Flipboard

APRIL 6, 2023

AI research startup Anthropic aims to raise as much as $5 billion over the next two years to take on rival OpenAI and enter over a dozen major industries, according to company documents obtained by TechCrunch. ” The Information reported in early March that Anthropic was seeking to raise $300 million at $4.1 billion. .”

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Hacker News

NOVEMBER 15, 2023

To understand the latest advance in generative AI , imagine a courtroom. The court clerk of AI is a process called retrieval-augmented generation, or RAG for short. Retrieval-augmented generation is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.

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AWS Machine Learning Blog

SEPTEMBER 4, 2024

ACK allows you to take advantage of managed model building pipelines without needing to define resources outside of the Kubernetes cluster. Prerequisites To follow along, you should have the following prerequisites: An EKS cluster where the ML pipeline will be created. kubectl for working with Kubernetes clusters.

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IBM Journey to AI blog

SEPTEMBER 13, 2023

Space AI leader Ubotica Technologies is partnering with IBM to leverage IBM cloud infrastructure and watsonx.ai With a single click, mutual customers will be able to securely deploy their AI models directly to satellites that use the Ubotica CogniSAT TM platform. Earth Observation companies collect many petabytes of data per day.

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AWS Machine Learning Blog

DECEMBER 22, 2023

As a result, machine learning practitioners must spend weeks of preparation to scale their LLM workloads to large clusters of GPUs. Aligning SMP with open source PyTorch Since its launch in 2020, SMP has enabled high-performance, large-scale training on SageMaker compute instances. To mitigate this problem, SMP v2.0

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AWS Machine Learning Blog

APRIL 5, 2024

Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020. SageMaker Processing enables the flexible scaling of compute clusters to accommodate tasks of varying sizes, from processing a single city block to managing planetary-scale workloads.

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Mlearning.ai

AUGUST 11, 2023

Authors of AntMan [1] propose a deep learning infrastructure, which is a co-design of cluster schedulers (e.g., Their motivation for this work was their observation on very low GPU utilization on Alibaba cluster. On the other hands, the second kind is for getting more out of the clusters. Kubernetes, SLURM, LSF etc.)

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DataRobot

DECEMBER 20, 2021

The value of AI these days is undeniable. AI technology is playing a massive part in the 4th industrial revolution and spread across most organizations. DataRobot Visual AI. In 2020, our team launched DataRobot Visual AI. What’s New In Visual AI. Our team worked hard to take Visual AI to the next level.

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Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Case-studies from real-life business scenarios and advice you can act on. Download the free, unabridged version here.

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Flipboard

APRIL 4, 2023

The crux of the clash was whether Google’s AI solution to one of chip design’s thornier problems was really better than humans or state-of-the-art algorithms. The standard cells are then collected into clusters to help speed up the training process. It was described by observers as a “trainwreck” and an “ambush”.

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AWS Machine Learning Blog

MAY 23, 2023

Just recently, generative AI applications have captured everyone’s attention and imagination. We are truly at an exciting inflection point in the widespread adoption of ML, and we believe every customer experience and application will be reinvented with generative AI.

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Ocean Protocol

SEPTEMBER 20, 2023

There were 4 clusters of users that this report broke down to understand the behavior and tendencies of different users. Cluster 2 : Swap Count : Extremely High (around 54,127 swaps on average) Volume in USD : Extremely High (around $4.43 Cluster 3 : Swap Count : Low (around 10 swaps on average) Volume in USD : Moderate (around $60.25

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Smart Data Collective

APRIL 8, 2020

In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago. AI and machine learning & Cloud-based solutions may drive future outlook for data warehousing market. The amount of data being generated globally is increasing at rapid rates.

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AWS Machine Learning Blog

JUNE 7, 2023

This blog post is co-written with Dr. Ebtesam Almazrouei, Executive Director–Acting Chief AI Researcher of the AI-Cross Center Unit and Project Lead for LLM Projects at TII. This impressive achievement reflects the UAE’s dedication to push the boundaries of AI innovation,” continues Dr. Almazrouei. “By

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ODSC - Open Data Science

FEBRUARY 20, 2025

Microsoft Research has introduced Muse, a generative AI model designed to support game development by generating both game visuals and controller actions. The model is trained on gameplay data from Bleeding Edge, a 2020 multiplayer game developed by NinjaTheory.

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Mlearning.ai

JANUARY 17, 2024

Each section of this story comprises a discussion of the topic plus a curated list of resources, sometimes containing sites with more lists of resources: 20+: What is Generative AI? 95x: Generative AI history 600+: Key Technological Concepts 2,350+: Models & Mediums — Text, Image, Video, Sound, Code, etc.

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Dataconomy

APRIL 26, 2023

The strategic value of IoT development and data analytics Sierra Wireless Sierra Wireless , a wireless communications equipment designer and service provider, has been honing its focus on IoT software and managed services following its acquisition of M2M Group, a cluster of companies dedicated to IoT connectivity, in 2020.

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Flipboard

MAY 29, 2025

This routine can be conducted at scale using an Amazon SageMaker AI processing job. If you need to generate embedding asynchronously, use a SageMaker AI processing or transform step. In this example, we use a SageMaker AI processing job with a custom Docker image for generating embeddings in batch.

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Flipboard

APRIL 11, 2023

In 2022, security wasn’t in the news as often as it was in 2020 and 2021. Lately, I’ve been reading about Pinecone DB , a vector database that looks like it will be a good match for AI applications. Ultimately, though, a bigger problem needs to be addressed: how do organizations keep their software updated with security patches?

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AssemblyAI

MARCH 7, 2023

We'll end with some notes about what this means for AI as a whole. The concept of emergence is quite incredible, but it is not relegated to the field of AI. A retort to this view is that, ultimately, we only care how AI performs on tasks that we as humans care about. Let's dive in! How much larger can we go?

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AssemblyAI

JULY 18, 2023

To build generative AI applications leveraging spoken data, product and development teams will need accurate speech to text as a critical component of their AI pipeline. We’re excited to see the innovative AI products built with the improved results from our Conformer-2 model. 5206-5210, doi: 10.1109/ICASSP.2015.7178964.

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Flipboard

NOVEMBER 24, 2023

Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. Amazon Bedrock is the easiest way to build and scale generative AI applications with foundation models (FMs). Using AI, AutoLink automatically identified and suggested potential matches.

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Mlearning.ai

APRIL 8, 2023

What is Natural Language Processing (NLP) Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that deals with interactions between computers and human languages. Additionally, Papers published by NVIDIA AI on efficiently pre-training models has really helped push the boundaries of efficiency and speed.

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AWS Machine Learning Blog

OCTOBER 30, 2024

These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval. For this demonstration, we use a public Amazon product dataset called Amazon Product Dataset 2020 from a kaggle competition.

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Defined.ai blog

OCTOBER 9, 2022

Fight sophisticated cyber attacks with AI and ML When “virtual” became the standard medium in early 2020 for business communications from board meetings to office happy hours, companies like Zoom found themselves hot in demand. There is also concern that attackers are using AI and ML technology to launch smarter, more advanced attacks.

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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. Its goal is to advance open, safe and responsible AI. Quite fascinating.

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AWS Machine Learning Blog

MAY 25, 2023

One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. Amazon Lex provides the framework for building AI based chatbots. RAG models were introduced by Lewis et al.

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Pickl AI

JULY 18, 2023

The AI domain is expanding and is actively penetrating across different business niches. Companies are actively deploying AI technologies to run their businesses smoothly. At the same time, they are also actively hiring professionals with AI expertise. Who is an AI Architect? from 2023 to 2030. Lakhs to ₹ 56.7

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

And finally, some activities, such as those involved with the latest advances in artificial intelligence (AI), are simply not practically possible, without hardware acceleration. The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference.

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Towards AI

FEBRUARY 11, 2025

Author(s): Richie Bachala Originally published on Towards AI. Beyond Scale: Data Quality for AI Infrastructure The trajectory of AI over the past decade has been driven largely by the scale of data available for training and the ability to process it with increasingly powerful compute & experimental models. The key insight?

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ODSC - Open Data Science

MAY 30, 2023

The year 2022 presented two significant turnarounds for tech: the first one is the immediate public visibility of generative AI due to ChatGPT. For example, rising interest rates and falling equities already in 2013 and again in 2020 and 2022 led to drawdowns of risk parity schemes.

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Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. First, “Selection via Proxy,” which appeared in ICLR 2020. I’m super excited to chat with you all today.

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Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. First, “Selection via Proxy,” which appeared in ICLR 2020. I’m super excited to chat with you all today.

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Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. First, “Selection via Proxy,” which appeared in ICLR 2020. I’m super excited to chat with you all today.

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Hacker News

JUNE 5, 2025

The handcuff has been a bit tarnished of late, however, with Google recently adding AI summaries to videos—which seems to indicate maybe Gemini is slurping up my content and using it in their AI models ? Your videos are good that way, not tempted to AI summarize yours. Having google gemini do it is very useful.

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AWS Machine Learning Blog

APRIL 19, 2024

This solution includes the following components: Amazon Titan Text Embeddings is a text embeddings model that converts natural language text, including single words, phrases, or even large documents, into numerical representations that can be used to power use cases such as search, personalization, and clustering based on semantic similarity.

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Mlearning.ai

OCTOBER 14, 2023

HPC clusters have been coming to the attention of people to do their training on them and they tend to use those major frameworks and target nodes with more than one GPU. arXiv preprint arXiv:2012.00825 (2020). [2] 2] [link] WRITER at MLearning.ai / AI Agents LLM / AI 3D ART / 80+ GPT4 V Mlearning.ai

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