AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. However, bringing such solutions and models to the business-as-usual operations is not an easy task. The following figure illustrates the topics we discuss.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

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AWS Machine Learning Blog

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 Blog

MAY 15, 2024

With that goal, Amazon Ads has used artificial intelligence (AI), applied science, and analytics to help its customers drive desired business outcomes for nearly two decades. This blog post shares more about how generative AI solutions from Amazon Ads help brands create more visually rich consumer experiences.

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Dataconomy

MAY 11, 2023

Palm 2 is a newer model than GPT4, and it has been trained on a larger dataset of text and code. In addition, PaLM 2 is open source, which means that it is available to anyone to use and improve. This means that Google is well-positioned to develop and improve PaLM 2, and to use it to create new and innovative products and services.

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Heartbeat

MAY 29, 2023

LLMs are one of the most exciting advancements in natural language processing (NLP). LLMs are one of the most exciting advancements in natural language processing (NLP). LLMs are trained on massive amounts of text data, allowing them to generate highly accurate predictions and responses.

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AWS Machine Learning Blog

APRIL 25, 2024

Organizations across industries are using automatic text summarization to more efficiently handle vast amounts of information and make better decisions. Media companies use summarization to monitor news and social media so journalists can quickly write stories on developing issues.

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AWS Machine Learning Blog

NOVEMBER 24, 2023

In today’s ever-evolving world of ecommerce, the influence of a compelling product description cannot be overstated. The manual creation of these descriptions across a vast array of products is a labor-intensive process, and it can slow down the velocity of new innovation.

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services.

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Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries. Several businesses have found success by adopting AI to boost productivity, streamline operations, and improve the customer service they provide.

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Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries. Several businesses have found success by adopting AI to boost productivity, streamline operations, and improve the customer service they provide.

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AWS Machine Learning Blog

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

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Dataconomy

JULY 18, 2023

In this blog post, we delve deep into the world of WormGPT alternatives, exploring both the dangerous implications of its malicious use and the potential for benign applications without limitations. It is one of the best WormGPT alternatives that you can use. In short AutoGPT uses GPT-4 and GPT-3.5

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Cambridge Intelligence

JANUARY 30, 2024

This blog post explores the evolving role of enterprise fraud management, examines the impact of AI and showcases the importance of visual data analysis. An effective EFM strategy monitors information across silos, and combines data from customers, applications, products and transactions to identify fraudulent activity.

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AWS Machine Learning Blog

MARCH 4, 2024

Alida helps the world’s biggest brands create highly engaged research communities to gather feedback that fuels better customer experiences and product innovation. The models often only captured surface-level topics and sentiment, and missed crucial context that would allow for more accurate and meaningful insights.

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phData

JUNE 7, 2023

In Short It is clear that AI is being used to power up businesses now more than ever, and companies that don’t use AI risk being outcompeted by those who do. The best AI-powered products are fueled by a diverse collection of high-quality data. Note : This section is long but important.

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AWS Machine Learning Blog

DECEMBER 21, 2023

Rapid innovation and improvement in generative AI has captured our mind and attention and as per McKinsey & Company’s estimate , applying generative AI to customer care functions could increase productivity at a value ranging from 30–45% of current function costs.

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The MLOps Blog

JULY 18, 2023

Every episode is focused on one specific ML topic, and during this one, we talked to Jason Falks about deploying conversational AI products to production. Today, we have Jason Flaks with us, and we’ll be talking about deploying conversational AI products to production. Hi, Jason, and welcome. Sabine: Awesome.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

“Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured data. Amazon Comprehend custom classification can be useful in this situation.

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DrivenData Labs

DECEMBER 10, 2023

We are inspired by the prototypes the teams made and look forward to using AI-based research assistants to multiply NASA’s work in safe, secure, responsive and powerful ways. It can be an arduous task, and it is a real skill to master the art of literature review, one that researchers hone throughout their careers.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Leading AI companies like Anthropic have selected AWS as their primary cloud provider for mission-critical workloads, and the place to train their future models. The bottom layer is the infrastructure to train Large Language Models (LLMs) and other Foundation Models (FMs) and produce inferences or predictions.

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Iguazio

APRIL 24, 2024

LLM capabilities like contextual understanding and response to natural language prompts enable the development of applications like automated AI chatbots , smart call center apps , or for financial services. In the end, we explain how MLOps can help accelerate the process and bring these models to production.

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AWS Machine Learning Blog

JANUARY 17, 2024

Using AWS Trainium and Inferentia based instances, through SageMaker, can help users lower fine-tuning costs by up to 50%, and lower deployment costs by 4.7x, while lowering per token latency. Llama 2 is an auto-regressive generative text language model that uses an optimized transformer architecture.

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The MLOps Blog

JUNE 5, 2023

3 How can language models complement MLOps? 5 How are startups and companies already leveraging LLMs to ship products fast? Prior to Tecton, he worked as a Solutions Engineer at Determined AI and as a Product Manager for the ML Platform at Ford Motor Companies. David: Thank you.

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