Mlearning.ai

FEBRUARY 28, 2023

Read the full blog here —  [link] Technology Stack HTML, CSS for frontend Flask(Python) for backend Introduction to Flask Flask is a web application framework written in Python. The prediction engine uses the deep learning model to make predictions on the uploaded image. The prediction engine is built using Flask and Keras.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Vision 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Generative AI 103

Generative AI Prompt Engineer Prompt Engineering AI 103

AWS Machine Learning Blog

DECEMBER 22, 2023

SMP v2 integrates with Transformer Engine for its implementation of tensor parallelism and makes it compatible with the PyTorch FSDP APIs. script in the PyTorch GitHub repository and Activation Checkpointing in the PyTorch blog post Scaling Multimodal Foundation Models in TorchMultimodal with Pytorch Distributed.

Deep Learning 98

Deep Learning Software Development LLM Software Engineer 98

IBM Journey to AI blog

JANUARY 8, 2024

How will workloads be managed to avoid swamping backend systems? It includes a low-code user interface designed to enable a broad range of users to work with events and a powerful open-source event processing engine. Reuse of course can bring its own challenges. How will access be controlled?

Automation 200

Automation Data Quality Explainability 200

AWS Machine Learning Blog

FEBRUARY 2, 2024

However, if you’re more interested in exploring only the backend and analysis notebooks, you can optionally deploy only that, which is covered in the next section. Option 1: Deploy the backend application only This pattern allows you to deploy the backend solution only and interact with the solution using a Jupyter notebook.

ETL 91

ETL DevOps LLM Generative AI 91

AWS Machine Learning Blog

APRIL 19, 2023

After reading a few blog posts and DJL’s official documentation, we were sure DJL would provide the best solution to our problem. They use the DJL PyTorch engine to initialize the model predictor. The DJL continues to grow in its ability to support different hardware, models, and engines.

ML 75

ML Deep Learning Python Auto-classification 75

AWS Machine Learning Blog

MAY 15, 2024

ONNX Runtime is the runtime engine used for model inference and training with ONNX. Optimized GEMM kernels ONNX Runtime supports the Microsoft Linear Algebra Subroutine (MLAS) backend as the default Execution Provider (EP) for deep learning operators. We also demonstrate the resulting speedup through benchmarking.

NLP 89

NLP BERT Natural Language Processing Software Development 89

Google Research AI blog

FEBRUARY 2, 2023

Posted by Xingyou (Richard) Song, Research Scientist, and Chansoo Lee, Software Engineer, Google Research, Brain Team Google Vizier is the de-facto system for blackbox optimization over objective functions and hyperparameters across Google, having serviced some of Google’s largest research efforts and optimized a wide range of products (e.g.,

Algorithm 95

Algorithm Machine Learning Software Engineer Python 95

AWS Machine Learning Blog

MARCH 30, 2023

The second subsystem consists of the model backend, which receives requests from the front-end client, routes the requests to an ML model to generate adjusted bounding box coordinates, and sends the data back to the client. We integrate this front end with our Amazon SageMaker Ground Truth annotation UI.

Machine Learning 83

Machine Learning Convolutional Neural Networks Neural Network Computer Vision 83

Pickl AI

JUNE 19, 2023

If you’re willing to choose a career in AI and want to opt for some of the best Artificial Intelligence Courses for Beginners , the following blog will help you do the same. MET’s School of Engineering- Thrissur, St. They can work as computer scientists, IT analysts, AI engineers, big data and AI designers, and so on.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Mining Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 21, 2023

NVIDIA Triton Inference Server provides two different kind backends: one for hosting models on GPU, and a Python backend where you can bring your own custom code to be used in preprocessing and postprocessing steps. This includes overheads like load balancing, preprocessing, model inferencing, and postprocessing times.

ML 82

ML Deep Learning Machine Learning DevOps 82

Pickl AI

MARCH 6, 2023

The eye-catchy graphics, sound and animation result from different aspects working together at the backend. PyKara is based on Software and documentation localization ( SDL ) and the Kyra engine. Built-in game engine : It has a built-in game engine that adds game development features like sound, input and graphics.

Python 52

Python Data Scientist Deep Learning Data Analysis 52

AWS Machine Learning Blog

JUNE 5, 2023

hyperparameters={ "epochs": 100, "backend": "gloo", "lr": 0.01, "beta1": 0.8 } tuner = HyperparameterTuner(. Iaroslav Shcherbatyi is a Machine Learning Engineer at AWS. The following code creates a hyperparameter tuner using the SageMaker Python SDK without Autotune: estimator = PyTorch( entry_point="mnist.py", instance_type="ml.p4d.24xlarge",

Neural Network 76

Neural Network Machine Learning ML Python 76

Mlearning.ai

APRIL 15, 2023

As of today there are 3 main ways to make LLMs output more specific results: Prompt engineering — providing more context in the prompt and engineering the request. The design and compatibility for backend integration place Vertex AI in a front position to provide AI as a service.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering ChatGPT 52

AWS Machine Learning Blog

APRIL 8, 2024

This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion and token level log probabilities).

Auto-complete 84

Auto-complete LLM Deep Learning Auto-classification 84

AWS Machine Learning Blog

DECEMBER 12, 2023

The original models (NeoX and Pythia 6.9B) are trained on openly available Pile dataset with deduplication and using Megatron and Deepspeed backend. Amith (R) Mamidala is the senior machine learning application engineering at AWS Annapurna Labs. Outside of work, he enjoys cycling and backcountry camping.

Deep Learning 96

Deep Learning Large Language Models Machine Learning Big Data 96

AWS Machine Learning Blog

MAY 10, 2023

About the Authors Trey Robinson has been a mobile and IoT-focused software engineer leading teams as the CTO of Sleepme Inc and Director of Engineering at Passport Inc. He has worked on dozens of mobile apps, backends, and IoT projects over the years.

Automation 62

Automation ML Software Engineer Machine Learning 62

AWS Machine Learning Blog

MAY 19, 2023

In this blog post we walk you through the Solution Architecture behind “Describe For Me”, and the design considerations of our solution. The DescribeForMe web app invokes the backend AI services by sending the Amazon S3 object Key in the payload to Amazon API Gateway Amazon API Gateway instantiates an AWS Step Functions workflow.

Generative AI 89

Generative AI Machine Learning AI AI 89

Marktechpost

JULY 19, 2023

Stakeholders such as ML engineers, designers, and domain experts must work together to identify a model’s expected and potential faults. Instead, ML engineers collaborate with domain experts and designers to describe a model’s expected capabilities before it is iterated and deployed. Check out the Paper and CMU Blog.

Machine Learning 52

Machine Learning ML Python Metadata 52

Heartbeat

FEBRUARY 15, 2023

As a machine learning engineer, you start with a labeled data set that has vast amounts of text that have already been categorized. Keras provides a simple API to build neural networks and uses Tensorflow as the backend. We’re committed to supporting and inspiring developers and engineers from all walks of life.

ML 52

ML Neural Network Deep Learning Natural Language Processing 52

AWS Machine Learning Blog

JULY 24, 2023

This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. Because there is no such existing feature in a patent search engine (to their best knowledge), Patsnap believes adding this feature will increase end-user stickiness. gpt2 and predictor.py

Metadata 66

Metadata Generative AI Natural Language Processing Deep Learning 66

AWS Machine Learning Blog

FEBRUARY 14, 2023

In this blog post, we focus on retrieving custom search results that apply to a specific user or user group. Solution walkthrough Figure 1: Architecture diagram of proposed solution The sample architecture used in this blog to demonstrate the use case is shown in Figure 1. Let’s now explore how to build this solution in more detail.

Chatbots 79

Chatbots AI Chatbots Metadata IDP 79

The MLOps Blog

JANUARY 11, 2023

Taking them into account, different cloud providers nowadays offer services and tools with many hypothetical scenarios and solutions, nevertheless, the reality is often far from what you read in blogs and articles. Architectural design The environment architecture is shown in figure 1 as a whole with all its resources.

Machine Learning 52

Machine Learning Automation ML Python 52

AWS Machine Learning Blog

MAY 5, 2023

To address the problems associated with complex searches, this post describes in detail how you can achieve a search engine that is capable of searching for complex images by integrating Amazon Kendra and Amazon Rekognition. However, these diagrams must originate from credible sources such as AWS Blog and AWS Prescriptive Guidance.

Metadata 101

Metadata ETL ML Data Ingestion 101

The MLOps Blog

MARCH 15, 2023

Collaboration : Ensuring that all teams involved in the project, including data scientists, engineers, and operations teams, are working together effectively. This is a blog post from AWS to optimize cloud services costs. One Data Engineer: Cloud database integration with our cloud expert. Redshift, S3, and so on.

ETL 52

ETL Data Drift Machine Learning ML 52

Pickl AI

MAY 24, 2023

To help you understand Python Libraries better, the blog will explain a Python Libraries for Data Science List which you can learn about. Uses: Keras internally employs both Theano, which or TensorFlow in the backend. Accordingly, if libraries play its own significant roles in order to enhance business operations.

Data Science 52

Data Science Python Neural Network Machine Learning 52

AWS Machine Learning Blog

MARCH 22, 2023

Lambda is a serverless, event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers. The workflow allows application developers and ML engineers to automate the custom label classification steps for any computer vision use case.

Automation 80

Automation Machine Learning ML Computer Vision 80

Pickl AI

AUGUST 15, 2023

Read Blog: Machine Learning Engineer Salary in India R R is a programming language specifically designed for statistics and Data Analysis. Moreover, coding skills provide a competitive edge, allowing Data Analysts to explore diverse career opportunities in fields like data engineering, Data Science, and Artificial Intelligence.

Data Analysis 52

Data Analysis Python Machine Learning Automation 52

Flipboard

MARCH 27, 2023

This blog series aims to understand and test the capabilities of PyTorch 2.0 AOT Autograd is the new PyTorch autograd engine that generates ahead-of-time (AOT) backward traces. This makes it easy to implement any new feature in the PyTorch backend. On Line 6 , backend specifies which compiler backend to use.

Neural Network 117

Neural Network Convolutional Neural Networks BERT Computer Vision 117

IBM Journey to AI blog

DECEMBER 1, 2023

When migrating off IBM Cloud Functions, IBM Cloud Code Engine is one of the possible deployment targets. Code Engine offers apps, jobs and (recently function) that you can (or need) to pick from. In this post, we provide some discussion points and share tips and tricks on how to work with Code Engine functions.

Python 161

Python Chatbots AI Modeling AI 161

AWS Machine Learning Blog

OCTOBER 18, 2023

AWS Lambda is an event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers. Tayo Olajide is a seasoned Cloud Data Engineering generalist with over a decade of experience in architecting and implementing data solutions in cloud environments.

Auto-complete 94

Auto-complete Auto-classification Automation ML 94

Heartbeat

MARCH 6, 2023

Keras provides a simple API to build neural networks and uses Tensorflow as the backend. We’re committed to supporting and inspiring developers and engineers from all walks of life. install.packages(“keras”) Now you have your development environment set up. Let’s begin by loading the datasets.

ML 52

ML Neural Network Computer Vision Deep Learning 52

AWS Machine Learning Blog

MARCH 13, 2023

Finally, we use Amazon API Gateway as a way of integrating with our front end, the Ground Truth labeling application, to provide secure authentication to our backend. About the authors Jonathan Buck is a Software Engineer at Amazon Web Services working at the intersection of machine learning and distributed systems.

Machine Learning 68

Machine Learning ML Robotics Software Engineer 68

Unite.AI

MAY 15, 2024

From individuals to business owners, enterprises to nonprofits, blogs to agencies, there’s a plan for everyone. A2Hosting uses the traditional cPanel for backend management but also features a custom control panel, TurboHub for WordPress websites. Then you have phone lines, a knowledgebase, and blog section. It’s simply mental!

Robotics 147

Robotics Automation 147

IBM Journey to AI blog

NOVEMBER 6, 2023

Serverless is a cloud computing application development and execution model that enables developers to build and run application code without provisioning or managing servers or backend infrastructure. IBM Cloud Code Engine takes serverless to the next level. This was useful for event-driven functions, but it was very limited.

Data Platform 306

Data Platform AI AI 306

AWS Machine Learning Blog

JULY 6, 2023

SageMaker Autopilot takes away the heavy lifting of building ML models, including feature engineering, algorithm selection, and hyperparameter settings, and it is also relatively straightforward to integrate directly into a SaaS platform. SageMaker Canvas provides a no-code visual interface for training ML models.

ML 75

ML Metadata Data Scientist ETL 75

AWS Machine Learning Blog

NOVEMBER 7, 2023

About The Authors Jin Tan Ruan is a Prototyping Developer within the AWS Industries Prototyping and Customer Engineering (PACE) team, specializing in NLP and generative AI. He holds a master’s degree in Computer Science & Software Engineering from the University of Syracuse.

Large Language Models 94

Large Language Models Generative AI LLM AI 94