AWS Machine Learning Blog

APRIL 24, 2024

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The Amazon D&C team implemented the solution in a pilot for Amazon engineers and collected user feedback. of overall responses) can be addressed by user education and prompt engineering.

LLM 112

LLM AI AI Generative AI 112

Unite.AI

OCTOBER 19, 2023

Prompt Engineering So, making the right prompts is very important when using these models. This is called prompt engineering. The foundation of this phenomenon lies in the training data. Training Data: The internet, while a vast resource, is not free from biases, misinformation, or malicious content. Showing hidden data.

Prompt Engineer 277

Prompt Engineer Prompt Engineering Large Language Models LLM 277

Unite.AI

SEPTEMBER 6, 2023

It converts raw streams of transactions into contextualized, structured information by combining data from multiple sources, including natural language models, search engines, internal databases, external APIs, and existing transaction data from across our network. What were some of the first data projects that you worked on?

Natural Language Processing 278

Natural Language Processing BERT Large Language Models ML 278

AssemblyAI

SEPTEMBER 27, 2023

Speech AI applies AI models to understand speech or spoken data. ASR models today, like AssemblyAI’s Conformer-2 model , can be trained on enormous amounts of data to achieve superhuman levels of accuracy. Then, the tool uses this data to more accurately power podcast recommendation engines. What is Speech AI?

Large Language Models 130

Large Language Models AI AI AI Modeling 130

Unite.AI

AUGUST 14, 2023

Such data underscores the volatile nature of online traffic, and it showcases that even AI giants that are backed by Microsoft are not immune to a steep drop in traffic. Other problems with OpenAI could be the steep price tag. $20 The organization's monthly visitor count went from a staggering 959.5 million to 780.1

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OpenAI Generative AI Artificial Intelligence Artificial Intelligence 243

IBM Journey to AI blog

DECEMBER 19, 2023

As practices like DevOps , cloud native , serverless and site reliability engineering (SRE) mature, the focus is shifting toward significant levels of automation, speed, agility and business alignment with IT (which helps enterprise IT transform into engineering organizations).

DevOps 182

DevOps Automation Software Development 182

Unite.AI

DECEMBER 21, 2023

One tool that often comes up in the conversation is Semrush , but is it the best search engine optimization tool out there? Bloggers: Improve your blog's visibility by performing keyword research and optimizing your posts for better search engine rankings. This in-depth Semrush review will help you find out. Who is Semrush Best For?

AI Tools 245

AI Tools Categorization Explainability AI 245

Unite.AI

DECEMBER 18, 2023

Trey has over ten years of experience in the tech industry, having worked as an engineer for IBM, Creative Commons, and Yelp. Trey was the lead engineer for Yelp Reservations and was responsible for the integration of SeatMe functionality onto Yelp.com. Trey Doig is the Co-Founder & CTO at Pathlight.

LLM 130

LLM Data Analysis Prompt Engineer Prompt Engineering 130

Marktechpost

MARCH 26, 2024

In our digital world, everyone is always trying to access more data. Folders and tags, the traditional standbys, may become cumbersome, and keyword searches frequently yield useless results. We toil away many hours trying to reassemble missing data, find misplaced papers, and piece together seemingly unrelated pieces of information.

Natural Language Processing 106

Natural Language Processing Large Language Models AI AI 106

Unite.AI

OCTOBER 16, 2023

The roadmap to LLM integration have three predominant routes: Prompting General-Purpose LLMs : Models like ChatGPT and Bard offer a low threshold for adoption with minimal upfront costs, albeit with a potential price tag in the long haul. Among the three, the fine-tuning of general-purpose LLMs is the most favorable option for companies.

Large Language Models 189

Large Language Models LLM Machine Learning DevOps 189

Snorkel AI

FEBRUARY 2, 2023

We plan for multiple rounds of iteration to improve performance through error analysis, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework. In contrast, it’s easy to understand the impact of increasing and improving your training data. Streamlined tagging workflows.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Snorkel AI

FEBRUARY 2, 2023

We plan for multiple rounds of iteration to improve performance through error analysis, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework. In contrast, it’s easy to understand the impact of increasing and improving your training data. Streamlined tagging workflows.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

IBM Journey to AI blog

DECEMBER 19, 2023

Given enterprise complexity, the most difficult part of this stage is the automation of testing capabilities (wherein test data preparation and execution of test cases across multiple systems is mostly semi-automated). Platform Engineering enterprise catalog offering multiple self-serve capabilities.

Automation 209

Automation DevOps Software Development 209

IBM Journey to AI blog

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 129

Machine Learning ML Algorithm Chatbots 129

Marktechpost

JANUARY 22, 2024

After human annotation is complete, a machine-learning model automatically examines the tagged pictures to generate the same annotations. Image annotation is the process of labeling or categorizing an image with descriptive data that helps identify and classify objects, people, and situations included within the image. Makingsense.ai

Computer Vision 84

Computer Vision Machine Learning ML Deep Learning 84

Towards AI

DECEMBER 28, 2023

GenAI I serve as the Principal Data Scientist at a prominent healthcare firm, where I lead a small team dedicated to addressing patient needs. Over the past 11 years in the field of data science, I’ve witnessed significant transformations. So, python is the MOST important prerequisite for venturing into the GenAI world as a developer.

Large Language Models 115

Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 115

Heartbeat

DECEMBER 7, 2023

Once the PDF file data is obtained, the _parse_pdf method is called to send this data to the external parser API (in this case, the llmsherpa API). The API processes the PDF and returns a JSON response with parsed data. Result : The doc variable now holds a Document object that contains the structured data parsed from the PDF.

LLM 52

LLM OpenAI Deep Learning Large Language Models 52

AWS Machine Learning Blog

MAY 5, 2023

In this post, we show how to repurpose an existing dataset via data cleaning, preprocessing, and pre-labeling with a zero-shot classification model in FiftyOne , and adjusting these labels with Amazon SageMaker Ground Truth. You can use Ground Truth and FiftyOne to accelerate your data labeling project.

Metadata 76

Metadata Computer Vision Machine Learning Data Scientist 76

Flipboard

APRIL 6, 2023

In addition to using the technology on the back-end to create headlines, research keywords, generate meta tags and product descriptions, Ingenio has published more than 1,000 articles around popular search queries on Horoscope.com and Astrology.com using generative AI since the beginning of 2022.

AI Tools 129

AI Tools Generative AI Metadata AI 129

Towards AI

AUGUST 16, 2023

In fact, AI/ML graduate textbooks do not provide a clear and consistent description of the AI software engineering process. Therefore, I thought it would be helpful to give a complete description of the AI engineering process or AI Process, which is described in most AI/ML textbooks [5][6]. 85% or more of AI projects fail [1][2].

Software Engineer 87

Software Engineer Machine Learning Artificial Intelligence Artificial Intelligence 87

Dlabs.ai

SEPTEMBER 26, 2023

file that will hold our tags: locals { # Common tags to be assigned to all resources tags = { Name = "mlflow-terraform" Environment = var.env } } Main file In main.tf , we will insert our basic configuration; the version should be the latest available. The image needs to be pushed with the tag latest.

Machine Learning 52

Machine Learning Data Science Automation ML 52

Unite.AI

JULY 20, 2023

It also has a fantastic Topic Cluster tool that allows you to dominate your niche and fly up the rankings on popular search engines like Google. It’s an all-in-one solution with everything you need for your content to rank on search engines like Google, from effective keyword research to a complete SEO-optimized article!

AI 245

AI AI NLP Natural Language Processing 245

Marktechpost

MAY 6, 2024

More than just software, these tools usher in a new age of design where data meets intuition, style meets algorithmic precision, and machine intelligence augments artistic vision. With the help of fashion AI, the platform’s customization engine can figure out what users like and how they shop.

AI Tools 77

AI Tools Artificial Intelligence Artificial Intelligence AI 77

Snorkel AI

JANUARY 30, 2024

I recently discussed some of my work on generative AI (GenAI) applications in a talk called “Data Development for GenAI: A Systems Level View” at Snorkel AI’s Enterprise LLM Summit. Used correctly, they form the foundation of an application ecosystem where data feeds various system components both upstream and downstream.

LLM 52

LLM Large Language Models AI AI 52

Snorkel AI

JANUARY 30, 2024

I recently discussed some of my work on generative AI (GenAI) applications in a talk called “Data Development for GenAI: A Systems Level View” at Snorkel AI’s Enterprise LLM Summit. Used correctly, they form the foundation of an application ecosystem where data feeds various system components both upstream and downstream.

LLM 52

LLM Large Language Models AI AI 52

Snorkel AI

MARCH 27, 2024

At Google Cloud Next, you’ll have the opportunity to hear directly from Snorkel, Google, and AI innovators like Wayfair and Wells Fargo about how you can move AI prototypes into production by programmatically developing your data.

Machine Learning 52

Machine Learning Generative AI ML Explainability 52

Snorkel AI

MARCH 27, 2024

At Google Cloud Next, you’ll have the opportunity to hear directly from Snorkel, Google, and AI innovators like Wayfair and Wells Fargo about how you can move AI prototypes into production by programmatically developing your data.

Machine Learning 52

Machine Learning Generative AI ML Explainability 52

AWS Machine Learning Blog

OCTOBER 2, 2023

It is architected to automate the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. Solution overview The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which could be deployed as part of a manufacturing process.

Automation 95

Automation DevOps Machine Learning Metadata 95

Ofemwire

MARCH 1, 2024

The Significance of SEO In AI Generated Content Search Engine Optimization (SEO) plays a significant role in AI-generated content, just as it does in content created by humans. Optimizing content with relevant keywords, meta tags, headings, and other SEO elements can help improve its visibility and ranking.

AI 111

AI AI Natural Language Processing Explainability 111

NVIDIA

JANUARY 9, 2024

But many are now realizing the value in developing custom models trained on their proprietary data to achieve brand-appropriate tone and personalized results in a scalable, cost-effective way. Many retailers are testing the generative AI waters first with internal deployments.

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Generative AI Large Language Models Chatbots AI 102

AWS Machine Learning Blog

FEBRUARY 13, 2024

To keep pace with new products, a new model was produced each month using the latest training data. Data augmentation for model training and manually managing the complete end-to-end training cycle was adding significant overhead. For certain SKUs, we augmented data to encompass a broader range of environmental conditions.

Computer Vision 103

Computer Vision Convolutional Neural Networks AI AI 103

Flipboard

NOVEMBER 21, 2023

MATLAB   is a popular programming tool for a wide range of applications, such as data processing, parallel computing, automation, simulation, machine learning, and artificial intelligence. To do this, we’ll use a predictive maintenance example where we classify faults in an operational pump that’s streaming live sensor data. We

Machine Learning 116

Machine Learning Auto-classification Python Algorithm 116

ODSC - Open Data Science

JANUARY 1, 2024

Everyone knows Microsoft, as before they were a leader in data science and AI, they were a leader in software and technology — and still are. Here, we have several different playlists, including machine & deep learning , NLP , responsible AI, model explainability, and other miscellaneous data science topics.

Data Science 52

Data Science Machine Learning Deep Learning Large Language Models 52

IBM Journey to AI blog

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Computer Vision Automation Robotics AI 224

AWS Machine Learning Blog

JUNE 8, 2023

Data scientists need a consistent and reproducible environment for machine learning (ML) and data science workloads that enables managing dependencies and is secure. Studio provides an extensive list of first-party images with common frameworks and packages, such as Data Science, TensorFlow, PyTorch, and Spark.

Data Scientist 75

Data Scientist ML Machine Learning Deep Learning 75

Towards AI

JULY 20, 2023

We present Cryptonite, a… github.com Hub Datasets Hub, the data storage application from Activeloop.AI Visualize any slice of the data in a matter of seconds without redundant manipulations activeloopai/Hub Note: the translations of this document may not be up-to-date. is riding the dataset gravy train. A new update is out!

NLP 86

NLP Deep Learning Data Analysis Natural Language Processing 86

ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

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Prompt Engineer Prompt Engineering LLM Data Science 52