AWS Machine Learning Blog

FEBRUARY 13, 2024

This has two issues: It requires additional manpower, weight stickers, and repeated training for the in-store operational team as they scale. The BigBasket team was running open source, in-house ML algorithms for computer vision object recognition to power AI-enabled checkout at their Fresho (physical) stores.

AWS 96

AWS AI AI ML 96

Hacker News

SEPTEMBER 12, 2023

In B2B, it normally takes two years to start feeling product-market fit Here’s an overview of how long it took 24 of today’s top B2B startups to get to (1) a live product, (2) their first customer, and (3) their first feeling of PMF: The median time from idea to feeling product-market fit was roughly 2 years.

Analytics 144

Analytics Analytics Data Analyst 144

The MLOps Blog

DECEMBER 28, 2022

Building ML team Following the surge in ML use cases that have the potential to transform business, the leaders are making a significant investment in ML collaboration, building teams that can deliver the promise of machine learning. There is no golden rule on how to build successful ML teams.

ML 78

ML ML Data Scientist Machine Learning 78

Tableau

AUGUST 9, 2021

Getting feedback directly from the Tableau Community is one of the most important aspects in developing new capabilities across the Tableau platform. For us, customer-focused innovation means leaning into that magical intersection where our big vision meets your concrete experiences and challenges. In our latest Tableau 2021.2

Tableau 70

Tableau Analytics Analytics 70

Hacker News

MAY 23, 2024

At least a dozen patriotic Russian hacking groups have been launching DDoS attacks since the start of the war at a variety of targets seen as opposed to Moscow. That program allows NoName to commandeer the host computers and their Internet connections in coordinated DDoS campaigns, and DDoSia users with the most attacks can win cash prizes.

156

156

The MLOps Blog

MARCH 21, 2023

To do that, you’d need to take a systematic approach to MLOps —enter platforms! Machine learning platforms are increasingly looking to be the “fix” to successfully consolidate all the components of MLOps from development to production. But here’s the catch: understanding what makes a platform successful and building it is no easy feat.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Tableau

SEPTEMBER 23, 2021

This will set you up to solve the big problems with the greatest impact for most employees. Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . where would “better data governance” land on your list?

Data Governance 91

Data Governance Analytics Analytics Tableau 91

Tableau

SEPTEMBER 23, 2021

This will set you up to solve the big problems with the greatest impact for most employees. Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . where would “better data governance” land on your list?

Data Governance 79

Data Governance Analytics Analytics Tableau 79

ODSC - Open Data Science

APRIL 21, 2023

Come and see what the experts create as they seek to create something truly unique while using the latest tools and platforms as they push the limits of generative AI to win prizes and gain recognition in the community. Are you interested in participating? Present your innovative solution to both a live audience and a panel of judges.

AI 52

AI AI Azure Algorithm 52

Flipboard

MARCH 6, 2023

Since then, the tech world has been waiting for the next big invention (some are still bullish it could be Web3 or AR/VR). An image autogenerated by DALL-E, OpenAI’s text-to-image tool, when given the instructions to make: “an image of someone sitting behind a computer and creating musical notes, art, and code. It’s going to kill us all.

AI 123

AI AI Artificial Intelligence Artificial Intelligence 123

Snorkel AI

AUGUST 17, 2023

Let’s get started. Generative artificial intelligence models offer a wealth of capabilities. They can write poems, recite common knowledge, and extract information from submitted text. These pipelines are not ready for production deployment, but they can lay the groundwork for more robust, effective, and cost-effective models.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 17, 2023

Let’s get started. Generative artificial intelligence models offer a wealth of capabilities. They can write poems, recite common knowledge, and extract information from submitted text. These pipelines are not ready for production deployment, but they can lay the groundwork for more robust, effective, and cost-effective models.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

SEPTEMBER 6, 2023

You can easily try out these models and use them with SageMaker JumpStart, which is a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Today, we are excited to announce the capability to fine-tune Llama 2 models by Meta using Amazon SageMaker JumpStart.

ML 94

ML ML Machine Learning Machine Learning 94

Heartbeat

NOVEMBER 10, 2023

Photo by Nik on Unsplash The LangChain Expression Language (LCEL) is a pivotal addition to the LangChain toolkit, designed to enhance the efficiency and flexibility of text processing tasks. This guide provides an in-depth overview of LCEL’s capabilities, from its initial setup to its advanced functionalities.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing ML 52