Heartbeat

NOVEMBER 22, 2023

Example: You are a travel assistant. Please plan a week-long itinerary for a solo traveler visiting Paris. The traveler is interested in art, history, and local cuisine. Recommend local restaurants for each day, considering the traveler's preference for diverse cuisine. . Be friendly and helpful in your interactions.

Chatbots 52

Chatbots OpenAI Deep Learning Machine Learning 52

AWS Machine Learning Blog

OCTOBER 6, 2023

For instance, in an application that recommends movies, features could include previous ratings, preference categories, and demographics. To simplify, you can build a regression algorithm using a user’s previous ratings across different categories to infer their overall preferences. Outside of work, he enjoys reading and traveling.

Generative AI 111

Generative AI LLM Natural Language Processing Metadata 111

AWS Machine Learning Blog

MARCH 4, 2024

Here are a few ways customers have been using Anthropic’s Claude models on Amazon Bedrock: “We are developing a generative AI solution on AWS to help customers plan epic trips and create life-changing experiences with personalized travel itineraries.

Generative AI 135

Generative AI Automation AI AI 135

IBM Journey to AI blog

JULY 26, 2023

By evaluating each expense category, decision-makers gain better visibility into the cost structure of the organization. Evaluate Expenses: Review each expense category, including recurring expenses such as subscriptions, and question their necessity and relevance.

Data Integration 152

Data Integration Artificial Intelligence Artificial Intelligence Machine Learning 152

Towards AI

FEBRUARY 13, 2024

Artists can also decide what content categories their voice can be used for. The second agent is web-centric: It performs web-based tasks such as collecting public data, creating travel itineraries, or booking airline tickets.

Metadata 101

Metadata OpenAI AI AI 101

Towards AI

FEBRUARY 25, 2023

There are multiple types and categories of SLAM that utilize various sensors. One of the most used categories is Visual SLAM and Non-Visual SLAM. A map is created from a path that the camera has traveled. This algorithm enables a robot to create a map from an unknown environment and simultaneously localize itself to it.

Robotics 88

Robotics Algorithm AI AI 88

AWS Machine Learning Blog

OCTOBER 19, 2023

Amazon Rekognition uses a hierarchical taxonomy to label inappropriate or unwanted content with 10 top-level moderation categories (such as violence, explicit, alcohol, or drugs) and 35 second-level categories. Outside of work, he enjoys hiking and traveling. He enjoys working on computer vision, AI, and distributed systems.

Computer Vision 108

Computer Vision Auto-complete Artificial Intelligence Artificial Intelligence 108

Becoming Human

MARCH 16, 2023

Methods like unsupervised learning also fail in scenarios where different sub-categories of the same object need to be classified — for instance, trying to identify different breeds of dogs. Here the travel label got the highest score as it fully matches the sequence. Now we will declare the sequence that we want to classify.

Computer Vision 127

Computer Vision Deep Learning Machine Learning Artificial Intelligence 127

Artificial Corner

NOVEMBER 3, 2023

Siri, Google Assistant, or Alexa got replaced by a new category of AI product: Personal AI. A Personal AI is a category of AI where users can create and train their own AI. Your Personal AI is a Second Brain: Siri doesn’t keep track of your life experiences, your past travels, or the next objective you’d like to achieve.

AI 52

AI AI Explainability Chatbots 52

AWS Machine Learning Blog

OCTOBER 24, 2023

Follow the Artificial Intelligence category on AWS Machine Learning Blog to stay up to date with new capabilities and use cases for various AWS AI services. Outside the work he spends time with family and does a lot of religious study and practice as well as traveling to the religious places above 5000 meters in the mountains of Tibet.

Artificial Intelligence 90

Artificial Intelligence Artificial Intelligence Machine Learning Generative AI 90

AWS Machine Learning Blog

OCTOBER 17, 2023

Search is crucial in engaging users because it brings high-intent traffic from individuals seeking specific products or categories. In his spare time, he enjoys reading and traveling. This feature is also available with self-managed OpenSearch. Prashant Mishra is a Software Development Engineer on the Amazon Personalize team.

Software Development 88

Software Development ML Deep Learning Algorithm 88

AWS Machine Learning Blog

FEBRUARY 24, 2023

The teams used existing FEMA categories for damage such as flooding, debris, fire and smoke, or landslides, which standardized the label categories. In his free time, he loves traveling and skiing with his family. He enjoys diving deep into customer challenges and building prototypes for customers to accelerate innovation.

Computer Vision 85

Computer Vision Metadata Machine Learning ML 85

AWS Machine Learning Blog

FEBRUARY 16, 2024

Recent advances in ML have given rise to a new class of models known as foundation models , which are typically trained on billions of parameters and are adaptable to a wide category of use cases, such as text summarization, digital art generation, and language translation. June Won is a product manager with SageMaker JumpStart.

Python 109

Python Computer Vision Machine Learning Artificial Intelligence 109

Cold Takes

JUNE 30, 2022

There will be aircraft, of course, but even ground travel will increasingly take to the air a foot or two off the ground." no time travel). no time travel). " Overall it seems like he did a lot of predicting outlandish stuff about space travel, and then anti-predicting things that are probably just impossible (e.g.,

AI 52

AI AI Robotics AI Researcher 52

AWS Machine Learning Blog

MARCH 2, 2023

This can be useful for shared data repositories that contain content belonging to different categories, classification and file types. Outside of work, he loves to travel. Outside of work, he loves to hike and travel. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account.

Metadata 86

Metadata Machine Learning Software Engineer Algorithm 86

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Compared to classic ML and MLOps, FMOps and LLMOps defer based on four main categories that we cover in the following sections: people and process, selection and adaptation of FM, evaluation and monitoring of FM, data privacy and model deployment, and technology needs. This ensures data privacy, and the data doesn’t travel over the internet.

Generative AI 103

Generative AI Prompt Engineer Prompt Engineering AI 103

Google Research AI blog

JUNE 6, 2023

So, we collected a dataset of 1595 quadruples of language (1) , visual content (2) , type (3) , and source (4) across a variety of contexts, including daily conversations, lectures, and travel guides. For example, “I would love to see it!” Did she tell you about our trip to Mexico?” We publicly release the training dataset, VC1.5K

Large Language Models 69

Large Language Models Auto-complete UX Design Software Engineer 69

AWS Machine Learning Blog

MARCH 27, 2024

In this post, we guide you through the process of fine-tuning the Amazon Titan Image Generator model to learn two new categories: Ron the dog and Smila the cat, our favorite pets. In her free time, Maira enjoys traveling, playing with her cat Smila, and spending time with her family someplace warm.

Prompt Engineer 86

Prompt Engineer Prompt Engineering Data Scientist Machine Learning 86

BAIR

APRIL 29, 2022

While these failure modes are closely related to control and behavioral feedback, Exo-feedback does not map as clearly to one type of error and introduces risks that do not fit into simple categories. minimize travel time”) remains the same. work together on real world RL deployments. This is true even if the objective (e.g.

Robotics 147

Robotics Machine Learning Computer Vision ML 147

AWS Machine Learning Blog

FEBRUARY 13, 2024

There are two distinct categories of permissions associated with sharing resources: Discoverability permissions – Discoverability means being able to see feature group names and metadata. In his leisure time, he indulges in his love for travel and cherishes quality moments with his family.

ML 105

ML ML Engineer Machine Learning Data Scientist 105

AWS Machine Learning Blog

AUGUST 3, 2023

The function returns one or more labels for each object in the image and bounding box details for all of the detected object labels as part of the response, along with other information like confidence of the assigned label, the ancestor labels of the detected label, possible aliases for the label, and the categories the detected label belongs to.

Computer Vision 63

Computer Vision Data Scientist ML Deep Learning 63

ODSC - Open Data Science

MARCH 8, 2024

For example, a travel recommendation system could consider both textual descriptions and user-generated photos to suggest personalized destinations. It can perform various image classification tasks by simply providing the names of the visual categories in natural language, without any fine-tuning or labeled data.

Large Language Models 52

Large Language Models Convolutional Neural Networks LLM Neural Network 52

Unite.AI

APRIL 25, 2024

The user requests the system for a trip information following which, the travel agent breaks down the task into executable steps. Starting off with the application layer, this layer is used for developing and deploying application agents like math or travel agents.

LLM 200

LLM Large Language Models Software Development BERT 200

AWS Machine Learning Blog

APRIL 21, 2023

The target attribute is binary, meaning the model predicts the output as one of two categories ( True or False ). Outside work, Sovik enjoys traveling and watching movies. In his spare time, he enjoys traveling and exploring new places. The last attribute, Churn , is the attribute that we want the ML model to predict.

Data Drift 74

Data Drift Metadata Data Quality ML 74

Heartbeat

MARCH 1, 2023

For instance, picture classification can be used in self-driving automobiles to recognize and classify items like vehicles, people, and traffic signs so that the vehicle can travel safely. The fourth layer then includes 10 categories to reflect the 10 sample images that are included in our dataset.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Auto-classification Categorization 52

Unite.AI

APRIL 4, 2024

Videoleap Key Features Videoleap's features can be divided into three categories: AI Tools, Editing Tools, and Customizable Templates. I'll discuss the tools in each category so you know what Videoleap is capable of. It's a fast and easy way to create engaging reels for travel, celebrations, boosting your brand, and more.

Auto-complete 147

Auto-complete AI Tools AI AI 147

AWS Machine Learning Blog

SEPTEMBER 5, 2023

We use the powerful generating capability of LLMs to generate the final decision including safe/unsafe labels and category type. The designed prompt template allows the LLM to determine if the image violates the moderation policy, identify the category of violation, explain why, and provide the output in a structured JSON format.

Generative AI 95

Generative AI LLM ML Computer Vision 95

Unite.AI

DECEMBER 22, 2023

Example 3: Travel Advice Ineffective Prompt : "What should I do in Paris?" Whether it's a recipe, a travel plan, or a technical solution, make your objective clear. Effective Approach : Classifying the query into categories and providing targeted assistance. It's been years,' Jack said, his voice as dry as the air.

Prompt Engineer 235

Prompt Engineer Prompt Engineering ChatGPT Python 235

Unite.AI

SEPTEMBER 25, 2023

With a myriad of customization options, it stands out as one of the most adjustable engines in this category. Flexible Settings: Including a no-meeting day option and adjustable lunch and travel times. Its onboarding experience is meticulously designed to balance meetings and focused work efficiently.

Natural Language Processing 278

Natural Language Processing Automation AI AI 278

Topbots

MARCH 18, 2024

Top Use Cases Across Different Categories Custom GPTs are specifically crafted to serve a wide range of purposes, from generating content to conducting intricate analyses. Visuals The visual category of custom GPT applications brings a new dimension to creativity and design.

AI Tools 52

AI Tools Artificial Intelligence Artificial Intelligence Prompt Engineer 52

AWS Machine Learning Blog

OCTOBER 6, 2023

The text prompt (image classes, categories, or tags) whose embedding is most similar (for example, has the smallest distance) to the image embedding is considered the most relevant, and the image is classified accordingly. Outside of work, he enjoys reading and traveling. In his free time, he enjoys traveling and photography.

Generative AI 97

Generative AI Prompt Engineer Prompt Engineering Computer Vision 97

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Document categorization or classification has significant benefits across business domains – Improved search and retrieval – By categorizing documents into relevant topics or categories, it makes it much easier for users to search and retrieve the documents they need. They can search within specific categories to narrow down results.

Categorization 95

Categorization Machine Learning Data Scientist Natural Language Processing 95

AWS Machine Learning Blog

DECEMBER 5, 2023

Amazon Comprehend custom classification API is used to organize your documents into categories (classes) that you define. Specifically, in multi-class mode, classification assigns one class for each document, while in multi-label mode, individual classes represent different categories that aren’t mutually exclusive. append(e["Text"].upper())

Metadata 98

Metadata Auto-classification Auto-complete Content Enrichment 98

AWS Machine Learning Blog

DECEMBER 20, 2023

Recent advances in ML have given rise to a new class of models known as foundation models , which are typically trained on billions of parameters and are adaptable to a wide category of use cases, such as text summarization, digital art generation, and language translation.

Machine Learning 101

Machine Learning Algorithm LLM ML 101

AWS Machine Learning Blog

NOVEMBER 30, 2023

The prompts are divided into different knowledge categories such as capitals, subsidiaries, and others. The evaluation measures the percentage of correct answers overall and per category. The above example is from the “gender/gender identity” category. In his spare time, he loves traveling and writing.

Large Language Models 88

Large Language Models LLM Algorithm Responsible AI 88

John Snow Labs

JUNE 27, 2023

Fine-grained Sentiment Analysis: Large Language Models (LLMs) enable fine-grained sentiment analysis by classifying text into multiple sentiment categories such as positive, negative, neutral, or even more granular categories like very positive, slightly negative, etc. John Snow Labs employs LLMs in NLP for language translation tasks.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

AWS Machine Learning Blog

OCTOBER 9, 2023

Text analysis allows you to classify text into two or more categories using custom models. To train a text analysis custom model, you simply provide a dataset consisting of the text and the associated categories in a CSV file. The dataset requires a minimum of two categories and 125 rows of text per category.

Machine Learning 80

Machine Learning Categorization ML DevOps 80