AWS Machine Learning Blog

JUNE 27, 2023

SageMaker JumpStart provides two types of foundation models: Proprietary models – These models are from providers such as AI21 with Jurassic-2 models, Cohere with Cohere Command, and LightOn with Mini trained on proprietary algorithms and data. You should also follow the subscription and usage instructions per the selected notebook.

ML 64

ML Machine Learning Python Natural Language Processing 64

Unite.AI

JULY 13, 2023

Within seconds, Jasper has written a paragraph based on your command. Give Jasper commands and watch him generate real-time responses (it’s basically a ChatGPT alternative). Power Mode Access 50+ templates to start writing a blog, Amazon product descriptions, email subject lines, and more! Hit “Enter,” and poof!

AI 130

AI AI ChatGPT Natural Language Processing 130

Marktechpost

JULY 14, 2023

It offers both a command-line interface and an embedded web server equipped with a user-friendly GUI interface, both available on GitHub. It has grown into a comprehensive framework since its inception and is now available as a command-line interface for Kali Linux and a web application.

Categorization 87

Categorization Large Language Models Automation Algorithm 87

Mlearning.ai

APRIL 24, 2023

One can only train and mange so many algorithms/commands with one computer, thus it is attractive to use a service cloud platform with more computers, storage, and deployment options. You can use the bash or powershell CLI, all the commands for this post are in bash.

DevOps 52

DevOps ETL Python Machine Learning 52

ODSC - Open Data Science

MAY 8, 2023

Prerequisites: Azure subscription Basic python knowledge Azure ML (Machine Learning) Workspace Azure ML is a platform for all your machine learning and deep learning needs. In Designer, you do not need to write a single line of code. Lastly, upload the data from Azure Subscription. Let us get started!

ML 52

ML Machine Learning Deep Learning Data Science 52

AWS Machine Learning Blog

APRIL 11, 2023

Fig 3: AWS Marketplace manage subscriptions page After few minutes, you see the RStudio Workbench product under your subscriptions. You can also perform the steps using the AWS Command Line Interface (AWS CLI) following the instructions on Create an Amazon SageMaker Domain with RStudio using the AWS CLI.

Machine Learning 81

Machine Learning Python Data Scientist ML 81

Mlearning.ai

AUGUST 10, 2023

BigQuery is very useful in terms of having a centralized location of structured data; ingestion on GCP is wonderful using the ‘bq load’ command line tool for uploading local .csv My obsession with BigQuery continues! csv files automatically, similar to other cloud platforms.

Auto-complete 52

Auto-complete Data Ingestion Explainability Python 52

O'Reilly Media

JANUARY 16, 2024

I pay for a ChatGPT Plus subscription so I can use the most advanced GPT-4 model, but that comes with a usage limit that I usually hit after about an hour.) Even implementing a feature like a voice command for interruption would be great, like maybe if I say “pause” or “wait” then it could stop and await my request.

ChatGPT 72

ChatGPT LLM AI AI 72

Heartbeat

DECEMBER 27, 2023

So rather than the VM using numerous Guest OS, this Docker Desktop install on a single VM (micro Linux VM) runs all containers and executes Docker commands. Demystifying some terminologies: Dockerfile : This human-readable text file contains all the commands or instructions to build docker images. Why Use Docker for Machine Learning?

Machine Learning 52

Machine Learning Python ML Categorization 52

John Snow Labs

JULY 28, 2023

Note: Free Trials will automatically convert to a paid subscription upon expiration and you will be charged for additional usage above the free units provided. Review the pricing details and the terms of the subscription, then click “Continue to Configuration.” You can avail a free trial of our NLP Library as well.

Large Language Models 52

Large Language Models NLP Chatbots Deep Learning 52

Jay Alammar

DECEMBER 31, 2022

Panel 3 Original Image: Final Image: Midjourney prompt: long shot of an angular ugly green space ship in orbit over a red planet in space in the black sky , dramatic --ar 3:2 To instruct the model to generate a wide image, the –ar 3:2 command specifies the desired aspect ratio. Options are offered as commands to add to the prompt.

AI 52

AI AI OpenAI AI Tools 52

Ines Montani

AUGUST 4, 2017

It’s a downloadable tool with a powerful command-line interface for training and evaluating models, and a flexible web application for collecting annotations straight from the browser. While the web application was what originally inspired Prodigy, it quickly grew into a more complex “machine teaching” tool.

Python 52

Python Software Development Data Scientist Artificial Intelligence 52

AWS Machine Learning Blog

MAY 25, 2023

Run the following commands in the directory of your local environment to create and push the container image to the ECR repository you created: aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin.dkr.ecr.us-east-1.amazonaws.com Clone the GitHub repo to create the container image: app.py

ML 69

ML Auto-complete NLP Machine Learning 69

O'Reilly Media

JULY 20, 2021

This could be anyone able to tap the screen, make a voice command, use a remote, or simply be sensed by it. For example, when multiple people talk to an Echo at the same time, Alexa will either not understand or it will take action on the last command. But it doesn’t work so well when you and a child are both trying to shout commands.

Software Engineer 121

Software Engineer Automation Machine Learning ML 121

Mlearning.ai

APRIL 1, 2023

command: >- python train.py --train_data ${{inputs.train_data}} --test_data ${{inputs.test_data}} --learning_rate ${{inputs.learning_rate}} --registered_model_name ${{inputs.registered_model_name}} --model ${{outputs.model}} Load the component # importing the Component Package from azure.ai.ml py38-cpu:1 #aml-scikit-learn:0.1.0

Responsible AI 40

Responsible AI AI AI ML 40

The MLOps Blog

MAY 10, 2023

To save the model in SavedModel format, you can use the following lines of code: import tensorflow as tf # using SavedModel format to save the model tf.saved_model.save(model, "my_model" ) You can also load the model with load() method. Finally, you can store the model and other metadata information using the INSERT INTO command.

Python 106

Python Metadata ML Deep Learning 106