IBM Big Data Hub

JULY 19, 2023

In this blog post, we will showcase how IBM Consulting is partnering with AWS and leveraging Large Language Models (LLMs), on IBM Consulting’s generative AI-Automation platform (ATOM), to create industry-aware, life sciences domain-trained foundation models to generate first drafts of the narrative documents, with an aim to assist human teams.

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IBM Big Data Hub

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. Proprietary LLMs are owned by a company and can only be used by customers that purchase a license.

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Ontotext

SEPTEMBER 7, 2023

We’re so used to relational databases, where we have this nice little ordered table, but what if you have more than one data source? Most likely, anybody we’re talking to has multiple data sources. So now you bring data together to have information, not just a bunch of different data points. Is that correct to say?

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Cloudera

SEPTEMBER 7, 2023

That said, Generative AI and LLMs appear to do all of these things, producing original, “creative” outputs by learning from input data. The reality of LLMs and other “narrow” AI technologies is that none of them is turn-key. Deploy a hybrid data platform.

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O'Reilly on Data

MARCH 23, 2023

ChatGPT, or something built on ChatGPT, or something that’s like ChatGPT, has been in the news almost constantly since ChatGPT was opened to the public in November 2022. is one of a class of language models that are sometimes called “large language models” (LLMs)—though that term isn’t very helpful. GPT-2 is open source.

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O'Reilly on Data

JULY 25, 2023

So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming. Or even if you haven’t yet, then you’ve at least heard about these tools in your newsfeed over the past year. and how to fix it.

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Cloudera

APRIL 27, 2023

Lost in the talk about OpenAI is the tremendous amount of compute needed to train and fine-tune LLMs, like GPT, and Generative AI, like ChatGPT. In the blog we will cover how Ray can be used in Cloudera Machine Learning’s open-by-design architecture to bring fast distributed AI compute to CDP.

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Cloudera

DECEMBER 20, 2023

Businesses increasingly recognize AI solutions as critical differentiators in competitive markets and are ready to invest heavily to streamline their operations, improve customer experiences, and boost top-line growth. We see AI applications like chatbots being built on top of closed-source or open source foundational models.

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AWS Big Data

JUNE 21, 2023

OpenSearch is a scalable, flexible, and extensible open-source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0 With the rise of generative LLMs, application developers are looking for ways to take advantage of this innovative technology.

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IBM Big Data Hub

FEBRUARY 9, 2024

2023 saw an explosion of increasingly efficient foundation models with open licenses, beginning with the launch of Meta’s LlaMa family of large language models (LLMs) and followed by the likes of StableLM, Falcon, Mistral, and Llama 2. DeepFloyd and Stable Diffusion have achieved relative parity with leading proprietary models.

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