Dlabs.ai

AUGUST 21, 2023

The ascent of large language models, particularly GPT, has marked one of the standout tech trends this year. Don’t jump on the latest tech bandwagon just for the sake of it. Companies must be wary about data privacy, especially in sectors where sensitive data, like health or personal information, is prevalent.

Large Language Models 98

Large Language Models Automation AI Modeling AI 98

Viso.ai

APRIL 25, 2024

We’ve split the lightweight models into four different categories: face recognition, healthcare, traffic, and general-purpose machine learning models. By easily integrating into existing tech stacks, Viso Suite makes it easy to automate inefficient and expensive processes. They tested their deep learning model on the M-Health dataset.

Computer Vision 52

Computer Vision Deep Learning Convolutional Neural Networks Python 52

O'Reilly Media

APRIL 23, 2024

Attention is all you need What is the source of big tech market power? Instead of continuing to deploy their attention optimization algorithms for their users’ and suppliers’ benefit, the tech giants began to use them to favor themselves. Cory Doctorow calls this the “enshittification” of Big Tech platforms. It’s not our data.

BERT 108

BERT Algorithm AI AI 108

Mlearning.ai

MARCH 24, 2023

AI Act — EU attempts to tame the tech dragon. Accountability EU AI Act: A Risk Based Approach The risk-based approach of the EU Commission’s AI Act draft refers to the way in which the regulation categorizes different types of AI systems according to their potential risks to human health, safety, and fundamental rights.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Categorization Explainability 52

Flipboard

MAY 16, 2023

. “The company mission is to develop the safest artificial health g eneral intelligence in order to dramatically improve healthcare accessibility and health outcomes.” Babylon Health , an AI startup backed by the U.K.’s “In the pandemic, labor costs went up 30% for most health systems, but revenue didn’t.

Large Language Models 169

Large Language Models OpenAI Explainability LLM 169

AWS Machine Learning Blog

FEBRUARY 5, 2024

HSR.health is a geospatial health risk analytics firm whose vision is that global health challenges are solvable through human ingenuity and the focused and accurate application of data analytics. This is a guest post co-authored by Ajay K Gupta, Jean Felipe Teotonio and Paul A Churchyard from HSR.health.

ML 86

ML Machine Learning Software Engineer Python 86

Unite.AI

SEPTEMBER 14, 2023

The high requirement to effectively train an AI model is the reason why major tech organizations and development teams often store a large amount of data to train their models for the best possible results and performance.

AI 319

AI AI Algorithm AI Modeling 319

AI Weekly

APRIL 4, 2024

But Artifact’s underlying tech for categorizing, curating, and personalizing content will soon start to show up on Yahoo. But Artifact’s underlying tech for categorizing, curating, and personalizing content will soon start to show up on Yahoo. Combing through 35,000 job categories in U.S. thestar.com.my thestar.com.my

Neural Network 146

Neural Network Robotics Large Language Models Artificial Intelligence 146

AWS Machine Learning Blog

AUGUST 11, 2023

For example, a language model that has beed trained to understand human language can be used to classify New Year’s resolutions tweets on multiple classes like career , health , and finance , without the language model being explicitly trained on the text classification task.

Natural Language Processing 75

Natural Language Processing NLP Python Machine Learning 75

Topbots

DECEMBER 19, 2023

In less than 16,000 waking hours leading up to their fourth birthday, they manage to learn over 1,000 object categories, master the syntax of their native language, and absorb the cultural and social nuances of their environment. The main idea is to use insights from adaptive data analysis.

Computer Vision 52

Computer Vision Natural Language Processing AI Researcher AI Research 52

ODSC - Open Data Science

OCTOBER 27, 2023

Figure 1: Phases of Intelligent Document Processing Document Classification A common challenge when dealing with large amounts of documents is identifying the documents, sorting them into categories, and then further processing them. The core idea behind this phase is automating the categorization or classification using AI.

IDP 98

IDP LLM Large Language Models AI 98

The MLOps Blog

OCTOBER 3, 2023

I was working as a data scientist, mentoring at two boot camps, and working on a real estate tech startup on the weekends. I started from tech, my first job was an internship at Google as a software engineer. But a lot of medical companies in the US, for example, are under HIPAA, which is for medical and health companies.

ML 52

ML Data Scientist Machine Learning Data Science 52

The MLOps Blog

JANUARY 23, 2023

Most of our customers are doing ML/MLOps at a reasonable scale, NOT at the hyperscale of big-tech FAANG companies. Automating health checks. And when we speak about continuous monitoring, it is basically automated monitoring of various ML health checks. Do you even have a real need to set up those health checks?

DevOps 59

DevOps Metadata Software Engineer Data Scientist 59

AWS Machine Learning Blog

OCTOBER 10, 2023

There are two major categories of FL depending on the client type: cross-device and cross-silo. In healthcare, FL has been used to predict mortality of hospitalized patients based on electronic health records from multiple hospitals. He founded Indigo Capital Management and co-founded adaptiveARC, focusing on green energy tech.

ML 96

ML Algorithm Machine Learning Neural Network 96

AI Impacts

DECEMBER 22, 2022

Halting categories of work until strong confidence in its safety is possible, e.g. as would occur if AI researchers agreed that certain systems posed catastrophic risks and should not be developed until they did not. We might accidentally make them due to error, but there is not some deep economic force pulling us to make them.

AI 130

AI AI AI Researcher AI Research 130

Snorkel AI

JUNE 22, 2023

It’s a superset of everything tied to building models, but things that are tied to building some category of a model—whether that’s an econometric model, whether that’s a machine learning model, which is the largest share of those projects. All of this reinforces the importance of data-centric tooling.

Data Quality 52

Data Quality Automation Data Scientist ML 52

Snorkel AI

JUNE 22, 2023

It’s a superset of everything tied to building models, but things that are tied to building some category of a model—whether that’s an econometric model, whether that’s a machine learning model, which is the largest share of those projects. All of this reinforces the importance of data-centric tooling.

Data Quality 52

Data Quality Automation Data Scientist ML 52

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. Check out the documentation to get started.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

Sebastian Ruder

NOVEMBER 14, 2022

Recent Progress Recent progress in this area can be categorized into two categories: 1) new groups, communities, support structures, and initiatives that have enabled broader work; and 2) high-level research contributions such as new datasets and models that allow others to build on them. Joshi et al. [92] arXiv preprint arXiv:2206.10789.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics AI 52

Sebastian Ruder

DECEMBER 6, 2021

In the tutorial, we focus on two main categories of question answering studied in the literature: open-retrieval question answering (ORQA) and reading comprehension (RC). Existing datasets focus on tech forums such as TechQA ( Castelli et al., An emerging category of multilingual QA datasets is multilingual common sense reasoning.

BERT 52

BERT NLP Natural Language Processing Computational Linguistics 52

The MLOps Blog

MAY 9, 2023

Some monitoring components also monitor the pipeline’s operational efficiency, including: pipeline health, API calls, requests timeout, resource usage, and so on. This can make building new pipelines easier and quicker, debugging existing ones, and integrating them with other organizational tech services.

ML 98

ML Machine Learning Metadata Automation 98

Snorkel AI

SEPTEMBER 12, 2023

You should be thinking broadly, across a bunch of disciplines and categories, and you should have deep knowledge in at least two or three subjects. HIPAA [Health Insurance Portability and Accountability Act], for another example, is a confusing law or set of laws. The speed of change is too great. AR: I couldn’t agree more.

Data Scientist 59

Data Scientist Data Science AI Strategy Large Language Models 59

Snorkel AI

SEPTEMBER 12, 2023

You should be thinking broadly, across a bunch of disciplines and categories, and you should have deep knowledge in at least two or three subjects. HIPAA [Health Insurance Portability and Accountability Act], for another example, is a confusing law or set of laws. The speed of change is too great. AR: I couldn’t agree more.

Data Scientist 59

Data Scientist Data Science AI Strategy Large Language Models 59

Flipboard

AUGUST 1, 2023

One category of proposals deals with how AI systems interface with existing rules around copyright, privacy, and bias based on race, gender, sexual orientation, and disability. Notably, NIST does not have any regulatory powers and cannot compel tech companies to do anything.) Think of it more like AI ethics rather than AI safety.

Explainability 119

Explainability Artificial Intelligence Artificial Intelligence AI 119