AWS Machine Learning - AI

MAY 17, 2024

Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs).

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CIO

MARCH 7, 2024

Generative AI’s outputs still reflect a considerable amount of gender and sexuality based bias, associating feminine names with traditional gender roles, generating negative content about gay subjects, and more besides, according to a new report from UNESCO’s International Research Centre on Artificial Intelligence.

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Apiumhub

MAY 15, 2024

Artificial Intelligence 101 has become a transformative force in many areas of our society, redefining our lives, jobs, and perception of the world. AI involves the use of systems or machines designed to emulate human cognitive ability, including problem-solving and learning from previous experiences.

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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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Invid Group

MARCH 19, 2024

What Is Machine Learning Used For? By INVID With the rise of AI, the term “machine learning” has grown increasingly common in today’s digitally driven world, where it is frequently credited with being the impetus behind many technical breakthroughs. Let’s break it down. Take retail, for instance.

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Henrik Warne

MAY 19, 2020

I really enjoyed reading Artificial Intelligence – A Guide for Thinking Humans by Melanie Mitchell. The author is a professor of computer science and an artificial intelligence (AI) researcher. I don’t have any experience working with AI and machine learning (ML).

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AWS Machine Learning - AI

APRIL 24, 2024

In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning. To increase training samples for better learning, we also used another LLM to generate feedback scores.

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Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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TechCrunch

FEBRUARY 24, 2021

Aquarium , a startup from two former Cruise employees, wants to help companies refine their machine learning model data more easily and move the models into production faster. The idea is to get a model into production that outperforms humans. One customer Sterblue offers a good example. The Aquarium team.

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John Snow Labs

JUNE 27, 2023

Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. In this comprehensive overview, we will explore the definition, significance, and real-world applications of these game-changing models. What are Large Language Models (LLMs)?

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Xebia

JULY 19, 2023

Artificial Intelligence (AI) systems are becoming ubiquitous: from self-driving cars to risk assessments to large language models (LLMs). As we depend more on these systems, testing should be a top priority during deployment. This approach ensures precious buy-in.

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CIO

JULY 14, 2023

For generative AI, that’s complicated by the many options for refining and customising the services you can buy, and the work required to make a bought or built system into a useful, reliable, and responsible part of your organization’s workflow. So how do I coach my people to ask the right questions to get the best output?”

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CIO

AUGUST 1, 2023

The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. Define a game-changing LLM strategy At a recent Coffee with Digital Trailblazers I hosted, we discussed how generative AI and LLMs will impact every industry.

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AWS Machine Learning - AI

MAY 30, 2024

To serve their customers, Vitech maintains a repository of information that includes product documentation (user guides, standard operating procedures, runbooks), which is currently scattered across multiple internal platforms (for example, Confluence sites and SharePoint folders).

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CIO

SEPTEMBER 6, 2023

Since ChatGPT’s release in November of 2022, there have been countless conversations on the impact of similar large language models. Finding bugs and fixing them may be more challenging using AI as developers still need to carefully review any code AI produces. To learn more, visit us here.

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John Snow Labs

AUGUST 31, 2023

Clinical bias in LLM (Language Learning Models) refers to the unfair or unequal representation or treatment based on medical or clinical information. Such biases can arise due to the uneven representation of certain medical conditions, treatments, or patient profiles in the training data. Why LangTest?

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AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

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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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CIO

MAY 9, 2024

It might not be the best source of knowledge due to the potential for hallucinations , but more than being a knowledge engine, it helps us reason and inspires more critical and deeper thought. Example: Optimizing the production line efficiency and quality control processes in a manufacturing company would be mission critical.

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AWS Machine Learning - AI

MAY 2, 2024

As more powerful large language models (LLMs) are used to perform a variety of tasks with greater accuracy, the number of applications and services that are being built with generative artificial intelligence (AI) is also growing. Objective vs. subjective human feedback Not all human feedback is the same.

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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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TechCrunch

MAY 9, 2023

Anthropic , a startup that hopes to raise $5 billion over the next four years to train powerful text-generating AI systems like OpenAI’s ChatGPT , today peeled back the curtain on its approach to creating those systems. Because it’s often trained on questionable internet sources (e.g.

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CIO

DECEMBER 6, 2023

Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission. That could go badly wrong if, for example, someone shares details of a family illness or losing a pet.

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Exadel

JULY 6, 2022

Sophisticated, intelligent security systems and streamlined customer services are keys to business success. The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine Learning in Banking Statistics. New products and markets.

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AWS Machine Learning - AI

NOVEMBER 29, 2023

In the last few years Large Language Models (LLMs) have risen to prominence as outstanding tools capable of understanding, generating and manipulating text with unprecedented proficiency. An evaluation is a task used to measure the quality and responsibility of output of an LLM or generative AI service.

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AWS Machine Learning - AI

MARCH 28, 2024

If you’re implementing complex RAG applications into your daily tasks, you may encounter common challenges with your RAG systems such as inaccurate retrieval, increasing size and complexity of documents, and overflow of context, which can significantly impact the quality and reliability of generated answers. We use an ml.t3.medium

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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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CIO

AUGUST 11, 2023

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. Search engines, machine translation services, and voice assistants are all powered by the technology.

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CIO

DECEMBER 8, 2023

But as the numbers of new gen AI-powered chatbots grow, so do the risks of their occasional glitches—nonsensical or inaccurate outputs or answers that are not easily screened out of the large language models (LLMs) that the tools are trained on. In AI parlance, they’re called hallucinations. Security guardrails.

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Xebia

AUGUST 9, 2023

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. Table of Contents What is Machine Learning System Design? More about this later in this post.

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John Snow Labs

NOVEMBER 1, 2023

Gender-Occupational Stereotypes in LLMs Introduction In the realm of artificial intelligence and natural language processing, addressing bias and stereotypes is now a pressing concern. Language models, celebrated for their linguistic prowess, have faced scrutiny for perpetuating gender and occupational stereotypes.

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Hacker Earth Developers Blog

JULY 19, 2018

Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. trillion per annum from their less informed peers by 2020.” predicts Forrester Research.

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TechCrunch

AUGUST 17, 2023

Ramin Hasani’s TEDx talk at MIT is one of the best examples. Hasani is the Principal AI and Machine Learning Scientist at the Vanguard Group and a Research Affiliate at CSAIL MIT, and served as the paper’s lead author. A differential equation describes each node of that system,” the school explained last year.

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Hacker Earth Developers Blog

APRIL 12, 2023

The age of artificial intelligence is finally here. Let’s learn about the various uses of ChatGPT in hiring, how it is making manual work easy, and how it is scary and efficient at the same time. LLMs are typically built using neural networks and deep learning algorithms. What is ChatGPT?

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Netflix Tech

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns.

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CIO

MARCH 7, 2023

OpenAI’s text-generating ChatGPT, along with its image generation cousin DALL-E, are the most prominent among a series of large language models, also known as generative language models or generative AI, that have captured the public’s imagination over the last year. That’s incredibly powerful.”

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TechCrunch

MARCH 1, 2023

Companies can access Sesamm’s flagship product, TextReveal , via several conduits, including an API that brings Sesamm’s NLP engine into their own systems. Elsewhere, private equity firms can use Sesamm for due diligence on potential acquisition or investment targets.

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