AWS Machine Learning Blog

FEBRUARY 19, 2024

They can understand conversational language and respond naturally. However, chatbots that merely answer basic questions have limited utility. One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems.

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Hacker News

AUGUST 3, 2023

The exploding popularity of conversational AI tools has also raised serious concerns about AI safety. Much of current AI research aims to design LLMs that seek helpful, truthful, and harmless behavior. RLHF as Human Preference Tuning RLHF is about teaching an AI model to understand human values and preferences.

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IBM Journey to AI blog

FEBRUARY 9, 2024

2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world. 2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world.

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Iguazio

JANUARY 22, 2024

Across the industry, organizations are attempting to find ways to implement generative AI in their business and operations. In this blog post, we show all the elements and practices you need to to take to productize LLMs and generative AI. GenAI / Generative AI - The methods used to generate content with algorithms.

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DrivenData Labs

DECEMBER 10, 2023

We are very interested in how AI-based research assistants can help NASA, and we received a diverse variety of cutting-edge AI approaches from around the globe in the Research Rovers challenge. McLarney, Digital Transformation Lead for Artificial Intelligence and Machine Learning, NASA Background ¶ Information overload is real.

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AWS Machine Learning Blog

APRIL 26, 2024

Today, we are excited to announce that the DBRX model , an open, general-purpose large language model (LLM) developed by Databricks , is available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. The model underwent pre-training using a dataset consisting of 12 trillion tokens of text and code.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

However, their training on massive datasets also limits their usefulness for specialized tasks. By sourcing context-relevant data, the model can provide informed, up-to-date responses tailored to your use case. By sourcing context-relevant data, the model can provide informed, up-to-date responses tailored to your use case.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code Open Source), and RStudio. Both JupyterLab and Code Editor can be launched using a flexible workspace called Spaces.

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Chatbots Life

MAY 12, 2023

How ChatGPT really works and will it change the field of IT and AI? — a Unfortunately, the model’s release wasn’t accompanied by a research paper, and its only official description can be found on the OpenAI blog. The second part of the article discusses the possible use cases of ChatGPT and their impact on respected industries.

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IBM Journey to AI blog

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances.

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AWS Machine Learning Blog

MARCH 28, 2024

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. The following diagram illustrates the architecture of this solution.

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Heartbeat

NOVEMBER 27, 2023

Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Training and Learning from Data Deep learning models are trained on large labeled datasets of medical images to learn the relationships between input images and their corresponding annotations.

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Heartbeat

DECEMBER 28, 2023

The Magical World of Edge AI and Federated Learning: Unleashing the Power of Smart Devices and Protecting Data Privacy Hello there, tech enthusiasts! Welcome to Edge AI and Federated Learning, where machines transform into intelligent partners, making instantaneous choices.

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The MLOps Blog

MAY 10, 2023

Saving vs Storing vs Packaging ML Models | Source: Author Saving a model refers to the process of saving the model’s parameters, weights, etc., It is crucial to save, store, and package these models for their future use and deployment to production. Reusability & reproducibility: Building ML models is time-consuming by nature.

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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. But how do you take the first steps toward implementing AI?

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AWS Machine Learning Blog

AUGUST 15, 2023

Generative AI, particularly in the realm of natural language processing and understanding (NLP and NLU), has revolutionized the way we comprehend and analyze text, enabling us to gain deeper insights efficiently and at scale. According to a study, by 2021, videos already make up 81% of all consumer internet traffic.

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AWS Machine Learning Blog

MAY 2, 2023

JumpStart provides many pre-trained language models called foundation models that can help you perform tasks such as article summarization, question answering, and conversation generation and image generation. LLMs can store factual knowledge by training their parameters on a large corpus of natural language data.

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Heartbeat

AUGUST 23, 2023

image source: stoodnt Time is important in the broad domain of legal discovery, where mountains of documents hide the answers to difficult cases. Every minute spent digesting jargon-filled texts and searching through mountains of legal documents delays justice and incurs significant costs.

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Heartbeat

FEBRUARY 27, 2023

Gaming: DRL has been used to develop AI agents that can compete in video games as well as chess and other games. Photo by Markus Spiske on Unsplash Deep learning has grown in importance as a focus of artificial intelligence research and development in recent years. A diagram of how a GAN works.

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AWS Machine Learning Blog

AUGUST 14, 2023

This is useful where limited labeled data is available for training. Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. You can also access the foundation models thru Amazon SageMaker Studio.

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phData

JULY 18, 2023

As an AI and data analytics consulting company, phData is on a mission to become the world leader in delivering data services and products on a modern data platform. As an AI and data analytics consulting company, phData is on a mission to become the world leader in delivering data services and products on a modern data platform.

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The MLOps Blog

MARCH 21, 2023

This guide is a result of my conversations with platform and ML engineers and public resources from platform engineers in companies like Shopify , Lyft , Instacart , and StitchFix. Moving across the typical machine learning lifecycle can be a nightmare. To do that, you’d need to take a systematic approach to MLOps —enter platforms!

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AWS Machine Learning Blog

NOVEMBER 10, 2023

On top of using HPO as a one-time optimization at the end of the model creation cycle, we can also use it across multiple steps in a conversational manner. We can revise the hyperparameters and their value ranges based on what we learned and therefore turn this optimization effort into a conversation.

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Heartbeat

MARCH 15, 2023

An open-source machine learning model called BERT was developed by Google in 2018 for NLP, but this model had some limitations, and due to this, a modified BERT model called RoBERTa (Robustly Optimized BERT Pre-Training Approach) was developed by the team at Facebook in the year 2019. What is RoBERTa?

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Mlearning.ai

MARCH 2, 2023

This blog post promises to be easier to understand than the underlying research paper, especially for readers not that familiar with the field. The paper has had a major impact on the field of NLP, and some of its findings are still being applied to current language models. Importance of Understanding BERT Today II. 1 Architecture III.2

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