Flipboard

APRIL 4, 2023

The standard cells are then collected into clusters to help speed up the training process. In January 2022, they released an open-source version, Circuit Training, on GitHub. According to press reports , its leader Satarjit Chatterjee, repeatedly undermined Mirhoseini and Goldie personally and was fired for it in 2022.

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Hacker News

JUNE 27, 2023

For example, on a commercially available cluster of 3,584 H100 GPUs co-developed by startup Inflection AI and operated by CoreWeave , a cloud service provider specializing in GPU-accelerated workloads, the system completed the massive GPT-3-based training benchmark in less than eleven minutes.

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Google Research AI blog

DECEMBER 14, 2022

This feature is powered by Google's new speaker diarization system named Turn-to-Diarize , which was first presented at ICASSP 2022. It also reduces the total number of embeddings to be clustered, thus making the clustering step less expensive. It significantly improves the readability and usability of the recording transcripts.

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Clustering Algorithm Machine Learning Machine Learning 59

AWS Machine Learning Blog

FEBRUARY 1, 2023

In late 2022, AWS announced the general availability of Amazon EC2 Trn1 instances powered by AWS Trainium —a purpose-built machine learning (ML) accelerator optimized to provide a high-performance, cost-effective, and massively scalable platform for training deep learning models in the cloud.

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Flipboard

JUNE 20, 2023

For reference, GPT-3, an earlier generation LLM has 175 billion parameters and requires months of non-stop training on a cluster of thousands of accelerated processors. The Carbontracker study estimates that training GPT-3 from scratch may emit up to 85 metric tons of CO2 equivalent, using clusters of specialized hardware accelerators.

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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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Clustering Exploratory Data Analysis Data Scientist Data Analysis 98

ODSC - Open Data Science

OCTOBER 18, 2023

billion in 2022, an increase of 21.3% The process begins with a careful observation of customer data and an assessment of whether there are naturally formed clusters in the data. It continues with the selection of a clustering algorithm and the fine-tuning of a model to create clusters.

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Machine Learning Machine Learning Clustering Data Science 52

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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ML ML Machine Learning Machine Learning 52

Cambridge Intelligence

JUNE 28, 2023

Day 1 of Le Loop: a hilly 182km starting and finishing at Bilbao, Spain Through custom filtering, styling and grouping techniques, I’ll use different Tour de France datasets to explore the history, legends, nationalities, locations and exciting 2022 finale in a visual way, finding insights in hidden connections.

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Clustering Data Visualization 52

Flipboard

APRIL 6, 2023

Of course, h ow this translates to computation time depends on the speed and scale of the system doing the computation; Anthropic implies (in the deck) it relies on clusters with “tens of thousands of GPUs.” “These models could begin to automate large portions of the economy,” the pitch deck reads.

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Google Research AI blog

FEBRUARY 10, 2023

In 2022, we continued this journey, and advanced the state-of-the-art in several related areas. We continued our efforts in developing new algorithms for handling large datasets in various areas, including unsupervised and semi-supervised learning , graph-based learning , clustering , and large-scale optimization.

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Algorithm Clustering ML ML 110

Hacker News

MARCH 12, 2024

Marking a major investment in Meta’s AI future, we are announcing two 24k GPU clusters. We use this cluster design for Llama 3 training. We built these clusters on top of Grand Teton , OpenRack , and PyTorch and continue to push open innovation across the industry. The other cluster features an NVIDIA Quantum2 InfiniBand fabric.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. NLP Cloud Platforms Cloud-based services are the norm in 2022, this leads to a few service providers becoming increasingly popular.

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Deep Learning Deep Learning Data Science Natural Language Processing 111

Pickl AI

DECEMBER 14, 2023

In 2022, around 97% of the companies invested in Big Data and 91% of them invested in AI, clearly stamping that data is becoming the linchpin for successful business. Cluster Analysis It involves grouping similar data points based on certain characteristics.

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Data Analysis Data Analysis Decision Trees Clustering 52

Pickl AI

SEPTEMBER 3, 2023

CAGR during 2022-2030. Density-Based Spatial Clustering of Applications with Noise (DBSCAN): DBSCAN is a density-based clustering algorithm. It identifies regions of high data point density as clusters and flags points with low densities as anomalies. Billion which is supposed to increase by 35.6%

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Machine Learning Machine Learning K-nearest Neighbors Algorithm 52

Google Research AI blog

FEBRUARY 28, 2023

In 2022, we expanded our research interactions and programs to faculty and students across Latin America , which included grants to women in computer science in Ecuador. See some of the datasets and tools we released in 2022 listed below. We work towards inclusive goals and work across the globe to achieve them.

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ML ML Deep Learning Deep Learning 72

Defined.ai blog

OCTOBER 9, 2022

The average cost of a data breach was $4.35M in 2022 , and it took an average of 277 days for a company to identify and contain a breach. from 2022 to 2030. Clustering saves serious time in data analysis by grouping together similar and/or related data, revealing when there are patterns of unique activity and behavior.

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Artificial Intelligence Artificial Intelligence ML ML 52

ODSC - Open Data Science

APRIL 25, 2023

For this post, I selected AI collaboration data for 2022. Node sizes indicate the degree of collaboration, while node colors represent clusters of authors based on their collaborative patterns. Each publication is assigned to one or more countries based on the affiliations of its authors.

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Data Science AI AI Algorithm 52

Snorkel AI

SEPTEMBER 20, 2023

The introduction of ChatGPT in November 2022 upended the AI landscape. For example, if a data team wants to use an LLM to examine financial documents—something the model may perform poorly on out of the box—the team can fine-tune it on something like the Financial Documents Clustering data set.

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Data Science Artificial Intelligence Artificial Intelligence Database 59

AWS Machine Learning Blog

MARCH 30, 2023

This style of play is also evident when you look at the ball recovery times for the first 24 match days in the 2022/23 season. Let’s look at certain games played by Cologne in the 2022/23 season. As already mentioned, FC Cologne has been the league leader in the number of pressing situations since Steffen Baumgart took office.

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AWS Machine Learning Machine Learning Apache Kafka 72

Flipboard

APRIL 11, 2023

In 2022, security wasn’t in the news as often as it was in 2020 and 2021. Some alternatives have appeared, including managed Kubernetes, where you delegate management of your cluster to a third party, typically your cloud provider; HashiCorp’s Nomad ; K3S , a lightweight Kubernetes; and even some older tools like Docker Swarm.

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Database Python Clustering SQL 134

Heartbeat

NOVEMBER 17, 2023

clustering, matching) can dictate the best metric. from langchain.evaluation import RegexMatchStringEvaluator evaluator = RegexMatchStringEvaluator() evaluator.evaluate_strings( prediction="The date is 2022-01-01", reference="The date is 2022-01-01" ) # {'score': 1} # Check for the presence of a MM-DD-YYYY string.

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Algorithm Deep Learning Deep Learning Data Scientist 52

IBM Journey to AI blog

DECEMBER 20, 2023

The most common unsupervised learning method is cluster analysis, which uses clustering algorithms to categorize data points according to value similarity (as in customer segmentation or anomaly detection ). K-means clustering is commonly used for market segmentation, document clustering, image segmentation and image compression.

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Machine Learning Machine Learning Supervised Learning Clustering 83

PyImageSearch

JUNE 19, 2023

Each service uses unique techniques and algorithms to analyze user data and provide recommendations that keep us returning for more. Figure 1: Distribution of applications of recommendation systems (source: Ko et al., This lesson is designed to give readers a comprehensive understanding of how various tools (e.g., This is described in Table 1.

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K-nearest Neighbors Clustering Algorithm Deep Learning 56

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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Internet of Things Azure AWS Cloud Computing 156

Google Research AI blog

NOVEMBER 28, 2022

Posted by Cat Armato, Program Manager, Google This week marks the beginning of the 36th annual Conference on Neural Information Processing Systems ( NeurIPS 2022 ), the biggest machine learning conference of the year.

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Machine Learning Machine Learning Clustering Algorithm 52

phData

MAY 12, 2023

.” This is where you might think about data clustering to increase throughput and decrease latency for your queries. In this blog, we will explore the option of data clustering. What is Clustering Data in Snowflake? A simple example would be to cluster on a date or timestamp column. snowflake_sample_data.tpch_sf100.lineitem)

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Clustering Database Data Warehouse Analytics 64

NYU Center for Data Science

DECEMBER 7, 2022

The NLP Community Survey , which asks many of these questions and more, was conducted from May to June 2022. And this is especially concerning for academics who don’t have access to big compute clusters or budgets. What Do NLP Researchers Believe?

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Machine Learning Machine Learning Data Science Clustering 52

Data Science Dojo

MAY 3, 2023

Clustered Indexes : have ordered files and built on non-unique columns. You may only build a single Primary or Clustered index on a table. A new librarian, hired in 2022, decided to reorder books by their year number and subject. Primary Indexes : have ordered files and built on unique columns.

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Python Clustering SQL Data Science 369

Explosion

NOVEMBER 28, 2023

We’re also currently testing in beta, Prodigy Teams , our hybrid cloud SaaS product that works on top of Prodigy with enhanced features for collaboration while preserving scriptability and data privacy by keeping your data and models hosted on your private cluster.

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Python Algorithm Clustering Machine Learning 78

AWS Machine Learning Blog

NOVEMBER 3, 2023

We analyzed around 215 matches from the Bundesliga 2022–2023 season. Simultaneously, the shot speed data finds its way to a designated topic within our MSK cluster. Calculating maximum speed – With a clean velocity curve in hand, we then calculate the maximum speed the ball reaches during its flight. fast shots.

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AWS Apache Kafka Data Scientist Algorithm 91

Flipboard

FEBRUARY 16, 2023

Modern model pre-training often calls for larger cluster deployment to reduce time and cost. In October 2022, we launched Amazon EC2 Trn1 Instances , powered by AWS Trainium , which is the second generation machine learning accelerator designed by AWS. We use Slurm as the cluster management and job scheduling system.

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Clustering AWS Deep Learning Deep Learning 106

Towards AI

APRIL 7, 2024

2022) Zero-Shot Chain-of-Thought Another idea of “Zero Shot CoT” was introduced by Kojima et al. 2022 where, instead of adding examples for Few Shot CoT, we just add “Let’s think step by step” to the prompt. 2022) introduced Auto-COT. Source : Wei et al. This is a manual process and introduces subjectivity.

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Clustering Machine Learning Machine Learning AI 92

AWS Machine Learning Blog

MAY 31, 2023

With containers, scaling on a cluster becomes much easier. In late 2022, AWS announced the general availability of Amazon EC2 Trn1 instances powered by AWS Trainium accelerators, which are purpose built for high-performance deep learning training. On the Amazon ECS console, choose Clusters in the navigation pane. Choose Create.

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AWS Machine Learning Machine Learning Clustering 78

AWS Machine Learning Blog

MAY 10, 2023

To help simplify the process of moving from interactive notebooks to batch jobs, in December 2022, Amazon SageMaker Studio and Studio Lab introduced the capability to run notebooks as scheduled jobs, using notebook-based workflows.

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AWS Machine Learning Blog

APRIL 19, 2023

Then we needed to Dockerize the application, write a deployment YAML file, deploy the gRPC server to our Kubernetes cluster, and make sure it’s reliable and auto scalable. Conclusion Sportradar’s product built on the DJL solution went live before the 2022–23 NFL regular season started, and it has been running smoothly since then.

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ML ML Deep Learning Deep Learning 75

Google Research AI blog

FEBRUARY 15, 2023

In “ FriendlyCore: Practical Differentially Private Aggregation ”, presented at ICML 2022 , we introduce a general framework for computing differentially private aggregations. Clustering and other applications Other applications of our aggregation method are clustering and learning the covariance matrix of a Gaussian distribution.

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