Unite.AI

AUGUST 1, 2023

This distinguishing attribute lets them undertake diverse tasks, including generating text, images, music, and video. Poorly-defined prompts can result in output that is not helpful to the user and may even lead to misleading content. Generative models like GPT-4 can produce new data based on existing inputs.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

AWS Machine Learning Blog

OCTOBER 6, 2023

These models process and generate content across various data forms, like text and images. Furthermore, we discuss the diverse applications of these models, focusing particularly on several real-world scenarios, such as zero-shot tag and attribution generation for ecommerce and automatic prompt generation from images.

Generative AI 91

Generative AI Prompt Engineer Prompt Engineering Computer Vision 91

Unite.AI

DECEMBER 26, 2023

Regardless, the realistic AI voices are worth checking out, particularly for video game developers and ASMR content creators. In 2022, they established AI startup ElevenLabs in New York City to eliminate language barriers in content. ElevenLabs is an excellent tool for anyone interested in creating high-quality audio content.

AI 182

AI AI Chatbots AI Chatbots 182

Snorkel AI

MARCH 27, 2024

You’ll learn how Fortune 500 enterprises have built production-ready, highly custom AI solutions using Google Gemini and PaLM 2 models, Vertex AI, and Snorkel Flow. You’ll find out how highly accurate product tags can be extracted from supplier-provided labels and product images to clean and enrich online catalogs.

Machine Learning 52

Machine Learning Generative AI ML Explainability 52

Snorkel AI

MARCH 27, 2024

You’ll learn how Fortune 500 enterprises have built production-ready, highly custom AI solutions using Google Gemini and PaLM 2 models, Vertex AI, and Snorkel Flow. You’ll find out how highly accurate product tags can be extracted from supplier-provided labels and product images to clean and enrich online catalogs.

Machine Learning 52

Machine Learning Generative AI ML Explainability 52

Artificial Corner

JULY 2, 2023

Its harmonious integration with machine learning models ushers forth a realm where data extraction and analysis from websites and diverse sources become attainable endeavors. Changing Element Content You can change the content of an element using the .string Prepare yourself, for the adventure begins forthwith.

Machine Learning 73

Machine Learning Data Extraction Natural Language Processing Python 73

Viso.ai

MAY 13, 2024

The process involves classifying blocks of text, tagging text elements for semantic annotation and understanding, or associating intent with conversational data. Diversity increases the complexity of collected and annotated data. Entity Tagging Natural language text comprises various elements that give meaning to the text’s semantics.

Computer Vision 52

Computer Vision Natural Language Processing Categorization Chatbots 52

Allen AI

AUGUST 18, 2023

Today, we release our first data artifact in this project —  Dolma ¹, a dataset of 3 trillion tokens from a diverse mix of web content, academic publications, code, books, and encyclopedic materials. In practice, this means using similar document sources and widely-adopted techniques for preprocessing and filtering content.

Auto-complete 98

Auto-complete Large Language Models NLP Explainability 98

Pragnakalp

JANUARY 1, 2024

This game-changing model not only outperforms LLaMA 2 70B but also defines itself as a dependable and fast solution suitable for a wide range of AI agent applications, ushering in the era of open-weight LLMs. ") messages = [ {"role": "user", "content": "I am curious to know about chemisty."},

Natural Language Processing 52

Natural Language Processing Neural Network Convolutional Neural Networks LLM 52

Unite.AI

MAY 8, 2024

Their diverse range of pricing options and flexibility make them stand out in terms of affordability, earning them a perfect score of 5.0 DigitalOcean Hosting on Cloudways Most Popular Plan: 4GB RAM, 2 Core Processor, 80GB Storage, 4TB Bandwidth for $54/mo. Therefore, they receive a score of 4.5 for features. in this category.

Automation 130

Automation Machine Learning AI AI 130

AssemblyAI

SEPTEMBER 22, 2023

Last year’s emergence of user-friendly interfaces for models like DALL-E 2 or Stable Diffusion for images and ChatGPT for text generation was key to boost the world’s attention to generative AI. in the form of an image caption) and image attributes ( content and qualities ).

Convolutional Neural Networks 246

Convolutional Neural Networks AI AI Data Scarcity 246

Marktechpost

JULY 5, 2023

GPT-2 OpenAI published GPT-2 in 2019 to replace GPT-1. GPT-2’s capacity to construct logical and plausible text sequences was one of its strengths. Its ability to mimic human reactions also makes it a useful resource for various applications in natural language processing, including content generation and translation.

Natural Language Processing 111

Natural Language Processing OpenAI NLP AI Tools 111

Defined.ai blog

APRIL 27, 2023

It contains copious and diverse examples of people exhibiting different behaviors, including facial expressions, head angles, demographics, age, and more. An entertainment company can use emotion detection models to analyze how people react to different types of content and tailor their marketing strategies accordingly.

Computer Vision 52

Computer Vision ML AI AI 52

ODSC - Open Data Science

JUNE 13, 2023

It is important for data practitioners, consumers, and companies that make use of this data to understand where it comes from and how it is consumed by content creators, content consumers, and businesses. Million in 2020 as per [2]. Video data: visual (frames) and audible contents of videos.

Data Science 52

Data Science Natural Language Processing Python Machine Learning 52

Unite.AI

JULY 27, 2023

Essentially, Stable Diffusion is an open-source model that skillfully transforms text prompts into images of varying styles and content. Due to the substantial computing power required, especially from the graphics processing units (GPUs) and video memory usage for the denoising process, Mid-Journey's service comes with a price tag.

Prompt Engineer 246

Prompt Engineer Prompt Engineering AI AI 246

Chatbots Life

SEPTEMBER 11, 2023

Additionally, the article discusses the real-world implications of these tools across diverse fields, including academic writing, content creation, and software development. The Levenshtein Distance algorithm is employed to identify word permutations within an edit distance of 2 from the original word. Install the packages !pip

NLP 59

NLP Natural Language Processing Python Algorithm 59

Unite.AI

DECEMBER 11, 2023

This leads to creating SEO-friendly content that can be used across various platforms, including social media , to enhance user experience and boost engagement. More: Edit the title, description, tags, and more. Summarize long-form content into bullet points using AI in seconds. Getting started was seamless.

AI 255

AI AI Automation Artificial Intelligence 255

Unite.AI

FEBRUARY 22, 2024

As we navigate through 2024, the CRM landscape continues to evolve, offering an array of solutions tailored to meet diverse business needs. It's used by over 25,000 businesses globally, a testament to its effectiveness and appeal in diverse industries. This makes it a flexible tool that can adapt to diverse CRM requirements.

Automation 147

Automation Software Development Artificial Intelligence Artificial Intelligence 147

Towards AI

AUGUST 9, 2023

Similarly, MM-ReAct [2] incorporates visual information in the forms of image captioning, dense captioning, image tagging, etc., Firstly, conversation, which involves generating a set of a diverse set of questions asked about the content of images. inside the prompt to feed to the LLM.

Explainability 91

Explainability LLM ChatGPT Large Language Models 91

Heartbeat

OCTOBER 19, 2023

They are trained on massive datasets comprising diverse text sources, such as books, articles, websites, and more. Text Generation: LLMs can generate human-like text, which has applications in content creation, chatbots, and even creative writing. Step 2: Click on the icon in the right-hand corner that has the ‘NEW PROJECT’ tag.

Large Language Models 52

Large Language Models LLM Metadata Deep Learning 52

AWS Machine Learning Blog

NOVEMBER 1, 2023

However, like other nascent technologies, obstacles remain in managing model intricacy, harmonizing diverse modalities, and formulating uniform evaluation metrics. TGI’s versatility extends across domains, enhancing chatbots, improving machine translations, summarizing texts, and generating diverse content, from poetry to code.

Auto-classification 87

Auto-classification LLM Auto-complete Generative AI 87

Google Research AI blog

JUNE 23, 2023

In “ HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network ”, presented at NSDI 2023 , we introduce a scalable state-of-the-art cache eviction framework that is based on learned rewards and uses preference learning with automated feedback. Another advantage of online training is specialization.

Automation 79

Automation Neural Network Software Engineer Metadata 79

Flipboard

OCTOBER 9, 2023

We will create a Dockerfile for an API that returns the sum of 2 numbers, create a Docker image for it, and run a container from that image. This piece of code allows us to deploy an API that listens on port 8000 for requests with 2 numbers as JSON arguments, sums them up, and returns them as a result. Let’s get started!

Machine Learning 116

Machine Learning Computer Vision Deep Learning Python 116

Viso.ai

FEBRUARY 7, 2024

Action recognition is typically applied in scenarios where understanding the overall action category is enough, such as video tagging, content-based video retrieval, and activity monitoring. Action localization considers time and space when detecting actions in video content – source. 3DConv vs. (2+1)D conv – source.

Deep Learning 52

Deep Learning Computer Vision Robotics Convolutional Neural Networks 52

John Snow Labs

MAY 22, 2023

After thorough research of an annotation tool for text content, they chose NLP Lab, because of its out-of-the-box pre-annotation features that allow automatic annotation of travel reviews with entities, relations, or sentiment tags. The starting point of their analysis was the TripAdvisor reviews dataset they gathered for the project.

NLP 52

NLP Explainability 52

AWS Machine Learning Blog

MAY 5, 2023

Although articles of clothing are labeled with categories (and subcategories) and contain a variety of helpful tags that are extracted from the original product descriptions, the data is not systematically labeled with pattern or style information. It’s an established and well-cited dataset, but it isn’t directly suited for your use case.

Metadata 73

Metadata Computer Vision Machine Learning Data Scientist 73

Google Research AI blog

JUNE 7, 2023

After developing a new model, one must evaluate whether the speech it generates is accurate and natural: the content must be relevant to the task, the pronunciation correct, the tone appropriate, and there should be no acoustic artifacts such as cracks or signal-correlated noise. cracks and pops), incorrect prosody (e.g.,

BERT 82

BERT 82

Becoming Human

MAY 12, 2023

Video Annotation To annotate video content , labels are added so that it can be classified or given additional meaning. By annotating videos, viewers can find content easier, improve video search and retrieval, and enhance video search. However, this promises the accurate annotation and labeling of images.

Machine Learning 81

Machine Learning Computer Vision Automation Artificial Intelligence 81

Heartbeat

NOVEMBER 22, 2023

Table of Contents Introduction I. Use delimiters such as triple quotes (“‘xxx’”), triple backticks (```), triple dashes ( — -), angle brackets (< >), and XML tags. Principle 2: Give the Model Time to “Think” Comprehensive task steps : Break down complex tasks into step-by-step instructions.

Chatbots 52

Chatbots OpenAI Deep Learning Machine Learning 52

Mlearning.ai

FEBRUARY 26, 2024

Also remove noise data, this includes removing special characters, stop words (common words like “the” and “a”), and HTML tags. Adding Metadata Adding metadata, such as concept and level tags, to improve the quality of indexed data. Identify and correct errors: This includes spelling mistakes, typos, and grammatical errors.

Metadata 52

Metadata Large Language Models LLM Neural Network 52

AWS Machine Learning Blog

OCTOBER 30, 2023

Solution overview You can use generative AI to develop a diverse range of applications, such as text summarization, content moderation, and other capabilities. For Name tag , enter bedrock-vpce. On the Amazon VPC console, under Virtual private cloud in the navigation pane, choose Endpoints. Choose Create endpoint.

Generative AI 118

Generative AI ML Big Data Computer Vision 118

John Snow Labs

JULY 19, 2023

This landscape is a vibrant blend of commercial entities and open-source advocates, with a wealth of diversity in their origin stories, funding, and the models they have developed. Google’s PALM-2 (Bard) and Meta’s LLaMA models stand out, with the latter available as open-source for non-commercial uses. billion in funding by June 2023.

LLM 98

LLM OpenAI Large Language Models NLP 98

AWS Machine Learning Blog

FEBRUARY 29, 2024

To build Amazon Personalize artifacts in this post, we use a dataset from IMDb, the world’s most authoritative source for movie, TV, and celebrity content, available on AWS Marketplace, as well as the MovieLens dataset prepared by GroupLens research at the University of Minnesota, consisting of user rankings for various movies.

Auto-complete 85

Auto-complete AI AI ML 85

Heartbeat

DECEMBER 13, 2023

There are two ways you can do this: 1) Use the Tool dataclass 2) Subclass the BaseTool class Using the Tool dataclass This wraps functions that accept a single string input and return a string output. Add games won and games lost and multiply that result by 2") > Entering new AgentExecutor chain. Kings Franchise Index.

LLM 52

LLM Metadata Deep Learning Automation 52

Flipboard

DECEMBER 6, 2023

As part of their daily duties, IROs analyze diverse datasets, including CRM, ownership records, and stock market data. This approach worked well for text-based content, where the data consists of natural language with words, sentences, and paragraphs. You are tasked to generate a SQL statement from the instruction provided.

Chatbots 130

Chatbots LLM Prompt Engineer Prompt Engineering 130

Pickl AI

JULY 12, 2023

By comparing the student’s work with the vast database of sources, turning it in can identify the plagiarised content and generate detailed reports. Moreover, with its advanced research capabilities and personalised recommendations, tedCube streamlines the process of accessing scholarly content.

AI Tools 52

AI Tools AI AI Algorithm 52

PyImageSearch

JUNE 12, 2023

Home Table of Contents DETR Breakdown Part 2: Methodologies and Algorithms The DETR Model ?️ Summary Citation Information DETR Breakdown Part 2: Methodologies and Algorithms In this tutorial, we’ll learn about the methodologies applied in DETR. Connect with us on Twitter by tagging @pyimagesearch. Quiz Time! ?

Algorithm 60

Algorithm Computer Vision Deep Learning Artificial Intelligence 60