Marktechpost

MAY 17, 2024

It can even pre-write emails to speed up communication with clients. Reonomy Discover CRE prospects and make data-driven decisions with Reonomy, powered by AI and ML. Some apps use artificial intelligence to help people choose their ideal homes, forecast real estate values, and even manage their real estate agencies.

AI Tools 98

AI Tools Artificial Intelligence Artificial Intelligence Natural Language Processing 98

Marktechpost

DECEMBER 10, 2023

Competitive programming, which is a tough evaluation of coding skills that requires competitors to write code solutions for complex issues in a limited amount of time, requires a great amount of critical thinking, logical reasoning, and a thorough comprehension of algorithms and coding concepts.

Artificial Intelligence 132

Artificial Intelligence Artificial Intelligence Large Language Models Algorithm 132

Unite.AI

JANUARY 1, 2024

As per eMarketer , Generative AI shows early adoption with a projected 100 million or more users in the USA alone within its first four years. For example, in data analysis, models like Google's BigQuery ML accelerate the process of extracting insights from large datasets. Let's explore its negative social impact: 1.

Generative AI 223

Generative AI AI AI Large Language Models 223

Google Research AI blog

JUNE 15, 2023

On-device ML inference in mobile environments requires meticulous performance optimization and consideration of trade-offs due to resource constraints. As discussed in our previous blog post , GPU-accelerated ML inference is often limited by memory performance, and execution of LDMs is no exception.

Inference Engine 92

Inference Engine ML Software Engineer Algorithm 92

AWS Machine Learning Blog

NOVEMBER 17, 2023

Amazon Rekognition Content Moderation , a capability of Amazon Rekognition , automates and streamlines image and video moderation workflows without requiring machine learning (ML) experience. Live stream platforms can use flexible rules to moderate visual content. This process involves the utilization of both ML and non-ML algorithms.

ML 83

ML Natural Language Processing Algorithm Computer Vision 83

Marktechpost

JULY 30, 2023

Grammarly Grammarly is a web-based writing tutor powered by artificial intelligence. Linguix To that end, Linguix has developed a free writing assistant application that can enhance the quality of content for millions of websites. It offers several distinct packages to meet a variety of requirements.

AI 97

AI AI Artificial Intelligence Artificial Intelligence 97

Towards AI

SEPTEMBER 10, 2023

I’ve passed many ML courses before, so that I can compare. I must confess that it’s easier for me to understand code after writing it for ages, even though I have a master’s degree in Maths. I must confess that it’s easier for me to understand code after writing it for ages, even though I have a master’s degree in Maths.

Deep Learning 110

Deep Learning Neural Network ML Computer Vision 110

John Snow Labs

MAY 25, 2023

Rule-based sentiment analysis in Natural Language Processing (NLP) is a method of sentiment analysis that uses a set of manually-defined rules to identify and extract subjective information from text data. You can see the differences between the rule-based approach and Machine Learning (ML) approach in the figure below.

NLP 52

NLP Machine Learning Neural Network ML 52

Unite.AI

AUGUST 25, 2023

After all, OpenAI’s ChatGPT reached 100 million users in the first two months , making it the fastest-growing consumer application adoption in history. Assisted Decision Making The main purpose of AI and ML in supply chains is to ease the decision-making process, offering the promise of increased speed and quality.

Generative AI 245

Generative AI AI AI ESG 245

Marktechpost

DECEMBER 11, 2023

Works like Chain of Thought, least-to-most, and ScratchPad have leveraged prompting to improve reasoning by breaking tasks down into intermediate steps or maintaining a trace of intermediate results.LMs trained on Github have been prompted to write and execute code, which helps solve complex questions involving numeric or symbolic reasoning.

Python 67

Python AI Researcher AI Research ML 67

Unite.AI

DECEMBER 1, 2023

Later, as an adult, I made my way back into computer science professionally via a job in consulting where I was tasked with writing scripts to do some basic analyses of the patent corpus. You first started and led the Snorkel open-source project while at Stanford, could you walk us through the journey of these early days?

Data Scientist 147

Data Scientist Auto-classification AI AI 147

Unite.AI

AUGUST 21, 2023

n8n The first tool on our list is n8n, a disruptive open-source contender in the realm of workflow automation tools. n8n The first tool on our list is n8n, a disruptive open-source contender in the realm of workflow automation tools. The solution? Workflow automation tools.

Automation 246

Automation Algorithm ML AI 246

AWS Machine Learning Blog

JUNE 19, 2023

Amazon SageMaker Studio is a web-based integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. For provisioning Studio in your AWS account and Region, you first need to create an Amazon SageMaker domain—a construct that encapsulates your ML environment.

IDP 68

IDP ML Automation Machine Learning 68

O'Reilly Media

JANUARY 17, 2023

A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. They’d say that the job involves writing some software, sure. This mindset has followed me into my work in ML/AI. But first, let’s talk about the typical ML workflow.

Automation 128

Automation Robotics Data Scientist Software Development 128

Mlearning.ai

FEBRUARY 16, 2023

How to effectively safeguard your ML experiments Photo by Clément Hélardot on Unsplash Many years ago… I was staring at my screen, scrutinizing every little wiggle on my Tensorboard. The validation accuracy would rise consistently for the first 30 epochs of training and then BAM! Something was off. It made no sense.

ML 52

ML Machine Learning Software Engineer Software Development 52

Marktechpost

JUNE 8, 2023

ReLM is the first solution that allows practitioners to directly measure LLM behavior over collections too vast to enumerate by describing a query as the whole set of test patterns. It is challenging to validate (and rectify) such worries because of LLMs’ intricacy and developing capabilities.

Large Language Models 107

Large Language Models LLM Inference Engine AI 107

Marktechpost

JULY 16, 2023

While DALLE 2 can create images responding to a simple textual description, GPT-3 can write an excellent essay, complete codes, summarize long textual paragraphs, answer questions like humans, and generate content given just a short natural language prompt. It integrates with the Hugging Face’s Transformers, OpenAI API, and Langchain.

Large Language Models 78

Large Language Models LLM Artificial Intelligence Artificial Intelligence 78

AWS Machine Learning Blog

MAY 16, 2024

Training pipeline and model deployment The model training and deployment phase consists of the following steps: After the training data is uploaded to Amazon S3, CodeBuild runs based on the rules specified in EventBridge. The preprocessing data is loaded into MongoDB, which is used as a feature store along with Amazon S3.

Deep Learning 88

Deep Learning Auto-complete Algorithm ML 88

AWS Machine Learning Blog

MAY 7, 2024

SageMaker JumpStart is a machine learning (ML) hub with foundation models (FMs), built-in algorithms, and prebuilt ML solutions that you can deploy with just a few clicks. At first glance, there might not be one best way to design a prompt, and different LLMs might work better or worse with different prompts.

Prompt Engineer 89

Prompt Engineer Prompt Engineering Large Language Models LLM 89

ODSC - Open Data Science

DECEMBER 28, 2023

Organizational Processes for Machine Learning Risk Management Organizational processes are a key nontechnical determinant of reliability in ML systems. Why You Need an Observability Platform The punishment for writing useful code is productionizing it. This writer used to write hacky scripts that were impossible to monitor.

Large Language Models 52

Large Language Models Python Data Science Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 9, 2023

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is essential for seamlessly bridging the gap between data science experimentation and deployment while meeting the requirements around model performance, security, and compliance.

Data Drift 94

Data Drift Auto-complete ML Automation 94

Flipboard

JULY 31, 2023

The Nuts & Bolts of AI Blog Writing Software If you’ve ever been perplexed by how your GPS predicts the fastest route or how Netflix always knows the perfect show to recommend next, you’re already somewhat familiar with the magic of AI. That’s where AI blog writing software steps in.

AI 92

AI AI Machine Learning Natural Language Processing 92

AWS Machine Learning Blog

OCTOBER 20, 2023

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries.

ML 95

ML Data Scientist ML Engineer Data Science 95

Towards AI

JUNE 24, 2023

The ’31 Questions that Shape Fortune 500 ML Strategy’ highlighted key questions to assess the maturity of an ML system. A robust ML platform offers managed solutions to easily address these aspects. For this series, I will be using SageMaker Studio, a fully managed ML & MLOps IDE. Source: Image by the author.

Data Scientist 85

Data Scientist Automation ML Data Quality 85

Snorkel AI

JUNE 14, 2023

Timo Mertens is the Head of ML and NLP Products at Grammarly. First, I’ll give a quick intro to how we think about communication assistance and what it actually means in our minds. Imagine you are at work and you’re writing a very important project proposal. A transcript of the talk follows.

Machine Learning 52

Machine Learning Natural Language Processing Data Scientist Computational Linguistics 52

Snorkel AI

JUNE 14, 2023

Timo Mertens is the Head of ML and NLP Products at Grammarly. First, I’ll give a quick intro to how we think about communication assistance and what it actually means in our minds. Imagine you are at work and you’re writing a very important project proposal. A transcript of the talk follows.

Machine Learning 52

Machine Learning Natural Language Processing Data Scientist Computational Linguistics 52

IBM Journey to AI blog

APRIL 18, 2024

A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work.

Neural Network 226

Neural Network LLM AI AI 226

AWS Machine Learning Blog

MAY 3, 2023

For any machine learning (ML) problem, the data scientist begins by working with data. Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.

Auto-classification 67

Auto-classification Auto-complete Machine Learning Metadata 67

John Snow Labs

MAY 24, 2023

Likewise, almost 80% of AI/ML projects stall at some stage before deployment. Companies can use high-quality human-powered data annotation services to enhance ML and AI implementations. Also, ML and AI models need voluminous amounts of labeled data to learn from. It annotates images, videos, text documents, audio, and HTML, etc.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Auto-classification 52

Marktechpost

JULY 19, 2023

The task specification, the rules the predictions must abide by, and optionally some samples of the task input and output are all included in these instruction sets. The task specification, the rules the predictions must abide by, and optionally some samples of the task input and output are all included in these instruction sets.

Large Language Models 78

Large Language Models LLM Deep Learning AI 78

Flipboard

NOVEMBER 22, 2023

In addition, customers are looking for choices to select the most performant and cost-effective machine learning (ML) model and the ability to perform necessary customization (fine-tuning) to fit their business use cases. The LLM generated text, and the IR system retrieves relevant information from a knowledge base.

Chatbots 124

Chatbots LLM ML Large Language Models 124

AWS Machine Learning Blog

SEPTEMBER 11, 2023

Amazon SageMaker Domain supports SageMaker machine learning (ML) environments, including SageMaker Studio and SageMaker Canvas. Set up one or more security groups with inbound and outbound rules that together allow the following traffic: NFS traffic over TCP on port 2049 between the domain and the Amazon EFS volume.

Auto-complete 89

Auto-complete ML Machine Learning DevOps 89

AWS Machine Learning Blog

APRIL 11, 2024

Categorizing documents is an important first step in IDP systems. Traditional rule engines or ML-based classification can classify the documents, but often reach a limit on types of document formats and support for the dynamic addition of a new classes of document.

IDP 94

IDP Software Engineer Metadata Categorization 94

AWS Machine Learning Blog

NOVEMBER 30, 2023

In addition to offering them choice and—as they expect from us—breadth and depth of capabilities across all layers, customers also tell us they appreciate our data-first approach, and trust that we’ve built everything from the ground up with enterprise-grade security and privacy. AWS innovates to offer the most advanced infrastructure for ML.

Generative AI 121

Generative AI AI AI ML 121

AWS Machine Learning Blog

FEBRUARY 28, 2023

In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. For example, in the healthcare industry, ML-driven analytics can be used for diagnostic assistance and personalized medicine, while in health insurance, it can be used for predictive care management.

ML 69

ML Machine Learning Categorization NLP 69

Explosion

MAY 17, 2023

users write text to each other) or the input (e.g. We all spend a big part of our working lives writing, reading, speaking and listening. They are extremely useful, but if you want to deliver reliable software you can improve over time, you can’t just write a prompt and call it a day. news aggregators). That’s definitely new.

LLM 135

LLM NLP Large Language Models OpenAI 135

Marktechpost

AUGUST 13, 2023

It can help you easily identify the routes you need and protect you from typos and wrong ways. The project files are parsed by Path Intellisense, which then compiles a database of all the paths used in the project. Path Intellisense is a feature of some code editors that will suggest possible ways as you type. to produce dynamic web pages.

Auto-complete 97

Auto-complete OpenAI Python AI Researcher 97