the market.

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Cprime

APRIL 16, 2024

As large language models (LLMs) evolve at a breakneck speed, their capabilities expand, opening new horizons for applications that were once considered futuristic. The trajectory of LLMs and Gen AI technologies suggests a future where the complexity and power of these models grow exponentially.

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Cprime

JANUARY 23, 2024

Additionally, many enterprises are now exploring the use of private LLMs to mitigate the data security and privacy risks associated with employee use of external third-party LLMs. Regular policy reviews and tabletop exercises to stress-test AI policy frameworks ensure long-term awareness and preparedness for potential problems.

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Cprime

MARCH 12, 2024

Not only are the AIs thoroughly educated on the various coding languages, best practices, and DevOps protocols; they’re also tied to massive large language models (LLMs) and GenAI engines, making them easy to communicate with and capable of generating wholly new solutions and recommendations in seconds.

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Dataversity

MAY 9, 2024

The power of generative AI (GenAI) seems to have no limits. Every day, we see new barriers being broken and new use cases that no one thought possible. And yet, I can’t help but notice that most of these advances we’re hearing about revolve mostly around content creation.

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Innovation 189

Dataversity

MAY 13, 2024

At a recent presentation for a local post-secondary institution, I fielded a number of questions related to the use of language, primarily English language texts, as training data for generative AI. There were questions around cultural impacts and related ethical concerns.

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Data Governance Data Quality Government 147

Domo

MAY 24, 2023

Domo’s AI Service Layer makes it easy for users to manage, deploy, and optimize AI and ML models—including Large Language Models (LLMs)—so they can get the most out of their data experiences. Although these LLMs have significant power, enterprise use cases are still nascent compared to the outcomes driving the hype cycle.

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Cprime

JANUARY 25, 2024

The vision we sell is one of a future-proof AI ecosystem that may include a blend of public and private LLMs, connectors to your internal data sources, and potentially on-site services. However, to simplify the initial adoption phase, we utilize a VPC approach, ensuring an easy and accessible start.

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Dataversity

OCTOBER 2, 2023

I’m Mark Horseman and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. Read last month’s column here.) This month we’re talking about the current demand for master data management (MDM). What is MDM?

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Dataversity

JUNE 29, 2023

ChatGPT, the conversational chatbot released by OpenAI in November, garnered 100 million users in just two months, making it the fastest-growing consumer app in Internet history. But the technology that underpins ChatGPT is relevant and appealing to businesses as well.

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Artificial Intelligence 246