ODSC - Open Data Science

JANUARY 29, 2024

This skill focuses on minimizing the resources and time required for an LLM to generate output based on your prompts. This enhances the context awareness and factual accuracy of LLM outputs. Sagemaker: Provides a cloud-based platform for fine-tuning and deploying LLM models, simplifying workflow and resource management.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Dataconomy

SEPTEMBER 22, 2023

Almost everyone in or around the business world is now aware of the importance of the correct use of data. Traditional data indexing methods often rely on manual tagging or basic keyword searches, which can be time-consuming and prone to errors.

Clustering 185

Clustering Algorithm Data Classification Machine Learning 185

AWS Machine Learning Blog

NOVEMBER 22, 2023

Building a production-ready solution in the cloud involves a series of trade-off between resources, time, customer expectation, and business outcome. A cost-optimized workload fully utilizes all resources, achieves an outcome at the lowest possible price point, and meets your functional requirements.

AWS 81

AWS ML ML Machine Learning 81

AWS Machine Learning Blog

MAY 15, 2024

Before creating the questions - Analyze the book found between tags, to identify distinct chapters, sections, or themes for question generation. - We recommend using temporary credentials with the AWS CLI to make programmatic requests for AWS resources using the AWS CLI. Let’s start with a git pull on the repo.

AWS 87

AWS AI AI Artificial Intelligence 87

The MLOps Blog

JANUARY 25, 2023

When you start working on a language model, you generally prefer a pre-trained model as you might not have enough data and resources to train it from scratch. For example, “I love being ignored” may be tagged as a negative example, and “I can be very ambitious” can be tagged as a positive example.

Natural Language Processing 52

Natural Language Processing ML ML Deep Learning 52

Explosion

JANUARY 29, 2023

Use these resources to jump-start your experiments with coref , and let us know how you go on the discussion forum ! we started using logits during inference, which resulted in speedups of 27% when using a tagging + parsing pipeline. In spaCy v3.3, We’ve also added support for spaCy v3.4 for English, German and Polish in the v1.3.0

Python 59

Python Data Scientist Machine Learning Machine Learning 59

Becoming Human

MAY 12, 2023

We have all experienced the transformation AI has brought to our lives, but is our awareness of the real art and science behind this new-age technology accurate? In-house Image Annotation The process of in-house image annotation involves tagging or labeling images with relevant metadata so that they can be retrieved and searched more easily.

Machine Learning 81

Machine Learning Machine Learning AI AI 81

Towards AI

AUGUST 17, 2023

While this approach offers resource independence, isolation, better security, access, and billing boundaries, it also comes with its own set of issues. Optimized Storage: Environments such as production only need to store promoted image versions, reducing clutter and optimizing resource usage. Source: Image by the author.

AWS 93

AWS Clustering AI AI 93

Smart Data Collective

NOVEMBER 6, 2019

When used effectively, it can lower operational costs and utilize resources in a more effective manner. You can also use keyword and hashtag research to help you identify trending terms and tags you should be using in your posts to draw the most attention. Data helps to drive every industry now. legal cannabis market was valued at $11.9

Big Data 48

Big Data Big Data Algorithm Analytics 48

Heartbeat

JULY 11, 2023

NLP can also identify relationships between different pieces of content, enabling marketers to categorize and tag their content more effectively. We are aware of the importance of using customer research to inform your content strategy. We’re committed to supporting and inspiring developers and engineers from all walks of life.

Natural Language Processing 40

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 40

Dataconomy

JULY 14, 2023

Sensors are often used in Machine to Machine applications because they can collect data in real time RFID tags : RFID tags are devices that can be used to identify and track objects. RFID tags can be attached to objects in order to collect data about their location, movement, and status.

Cloud Computing 91

Cloud Computing Machine Learning Machine Learning Internet of Things 91

IBM Journey to AI blog

APRIL 18, 2024

While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag. Large tech companies and research labs are pouring resources into its development, with various schools of thought tackling the challenge of achieving true human-level intelligence in machines.

AI 95

AI AI Computer Science Computer Science 95

Smart Data Collective

FEBRUARY 3, 2022

For those not aware of Docker, let’s understand Docker first. You can skip this section if you are already aware of Docker. Doing so helps in interoperability and utilization of resources as well as isolation of environments. No More Need of Heavy Resources. Data Science applications are resource extensive.

Data Science 119

Data Science Data Scientist Big Data Big Data 119

AWS Machine Learning Blog

JANUARY 9, 2024

In a channel, users can ask it questions in a new message, or tag it in an existing thread at any point, to provide additional data points, resolve a debate, or summarize the conversation and capture the next steps. This deletes the resources that you created by deploying the solution. Solution overview Amazon Q is amazingly powerful.

AWS 107

AWS AI AI Artificial Intelligence 107

AWS Machine Learning Blog

SEPTEMBER 28, 2023

Therefore, the policies should be country and geo aware, to ensure compliance across changing regulatory environments across locales. This transparency allows users to manage their AI resource usage effectively, ensuring optimal utilization and preventing resource waste.

AI 96

AI AI AWS ML 96

Mlearning.ai

SEPTEMBER 2, 2023

This means that even if you’re sharing the physical resources of a server, your website has its own dedicated resources, ensuring consistent performance. Dedicated Resources: Unlike shared hosting, where resources are divided among all users, VPS Hosting allocates a fixed amount of resources to each user.

Clustering 52

Clustering Database AI AI 52

Mlearning.ai

MAY 31, 2023

It involves techniques such as tokenization, part-of-speech tagging, named entity recognition, and sentiment analysis. Install the NLTK library, which provides a wide range of NLP functionalities, and download the required resources. These techniques form the foundation for building intelligent chatbots.

Python 98

Python Natural Language Processing Algorithm AI 98

AWS Machine Learning Blog

DECEMBER 14, 2023

We introduce the concept of Spaces and explain how JupyterLab Spaces enable flexible customization of compute, storage, and runtime resources to improve your ML workflow efficiency. In this post, we take a closer look at the updated SageMaker Studio and its JupyterLab IDE, designed to boost the productivity of ML developers.

ML 97

ML ML AI AI 97

AWS Machine Learning Blog

MAY 30, 2023

It enables building and operating cost-aware systems that minimize costs, maximize return on investment, and achieve business outcomes. It allows you to filter and group by values such as AWS service, usage type, cost allocation tags, EC2 instance type, and more. Tagging A tag is a label that you assign to an AWS resource.

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AWS ML ML Machine Learning 64

Mlearning.ai

DECEMBER 21, 2023

The Challenge Make LLMs respond with up-to-date information Make LLMs not respond with factually inaccurate information Make LLMs aware of proprietary information Providing Context While model re-training/fine-tuning/reinforcement learning are options that solve the aforementioned challenges, these approaches are time-consuming and costly.

Database 94

Database AI AI Machine Learning 94

Snorkel AI

OCTOBER 12, 2023

Of course, this impedes commercialization since most companies lack vast human and computational resources. The DataComp benchmark consists of multiple scales, which facilitate the study of scaling trends and make the benchmark accessible to researchers with varying resources.

AI 64

AI AI ML ML 64

Flipboard

DECEMBER 6, 2023

It quickly became obvious that this approach is resource intensive with many non-trivial steps, such as data preprocessing, training, and evaluation. For the query generation, and to generate accurate SQL, Q4 needed to make the LLM fully context aware of their dataset structure.

SQL 130

SQL Database AWS Machine Learning 130

Snorkel AI

OCTOBER 12, 2023

Of course, this impedes commercialization since most companies lack vast human and computational resources. The DataComp benchmark consists of multiple scales, which facilitate the study of scaling trends and make the benchmark accessible to researchers with varying resources.

AI 59

AI AI ML ML 59

Heartbeat

DECEMBER 27, 2023

In computing, virtualization creates a virtual copy of a physical IT infrastructure and resources such as hardware, application storage, network, desktop/Operating system (OS), data, CPU/GPU, and simulates functionality. Containerization is more portable, resource-efficient, and scalable than VMs. What is Docker?

Machine Learning 52

Machine Learning Machine Learning Python ML 52

Alation

APRIL 4, 2023

Making sense of that data is enormously challenging because these resources are often divorced from their context and full history. Context empowers them to quickly find and understand data within Alation – understand potential breaking changes to upstream resources, and communicate transformations more effectively.

DataOps 52

DataOps Data Engineering Data Engineer Data Engineering 52

Chatbots Life

SEPTEMBER 11, 2023

This valuable resource is intended to assist Python developers, language technologists, and individuals seeking to enhance the quality of their written communication. By harnessing the power of NLP techniques, our spell and grammar checker seeks to provide users with a more accurate and context-aware error detection and correction experience.

Natural Language Processing 59

Natural Language Processing Python ML ML 59

ODSC - Open Data Science

FEBRUARY 14, 2023

Another challenge is the computational resources required to train and fine-tune these models, which can be expensive and time-consuming. AI writing tools can be beneficial, but it’s important for web publishers to be aware if the content they are publishing is authentic.” With this in mind, I have enabled Originality.AI

Database 124

Database AI AI Natural Language Processing 124

Heartbeat

JANUARY 25, 2023

For example “I love being ignored” seems to be a positive text but the rule-based approach may tag it as a negative sentiment which is why ML-based sentiment analysis is more popular across the industry. One thing that you must be aware of is thatML/DL models cannot be trained on common language, such as text of made up of sentences.

Python 52

Python Deep Learning Deep Learning ML 52

Hacker News

DECEMBER 3, 2023

And that's precisely what this 185th blog post tagging HIBP is - the noteworthy things of the years past, including a few things I've never discussed publicly before. And now, a 10th birthday blog post about what really sticks out a decade later. You know why it's called "Have I Been Pwned"? ."

AWS 182

AWS 182

The MLOps Blog

JANUARY 5, 2023

There are certain situations where using other means of technology like NFC tags and writing down whatever is being used now is not practical, for whatever reason, and we have the technology now, or we hope to advance this technology to the level that we will be able to identify animals on an individual level from a single or multiple pictures.

Machine Learning 52

Machine Learning Machine Learning Database ML 52

Alation

JANUARY 25, 2022

But social extends even further; it includes the comments users make, assets they flag as favorites, the watches they set on assets, who they tag and how, and their level of expertise. These two resources can help you get started: White paper: How to Evaluate a Data Catalog. Social signals around data are powerful.

DataOps 52

DataOps SQL ML ML 52

The MLOps Blog

OCTOBER 3, 2023

Resources that can help bridge the technical gap Aurimas: I also have a very similar background. They just need to kind of tag things like “Hey, by the way, we’re using these data sources. Trying to break out the type of the resource that’s being created as well. And usually, the answer is “yes, you can.”

ML 52

ML ML Data Scientist Machine Learning 52

Explosion

JUNE 18, 2021

How implement models ML fundamentals training and evaluation improve accuracy use library APIs Python and DevOps What when to use ML decide what models and components to train understand what application will use outputs for find best trade-offs select resources and libraries The “how” is everything that helps you execute the plan.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Clustering 52

AWS Machine Learning Blog

JANUARY 25, 2024

In a channel, users can ask Amazon Q business expert questions in a new message, or tag it in an existing thread at any point, to provide additional data points, resolve a debate, or summarize the conversation and capture the next steps. This deletes the resources that you created by deploying the solution.

AWS 114

AWS Azure AI AI 114

Heartbeat

FEBRUARY 29, 2024

A set of tags is used to structure content on the Internet. Tags are like containers that wrap various elements, defining their structure and appearance on a web page. The header contains metadata such as the page title and links to external resources. HTML Tags Tags are the heart of HTML. <img>: Images. <ul>,

Python 52

Python Deep Learning Deep Learning Data Quality 52

Precisely

JANUARY 31, 2023

Marketers are well aware of the possibilities, taking advantage of aggregated and anonymized human mobility data to track visitation and travel trends, tailor marketing messages, and enhance consumers’ shopping experiences. With IoT sensors and geospatial mapping, those trash collection resources can be used more efficiently.

Machine Learning 52

Machine Learning Machine Learning ML ML 52