Pickl AI

MAY 7, 2023

Data, analytics, AI, and robotics, today, the tech discussions revolve around these topics. One of them is the large volume of data that we are creating every day. But deploying conventional methods to extract insight from this data is not feasible. Here comes the role of Big Data. How Does Facebook Use This Data?

Big Data 52

Big Data Data Science Deep Learning Robotics 52

IBM Journey to AI blog

FEBRUARY 14, 2024

YouTube will deliver a curated feed of content suited to customer interests. Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating.

Computer Vision 221

Computer Vision Automation Robotics AI 221

NVIDIA

JANUARY 9, 2024

The top five current AI use cases were as follows: Personalized customer recommendations Store analytics and insights Loss prevention and asset protection Augmented reality experiences Automated marketing content generation While retailers are actively implementing AI, there are still areas they plan on exploring.

Generative AI 110

Generative AI AI AI Automation 110

AWS Machine Learning Blog

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock automates synchronization of your data with your vector store, including diffing the data when it’s updated, document loading, and chunking, as well as semantic embedding. RAG is a popular technique that combines the use of private data with large language models (LLMs). Choose Next.

Machine Learning 113

Machine Learning Computer Vision Generative AI Explainability 113

Topbots

JULY 7, 2023

After all the concerns raised by ChatGPT’s data outage on the past 20th of March, we quickly observed some reactions from the outside world. Italy banning ChatGPT for data privacy concerns. This article outlines the two major actions that OpenAI has taken regarding Data Privacy in the powerful AI-generation technology ChatGPT.

ChatGPT 52

ChatGPT Metadata OpenAI Large Language Models 52

Snorkel AI

SEPTEMBER 29, 2023

Data labeling remains a core requirement for any organization looking to use machine learning to solve tangible business problems, especially with the increased development and adoption of LLMs. This is where data labeling fits in. What is data labeling? This approach applies across all data modalities.

Large Language Models 59

Large Language Models Machine Learning Data Science Data Scientist 59

Marktechpost

JULY 5, 2023

Its ability to mimic human reactions also makes it a useful resource for various applications in natural language processing, including content generation and translation. GPT-3 can produce high-quality results on various NLP tasks with roughly a trillion words across the datasets with little to no training data.

Natural Language Processing 117

Natural Language Processing OpenAI NLP AI Tools 117

Pickl AI

AUGUST 1, 2023

The surge of digitization and its growing penetration across the industry spectrum has increased the relevance of text mining in Data Science. Text mining is primarily a technique in the field of Data Science that encompasses the extraction of meaningful insights and information from unstructured textual data.

Data Analysis 52

Data Analysis Python Categorization Data Mining 52

Pickl AI

JULY 12, 2023

It can solve complex mathematical equations, generate step-by-step solutions, provide scientific data, and offer insights on various subjects. By comparing the student’s work with the vast database of sources, turning it in can identify the plagiarised content and generate detailed reports.

AI Tools 52

AI Tools AI AI Algorithm 52

AWS Machine Learning Blog

APRIL 16, 2024

Here, you specify the bot’s name, the ARN of the role that you previously created, data privacy settings, and more: BookHotelBot: DependsOn: BotRuntimeRole # The role created in the previous step Type: AWS::Lex::Bot Properties: Name: "BookHotel" Description: "Sample Bot to book a hotel" RoleArn: !GetAtt

Automation 86

Automation Deep Learning Artificial Intelligence Artificial Intelligence 86

John Snow Labs

SEPTEMBER 26, 2023

According to the data collected by Forbes , over a half (53.3% to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” Additionally, the data indicates that 8.3%

NLP 52

NLP Large Language Models LLM Data Scientist 52

AWS Machine Learning Blog

JULY 3, 2023

In many cases, the content is text-heavy and often written in a different language and requires translation. To address this, you need an automated solution to extract the contents within these PDFs and translate them quickly and cost-efficiently. Sean Lawrence was formerly a Front End Engineer at AWS.

Automation 70

Automation ML Machine Learning Algorithm 70

How to Learn Machine Learning

JANUARY 21, 2023

At its core, AI relies on algorithms, data processing, and machine learning to generate insights from vast amounts of data. AI can facilitate data-driven decision making, enable autonomous systems in areas such as manufacturing or healthcare, and even help create personalized experiences for customers.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Robotics Natural Language Processing 52

AssemblyAI

APRIL 15, 2024

Plus, the scalability of manual transcription efforts is limited, struggling to keep pace with the massive increase in audio and video content. Speech AI technology often refers to speech-to-text AI models that transform voice data into actionable, accurate transcripts. What is Speech AI technology?

Natural Language Processing 147

Natural Language Processing AI AI AI Modeling 147

Unite.AI

OCTOBER 23, 2023

These AI-generated visuals can be used to create deceptive content that appears genuine, leading to serious consequences. The content originates from an unverified or suspicious source. This step does not always prevent deepfakes but can aid in verifying the authenticity of your content.

Metadata 189

Metadata AI AI Artificial Intelligence 189

Unite.AI

JANUARY 5, 2024

Originally, Instreamatic was born from a vision to transform how audio publishers monetize their content. It’s a supervised machine learning method where the model tries to predict the correct label of given input data. In terms of data handling, we have implemented robust data processing pipelines.

Generative AI 173

Generative AI Machine Learning Automation AI Modeling 173

AWS Machine Learning Blog

NOVEMBER 1, 2023

It refers to any data or information that can be used to identify a specific individual. PII is sensitive in nature and includes various types of personal data, such as name, contact information, identification numbers, financial information, medical information, biometric data, date of birth, and so on.

Software Engineer 87

Software Engineer Metadata Machine Learning Natural Language Processing 87

AWS Machine Learning Blog

MAY 15, 2024

In this post, we explore how to build an application that generates tests tailored to your own lecture content. Before creating the questions - Analyze the book found between tags, to identify distinct chapters, sections, or themes for question generation. - For MCQs, provide [n_mcq_options] options for each question.

Prompt Engineer 87

Prompt Engineer Prompt Engineering Generative AI Python 87

Flipboard

DECEMBER 6, 2023

These datasets are often a mix of numerical and text data, at times structured, unstructured, or semi-structured. In today’s fast-paced and data-driven financial landscape, Investor Relations Officers (IROs) play a critical role in fostering communication between a company and its shareholders, analysts, and investors.

Chatbots 130

Chatbots LLM Prompt Engineer Prompt Engineering 130

AWS Machine Learning Blog

MARCH 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Generative AI 120

Generative AI Prompt Engineer Prompt Engineering LLM 120

AWS Machine Learning Blog

MAY 13, 2024

Amazon Bedrock also comes with a broad set of capabilities required to build generative AI applications with security, privacy, and responsible AI. We used the MIMIC CXR dataset , which can be accessed through a data use agreement. A prompt has three main types of content: input, context, and examples.

Generative AI 105

Generative AI Prompt Engineer Prompt Engineering LLM 105

AWS Machine Learning Blog

SEPTEMBER 28, 2023

However, as organizations increasingly harness the power of FMs, concerns surrounding data privacy, security, added cost, and compliance have become paramount. Regulatory uncertainty, especially over IP and data privacy, requires observability, monitoring, and trace of generations.

Generative AI 96

Generative AI Metadata AI AI 96

AWS Machine Learning Blog

NOVEMBER 22, 2023

Use the “Generative AI” tag as you are browsing the session catalog to find them. Chalk talks – Enjoy 60 minutes of content delivered to smaller audiences with an interactive whiteboarding session. In this post, we give you a sense of how the track is organized and highlight a few sessions we think you’ll like.

ML 110

ML Generative AI Prompt Engineer Prompt Engineering 110

Mlearning.ai

DECEMBER 21, 2023

Concerns around copyright, privacy, security, ability to do mathematical calculations etc. LLMs are trained on massive amount of data. The data that LLMs are trained on is therefore historical (or dated).e.g. In essence, it meant creating a ChatGPT on proprietary data. Data in json, csv etc.

Large Language Models 94

Large Language Models LLM OpenAI ChatGPT 94

Snorkel AI

OCTOBER 12, 2023

Snorkel AI hosted the 2023 installment of its Future of Data-Centric AI virtual conference in June. The two-day event brought together researchers, practitioners, and industry leaders to discuss the latest trends and advances in data-centric AI, and we recorded each session as a video.

Data Scientist 64

Data Scientist AI AI ML 64

Snorkel AI

OCTOBER 12, 2023

Snorkel AI hosted the 2023 installment of its Future of Data-Centric AI virtual conference in June. The two-day event brought together researchers, practitioners, and industry leaders to discuss the latest trends and advances in data-centric AI, and we recorded each session as a video.

Data Scientist 59

Data Scientist AI AI ML 59

Unite.AI

FEBRUARY 22, 2024

Whether you're looking to enhance customer engagement, automate sales processes, or gain actionable insights from your data, our list will help you find the perfect CRM tool that aligns with your business goals. Reporting and Analytics: Delivers insightful data through customizable reports and dashboards, aiding strategic decision-making.

Automation 147

Automation Software Development Artificial Intelligence Artificial Intelligence 147

Flipboard

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Text, images, audio, and videos are common examples of unstructured data. After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value.

ML 132

ML Metadata AI AI 132

LevelAI

FEBRUARY 23, 2024

The objectives are clear: enhance AI cybersecurity, mitigate societal harms such as bias and privacy violations, and establish robust methods for recognizing AI-generated content. Fair and unbiased: We use human-in-the-loop evaluation and data preprocessing to mitigate bias in our models.

Responsible AI 52

Responsible AI AI AI Artificial Intelligence 52

ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. For example, Seek AI , a developer of AI-powered intelligent data solutions, announced it has raised $7.5

ChatGPT 124

ChatGPT Large Language Models OpenAI Conversational AI 124

AWS Machine Learning Blog

NOVEMBER 15, 2023

They are processing data across channels, including recorded contact center interactions, emails, chat and other digital channels. Content redaction: Each customer audio interaction is recorded as a stereo WAV file, but could potentially include sensitive information such as HIPAA-protected and personally identifiable information (PII).

Data Ingestion 111

Data Ingestion Metadata NLP Data Scientist 111

deepsense.ai

MAY 26, 2023

If we combine this idea with another AI model for speech-to-text, any team at a company could access technology similar to that owned by the superhero Tony Stark and efficiently work with the company or external data, which will of course provide a competitive advantage.

OpenAI 52

OpenAI Neural Network Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

JULY 3, 2023

In computer vision (CV), adding tags to identify objects of interest or bounding boxes to locate the objects is called labeling. It’s one of the prerequisite tasks to prepare training data to train a deep learning model. For a full list of features, refer to Amazon SageMaker Data Labeling Features.

Deep Learning 81

Deep Learning Auto-complete Machine Learning ML 81

Mlearning.ai

SEPTEMBER 4, 2023

It promises corporate data “will not be used to train models by default,” perhaps easing privacy concerns from leaking proprietary business strategies, intellectual property, and personal user data to third parties. 5],[6] Morgan Stanley is deploying ChatGPT on private servers to prevent data leakage. CA, NY, and MA).[1]

Generative AI 52

Generative AI Large Language Models AI AI 52

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. For example, neptune.ai and Pandas or Apache Spark DataFrames.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

ODSC - Open Data Science

FEBRUARY 8, 2024

An AI strategy is a framework that will help the organization understand what data-driven projects and data sources are the most valuable to the organization, and how to prioritize them to build toward their product vision over time. How can we build up toward our vision in terms of solvable data problems and specific data products?

AI Strategy 52

AI Strategy Data Scientist Data Science AI 52

Sebastian Ruder

NOVEMBER 14, 2022

Data is based on: ml_nlp_paper_data by Marek Rei. Given the general nature of these models, they can be applied to various types of data including images [7] , video [8] , and audio [9]. In speech, models such as XSLR [23] and UniSpeech [24] are pre-trained on large amounts of unlabeled data in 53 and 60 languages respectively.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics AI 52