TechEmpower CTO

OCTOBER 9, 2023

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.

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AWS Machine Learning - AI

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

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Cloudera

AUGUST 28, 2023

The release of ChatGPT pushed the interest in and expectations of Large Language Model based use cases to record heights. Every company is looking to experiment, qualify and eventually release LLM based services to improve their internal operations and to level up their interactions with their users and customers.

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CIO

NOVEMBER 20, 2023

Now they’re eyeing a next-phase opportunity—relying on machine intelligence to handle complex decisions. “If Instead of waiting on hold or navigating through phone menus, customers can instantly get answers from a virtual agent that is far more engaging and knowledgeable than past generations of chatbots.

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AWS Machine Learning - AI

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. When summarizing healthcare texts, pre-trained LLMs do not always achieve optimal performance.

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AWS Machine Learning - AI

MAY 30, 2024

Hosting large language models Vitech explored the option of hosting Large Language Models (LLMs) models using Amazon Sagemaker. Vitech needed a fully managed and secure experience to host LLMs and eliminate the undifferentiated heavy lifting associated with hosting 3P models.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. This method allows you to enhance the model’s performance by providing labeled examples associated with a particular task.

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AWS Machine Learning - AI

MARCH 28, 2024

With the advancements being made with LLMs like the Mixtral-8x7B Instruct , derivative of architectures such as the mixture of experts (MoE) , customers are continuously looking for ways to improve the performance and accuracy of generative AI applications while allowing them to effectively use a wider range of closed and open source models.

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AWS Machine Learning - AI

MAY 14, 2024

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. These models are pre-trained on massive datasets and, to sometimes fine-tuned with smaller sets of more task specific data.

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TechCrunch

JUNE 28, 2022

Launched in 2021, Heyday is designed to automatically save web pages and pull in content from cloud apps, resurfacing the content alongside search engine results and curating it into a knowledge base. Investors include Spark Capital, which led a $6.5 million seed round in the company that closed today. For every piece of content (e.g.,

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AWS Machine Learning - AI

MAY 9, 2024

Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. The Approach When building an interactive agent with large language models (LLMs), there are often two techniques that can be used: RAG and fine-tuning.

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AWS Machine Learning - AI

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests.

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AWS Machine Learning - AI

APRIL 8, 2024

Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model.

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CIO

JUNE 13, 2023

Only last month ServiceNow rolled out its first generative AI tools: the ServiceNow Generative AI Controller for connecting large language models (LLMs) to its software automation platform, and Now Assist for Search, which uses those LLMs and an enterprise’s own data to generate natural language responses to queries made in a virtual agent.

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AWS Machine Learning - AI

MAY 7, 2024

A more efficient way to manage meeting summaries is to create them automatically at the end of a call through the use of generative artificial intelligence (AI) and speech-to-text technologies. The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub.

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AWS Machine Learning - AI

MAY 30, 2024

Organizations across media and entertainment, advertising, social media, education, and other sectors require efficient solutions to extract information from videos and apply flexible evaluations based on their policies. Generative artificial intelligence (AI) has unlocked fresh opportunities for these use cases.

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AWS Machine Learning - AI

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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AWS Machine Learning - AI

NOVEMBER 22, 2023

In addition, customers are looking for choices to select the most performant and cost-effective machine learning (ML) model and the ability to perform necessary customization (fine-tuning) to fit their business use cases. Through this training, LLMs acquire and store factual knowledge.

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AWS Machine Learning - AI

NOVEMBER 27, 2023

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential. read HTML).

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John Snow Labs

SEPTEMBER 26, 2023

to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” of data science teams have implemented LLM applications currently in use by their own or client companies. billion by the end of 2030.

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AWS Machine Learning - AI

MAY 7, 2024

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. Although much of the current excitement is around LLMs for generative AI tasks, many of the key use cases that you might want to solve have not fundamentally changed.

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AWS Machine Learning - AI

DECEMBER 22, 2023

This blog is co-written with Josh Reini, Shayak Sen and Anupam Datta from TruEra Amazon SageMaker JumpStart provides a variety of pretrained foundation models such as Llama-2 and Mistal 7B that can be quickly deployed to an endpoint. TruLens evaluations use an abstraction of feedback functions.

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AWS Machine Learning - AI

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

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AWS Machine Learning - AI

MARCH 19, 2024

In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations and boosts productivity. The end-user can start chatting with their time series data in Amazon S3 by sending a natural language query to the Streamlit app.

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AWS Machine Learning - AI

FEBRUARY 28, 2024

The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language. With the emergence of large language models (LLMs), NLP-based SQL generation has undergone a significant transformation. on Amazon Bedrock as our LLM.

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CIO

FEBRUARY 21, 2024

As a result, it is best to choose a Knowledge Graph when the organization needs a powerful tool for structuring complex data in an interconnected network that facilitates data representation and traces the relationships and lineage between the data points. The LLM can say, ‘My answer came from these triples or this subgraph.'”

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AWS Machine Learning - AI

NOVEMBER 26, 2023

Businesses can overcome this challenge efficiently while also providing personalized customer service by taking advantage of advancements in generative AI powered by large language models (LLMs). If the LLM is able to provide a value upon slot retry, the user can continue with the conversation as normal.

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Xebia

MAY 2, 2023

SlackGPT not only tackles these limitations but also gives our colleagues a unique experience when working with and building modern LLM applications. This will provide our colleagues with enhanced performance as new models are released. But also, enhanced privacy as we move to self-hosted models for example.

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Samanage

JUNE 6, 2019

AI and Machine Learning for Businesses. After all, artificial intelligence (AI) and machine learning have been put to work by tech industry-leading companies and other forward-thinking organizations for more than a decade. In fact, machine learning for businesses is more than just a contemporary gadget.

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CIO

MARCH 6, 2024

Banking on AI Kavin Mistry, head of digital marketing and personalization at TSB Bank, is another executive exploring how AI and machine learning (ML) can boost CX. The company’s customers can use an interface called expereoOne to analyze global network performance, and Elms is keen to bolster CX efforts further with AI.

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Perficient

DECEMBER 12, 2023

Last week, Google announced Gemini , its groundbreaking multimodal AI model designed to push the boundaries of performance and versatility in AI technology. It’s also the most flexible AI model yet – it can run on everything from data centers to mobile devices, making it ideal for developers and customers to build and scale with AI.

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OpenCredo

FEBRUARY 6, 2024

I don’t think it is possible to have not heard about the excitement around Large Language Models (LLMs) over the last year or so. Our Use Case The use case we chose for our experimentation was to have a chat app that we could ask for information about a group of people, based on their CVs.

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CIO

JULY 6, 2023

But adding artificial intelligence (AI) to the mix is where an even bigger payoff can come. AI tends to broaden the reach and impact of automation, taking on activities that cannot be performed solely through automation.” Develop an automated capability to encourage and recommend AI-enablement for your bots,” Austin says.

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AWS Machine Learning - AI

MARCH 14, 2024

Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work. Launched in 2017, Amazon SageMaker is a fully managed service that makes it straightforward to build, train, and deploy ML models.

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CIO

JANUARY 22, 2024

This approach evolved with the emergence of AI and machine learning, requiring constant adjustments as models learned from new data. To learn more, visit us here. Artificial Intelligence Companies that excel in managing their data in this context are poised to lead the AI revolution.

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Altexsoft

FEBRUARY 5, 2020

In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. You can choose from two approaches to enabling the next best action: rule-based or machine learning-based recommendations.

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CIO

OCTOBER 25, 2022

Operations that force development teams to jump from software to software to perform tasks create a complicated testing environment that can slow processes and create a disconnect between teams and departments. Manual testing also creates barriers to optimizing DevOps.

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