AWS Machine Learning Blog

JANUARY 30, 2025

By combining the advanced NLP capabilities of Amazon Bedrock with thoughtful prompt engineering, the team created a dynamic, data-driven, and equitable solution demonstrating the transformative potential of large language models (LLMs) in the social impact domain.

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ODSC - Open Data Science

MARCH 25, 2025

Chatbots, virtual assistants, and AI-powered customer service tools such as ChatGPT, Claude, and Google Gemini are now mainstream. They assist with research, automate responses, and enhance customer engagement. AI-assisted coding tools (52%) are widely used for software development, debugging, and automation.

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AWS Machine Learning Blog

FEBRUARY 20, 2025

Through advanced analytics, software, research, and industry expertise across more than 20 countries, Verisk helps build resilience for individuals, communities, and businesses. The company is committed to ethical and responsible AI development with human oversight and transparency.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. They’re illustrated in the following figure.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Large language models (LLMs) excel at generating human-like text but face a critical challenge: hallucinationproducing responses that sound convincing but are factually incorrect. About the Authors Dheer Toprani is a System Development Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team.

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NVIDIA

OCTOBER 2, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users. Local vs. Cloud Brave’s Leo AI can run in the cloud or locally on a PC through Ollama.

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ODSC - Open Data Science

FEBRUARY 15, 2024

Large language models have taken the world by storm, offering impressive capabilities in natural language processing. However, while these models are powerful, they can often benefit from fine-tuning or additional training to optimize performance for specific tasks or domains.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

As you browse the re:Invent catalog , select your learning topic and use the “Generative AI” area of interest tag to find the sessions most relevant to you. Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices.

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Unite.AI

AUGUST 8, 2024

Most organizations today want to utilize large language models (LLMs) and implement proof of concepts and artificial intelligence (AI) agents to optimize costs within their business processes and deliver new and creative user experiences. More LLMs and agents increase the attack surface for all AI threats.

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IBM Journey to AI blog

DECEMBER 14, 2023

Another year has passed—it felt like the whole world was talking about and trying out tools powered by generative AI and Large Language Models (LLMs). IBM introduced watsonx as the AI and data platform built for business. IBM introduced watsonx as the AI and data platform built for business.

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Marktechpost

SEPTEMBER 12, 2024

OpenAI has once again pushed the boundaries of AI with the release of OpenAI Strawberry o1 , a large language model (LLM) designed specifically for complex reasoning tasks. OpenAI o1 represents a significant leap in AI’s ability to reason, think critically, and improve performance through reinforcement learning.

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NVIDIA

DECEMBER 26, 2023

Among tech’s top podcasts, the AI Podcast has racked up more than 200 episodes and nearly 5 million total plays since its debut in 2016. Here are five episodes that drew tens of thousands of listeners in 2023: Gen AI Enables Scientific Leaps The AI Podcast · Anima Anandkumar on Using Generative AI to Tackle Global Challenges – Ep.

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NVIDIA

JANUARY 6, 2025

NVIDIA Cosmos , a platform for accelerating physical AI development, introduces a family of world foundation models neural networks that can predict and generate physics-aware videos of the future state of a virtual environment to help developers build next-generation robots and autonomous vehicles (AVs).

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AWS Machine Learning Blog

MARCH 20, 2025

Amazon Bedrock also allows you to choose various models for different use cases, making it an obvious choice for the solution due to its flexibility. Using Amazon Bedrock allows for iteration of the solution using knowledge bases for simple storage and access of call transcripts as well as guardrails for building responsible AI applications.

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Marktechpost

JULY 8, 2024

The ability to automate and assist in coding has the potential to transform software development, making it faster and more efficient. However, ensuring these models produce helpful and secure code is the challenge. Check out the Paper. All credit for this research goes to the researchers of this project.

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AWS Machine Learning Blog

MARCH 27, 2024

In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance.

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning Blog

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. This blog post outlines various use cases where we’re using generative AI to address digital publishing challenges.

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Heartbeat

FEBRUARY 29, 2024

The software development landscape is constantly evolving, driven by technological advancements and the ever-growing demands of the digital age. Over the years, we’ve witnessed significant milestones in programming languages, each bringing about transformative changes in how we write code and build software systems.

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AWS Machine Learning Blog

MAY 9, 2024

Through advanced analytics, software, research, and industry expertise across over 20 countries, Verisk helps build resilience for individuals, communities, and businesses. The company is committed to ethical and responsible AI development, with human oversight and transparency. He holds an M.S.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Full stack generative AI Although a lot of the excitement around generative AI focuses on the models, a complete solution involves people, skills, and tools from several domains. Consider the following picture, which is an AWS view of the a16z emerging application stack for large language models (LLMs).

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Topbots

JULY 29, 2024

These courses are designed with a strong practical focus, ensuring that you gain real-world skills needed to build applications powered by large language models (LLMs). Most of these courses are available for free, making it easier than ever to dive into the world of generative AI. The best part?

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Google Research AI blog

JANUARY 18, 2023

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. Performance comparison between the PaLM 540B parameter model and the prior state-of-the-art (SOTA) on 58 tasks from the Big-bench suite.

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AWS Machine Learning Blog

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

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ODSC - Open Data Science

JANUARY 10, 2024

The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.

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AWS Machine Learning Blog

JULY 10, 2024

Imagine this—all employees relying on generative artificial intelligence (AI) to get their work done faster, every task becoming less mundane and more innovative, and every application providing a more useful, personal, and engaging experience. That’s why we’re building generative AI-powered applications for everyone.

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AWS Machine Learning Blog

JULY 15, 2024

Amazon Translate supports over 75 languages. While the landscape of large language models (LLMs) has continuously evolved in the past year and continues to change, many of the trending LLMs support a smaller set of languages. Cloud Engineer specializing in developing cloud native solutions and automation.

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ODSC - Open Data Science

SEPTEMBER 8, 2023

Building a ChatGPT-Powered and Voice-Enabled Assistant using React and Express In this post, we’ll walk through how to build a simple chatbot powered by the ChatGPT language model (in this case GPT-35-Turbo). US Copyright Office Open to Public Opinion on AI and Copyright Starting on August 30th. Catch this flash sale ASAP!

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AWS Machine Learning Blog

JULY 18, 2024

By using the power of large language models (LLMs), Mend.io has been at the forefront of integrating AI and machine learning (ML) capabilities into its operations. streamlined the analysis of over 70,000 vulnerabilities, automating a process that would have been nearly impossible to accomplish manually.

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Flipboard

APRIL 13, 2023

To give a sense for the change in scale, the largest pre-trained model in 2019 was 330M parameters. Now, the largest models are more than 500B parameters—a 1,600x increase in size in just a few years. Today’s FMs, such as the large language models (LLMs) GPT3.5

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AWS Machine Learning Blog

AUGUST 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

To do this, we’re investing and rapidly innovating to provide the most comprehensive set of capabilities across the three layers of the generative AI stack. 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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AWS Machine Learning Blog

JUNE 25, 2024

Large language models (LLMs) have transformed the way we engage with and process natural language. These powerful models can understand, generate, and analyze text, unlocking a wide range of possibilities across various domains and industries. This provides an automated deployment experience on your AWS account.

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AWS Machine Learning Blog

JUNE 3, 2024

Amazon Bedrock is a fully managed service that provides access to a range of high-performing foundation models from leading AI companies through a single API. It offers the capabilities needed to build generative AI applications with security, privacy, and responsible AI. Victor Wang is a Sr.

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ODSC - Open Data Science

SEPTEMBER 28, 2023

How In-Person Training at ODSC West Can Give Your Team the Edge Here are a few reasons why in-person training can give your team the edge in the ever-growing AI landscape. 10 Trending Topics Coming to ODSC West 2023 With topics like monitoring drift, AI in gaming, and LLMs, these are a few trending topics coming to ODSC West in a few weeks.

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The MLOps Blog

MARCH 21, 2023

Version control for code is common in software development, and the problem is mostly solved. However, machine learning needs more because so many things can change, from the data to the code to the model parameters and other metadata. Model serving. Responsible AI and explainability.

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AWS Machine Learning Blog

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. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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