Unite.AI

AUGUST 19, 2023

Here is a look at some of the best features of Jasper: More than 11,000 free fonts and 2,500 categories of writing styles Supports 25+ languages Intuitive interface Long-form writing assistant (1,000+ words) Identify key elements in text (pronouns, verbs, names, etc.) Also see how Jasper compares against leading AI writing generators.

AI Tools 240

AI Tools AI AI Artificial Intelligence 240

ODSC - Open Data Science

JUNE 1, 2023

Editor’s note: Mark Needham is a speaker for ODSC Europe this June. Building a Pizza Delivery Service So that’s the theory, but how do we put it into practice? I think it’s always fun to build an end-to-end example, so we’re going to look at how an online pizza service might use Real-Time Analytics to manage its business.

Data Science 98

Data Science Data Platform Machine Learning Python 98

ODSC - Open Data Science

FEBRUARY 28, 2024

Editor’s note: Sara Zanzottera is a speaker for ODSC East this April 23–25. How does a RAG application fail? Be sure to check out her talk, “ RAG, the bad parts (and the good!): Retrieval Augmented Generation (RAG) is by far one of the most popular and effective techniques to bring LLMs to production.

LLM 52

LLM Chatbots Data Science Software Engineer 52

AWS Machine Learning Blog

OCTOBER 24, 2023

T-Mobile US, Inc. provides a Voicemail to Text service to its customers, which allows customers to quickly read through their voicemails and respond to and manage messages in any order without having to dial into their voicemailbox. In 2023, T-Mobile launched the Voicemail to Text Translate feature.

Artificial Intelligence 90

Artificial Intelligence Artificial Intelligence Machine Learning Generative AI 90

Allen AI

DECEMBER 31, 2023

Impact-guided innovation uses data from real problems rather than stereotyped datasets and measures success by how the model will be used in practice rather than against a leaderboard. Eleven billion snow crabs vanished from the Bering Sea, causing Alaska to cancel its crabbing season for the first time in history.

Computer Vision 94

Computer Vision AI AI Artificial Intelligence 94

Marktechpost

JULY 17, 2023

Criminal IP: AI-based Phishing Link Checker This is a free extension that uses AI for real-time scanning and classification into five categories: Safe, Low, Moderate, Dangerous, and Critical, thus protecting against phishing, ransomware, malware, and fraud. The program may produce blog entries, ad copy, and social media updates. Seamless.ai

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI AI 98

Allen AI

AUGUST 16, 2023

In past years, Hackathon projects have led to hilarious digital versions of AI2 employees and dubious smart speaker apps, but they’ve also ended up in projects that went farther than the 2.5-day day hacking spree. day hacking spree. For example, SUPP.AI We all have interesting work to do. Oftentimes, serendipity leads to good ideas!”

Software Engineer 52

Software Engineer Machine Learning Python AI Researcher 52

ODSC - Open Data Science

SEPTEMBER 8, 2023

Editor’s note: Evie Fowler is a speaker for ODSC West. At this Fall’s Open Data Science Conference , I will talk about how to bring a systematic approach to the interpretation of clustering models. Be sure to check out her talk, “ Bridging the Interpretability Gap in Customer Segmentation ,” there! print(nps(0.2)) #(0.0,

Data Science 52

Data Science Data Scientist AI AI 52

ODSC - Open Data Science

MARCH 8, 2024

Editor’s note: Valentina Alto is a speaker for ODSC East this April 23–25. Non-Transparent Reasoning : Understanding how LLMs arrive at their decisions remains challenging. Let’s explore why RAG is important and how it bridges the gap between LLMs and external knowledge. What is RAG? This step involves the concept of embedding.

Large Language Models 52

Large Language Models Convolutional Neural Networks LLM Neural Network 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. Text data: video titles, descriptions, categories, tags filled in by content creators, and comments left by content consumers.

Data Science 52

Data Science Natural Language Processing Python Machine Learning 52

AI News

MAY 14, 2024

This segmentation led to loss of nuances such as tone, multiple speakers, and background noise. And especially when it comes to a different mode of human-computer interaction, there is even more room for diverse beliefs about how useful it’s going to be. seconds for GPT-3.5 seconds for GPT-4. seconds for GPT-3.5

OpenAI 272

OpenAI Big Data Neural Network AI 272

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. We first delve into the vulnerabilities, threats, and risks that arise from the implementation, deployment, and use of LLM solutions, and provide guidance on how to start innovating with security in mind.

Generative AI 122

Generative AI LLM ML AI 122

Sebastian Ruder

JUNE 6, 2022

Overall, the panelists emphasised that working with such languages requires respect—towards the speakers, the culture, and the languages themselves. The latter is an example of how multimodal approaches can benefit language diversity. frontness of the tongue) and category (e.g., frontness of the tongue) and category (e.g.,

NLP 52

NLP Natural Language Processing Computational Linguistics Neural Network 52

Unite.AI

JUNE 30, 2023

Sandy Pentland developed fundamental basic science demonstrating the presence and power of social signals in human communication and the ability of machines to detect and interpret them. In 2007, Cogito was spun out from the MIT Media Lab. Could you share this genesis story?

Emotion AI 296

Emotion AI Machine Learning Conversational AI Natural Language Processing 296

The MLOps Blog

JANUARY 25, 2023

It is frequently used to assess a speaker or writer’s perspective on a subject or the overall contextual polarity of a piece of writing. It helps businesses to identify how customers are reacting toward their products and services. Different sets of words are first labeled into three different categories.

BERT 52

BERT Natural Language Processing ML Deep Learning 52

AssemblyAI

DECEMBER 7, 2023

Unlike the fields of image and language processing, which have seen the development of foundational models transforming how AI systems interact with visual and textual data, the realm of audio processing has largely lacked such a unifying framework.

Explainability 278

Explainability Large Language Models AI AI 278

Hal Daumé III

JUNE 12, 2018

Normal 0 false false false EN-US X-NONE X-NONE A while ago I created this image for thinking about how machine learning systems tend to get deployed. Below are some thoughts on how this might happen. increase revenue) and design a machine learning system to achieve that. I actually don’t have anything to say on this one.

Machine Learning 40

Machine Learning Neural Network 40

ODSC - Open Data Science

APRIL 28, 2023

Editor’s note: Benjamin Batorsky, PhD is a speaker for ODSC East 2023. The device in the second panel says “I’m well”, which is both an answer to the question “How are you” and pointing out that the device is, in fact, a well. Be sure to check out his talk, “ Bagging to BERT — A Tour of Applied NLP ,” there! It’s all about context!

Deep Learning 98

Deep Learning Convolutional Neural Networks Neural Network NLP 98

Google Research AI blog

FEBRUARY 17, 2023

Although such varieties are often mutually intelligible to their speakers, there are still important differences. Also, region-unaware MT systems tend to favor whichever variety has more data available online, which disproportionately affects speakers of under-resourced language varieties.

Data Scarcity 117

Data Scarcity Computational Linguistics Software Engineer Categorization 117

Defined.ai blog

AUGUST 29, 2022

Speaker Generation Daisy Stanton, Matt Shannon, Soroosh Mariooryad, RJ Skerry-Ryan, Eric Battenberg, Tom Bagby and David Kao Google Research, USA See paper here. The goal of the article is to generate novel speakers in a self-contained TTS system. Welcome back, dear readers, to Defined.ai’s highlights of ICASSP 2022!

Metadata 52

Metadata Explainability ML AI 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. It also provides guidance to tackle common challenges, enabling you to architect your IDP workloads according to best practices.

IDP 81

IDP Auto-classification Machine Learning Auto-complete 81

Sebastian Ruder

NOVEMBER 14, 2022

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. This post takes a closer look at how the AI community is faring in this endeavour.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics AI 52

Snorkel AI

OCTOBER 27, 2023

Snorkel AI held its Enterprise LLM Virtual Summit on October 26, 2023, drawing an engaged crowd of more than 1,000 attendees across three hours and eight sessions that featured 11 speakers. Here are a few recommendations on how enterprises can develop and deploy LLMs with confidence.

LLM 69

LLM Data Scientist Machine Learning Large Language Models 69

Snorkel AI

OCTOBER 27, 2023

Snorkel AI held its Enterprise LLM Virtual Summit on October 26, 2023, drawing an engaged crowd of more than 1,000 attendees across three hours and eight sessions that featured 11 speakers. Here are a few recommendations on how enterprises can develop and deploy LLMs with confidence.

LLM 59

LLM Data Scientist Machine Learning Large Language Models 59

AI Impacts

DECEMBER 22, 2022

An alternative or complementary kind of response is to try to avert such machines being built at all, at least while the degree of their apocalyptic tendencies is ambiguous. An alternative or complementary kind of response is to try to avert such machines being built at all, at least while the degree of their apocalyptic tendencies is ambiguous.

AI 130

AI AI AI Researcher AI Research 130

Marktechpost

JUNE 23, 2023

The paper explores the idea of uni-modal training and how it differs from multi-modal adaptations. The researchers then review the existing VLP models and how they adapt and emerge in the field on different fronts. The researchers then review the existing VLP models and how they adapt and emerge in the field on different fronts.

BERT 52

BERT AI Tools Categorization AI 52

NVIDIA

OCTOBER 25, 2023

Another poster describes work that improves how text-to-image models generate concepts rarely seen in training data. Set for Dec. 10-16 in New Orleans, NeurIPS brings together experts in generative AI, machine learning, computer vision and more.

Neural Network 107

Neural Network Robotics Computer Vision Generative AI 107

Google Research AI blog

JANUARY 18, 2023

Our ongoing work on LaMDA explores how these models can be used for safe, grounded, and high-quality dialog to enable contextual multi-turn conversations. I’ve always been interested in computers because of their ability to help people better understand the world around them. We want to solve complex mathematical or scientific problems.

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132

The MLOps Blog

JANUARY 19, 2024

How do you decide on the right model to use in this scenario? How do you decide on the right model to use in this scenario? Imagine you’re facing the following challenge: you want to develop a Large Language Model (LLM) that can proficiently respond to inquiries in Portuguese. The workflow we’ll implement.

LLM 52

LLM Auto-complete Large Language Models Natural Language Processing 52

AWS Machine Learning Blog

NOVEMBER 14, 2023

It also categorizes text into the following seven categories and provides a confidence score for each: HATE_SPEECH – Speech that criticizes, insults, denounces, or dehumanizes a person or a group on the basis of an identity, be it race, ethnicity, gender identity, religion, sexual orientation, ability, national origin, or another identity group.

Natural Language Processing 91

Natural Language Processing Categorization ML Machine Learning 91

Flipboard

MARCH 6, 2023

If you’ve watched the rise and fall of crypto or heard grandiose plans about how we would all be living in the metaverse by now, you may be wondering: Is the excitement about generative AI just hype? It should reflect the excitement and fear about the power of generative AI.” | DALL-E It isn’t theoretical. It’s going to take away our jobs.

Generative AI 123

Generative AI OpenAI AI AI 123

Sebastian Ruder

DECEMBER 6, 2021

In the tutorial, we focus on two main categories of question answering studied in the literature: open-retrieval question answering (ORQA) and reading comprehension (RC). We then process these documents to identify the relevant answer as can be seen below. Open-Retrieval Question Answering (image based on Chen et al., What is a Domain?

BERT 52

BERT NLP Natural Language Processing Computational Linguistics 52

ODSC - Open Data Science

AUGUST 9, 2023

Editor’s note: Suman Debnath is a speaker for ODSC APAC this August 22–23. Understanding the Session In this engaging and interactive session, we will delve into PySpark MLlib, an invaluable resource in the field of machine learning, and explore how various classification algorithms can be implemented using AWS Glue/EMR as our platform.

Machine Learning 52

Machine Learning Big Data Data Science Algorithm 52

Probably Approximately a Scientific Blog

AUGUST 14, 2018

We don’t really know how or why it works, and attempts to interpret it still only scratch the surface. We don’t really know how or why it works, and attempts to interpret it still only scratch the surface. It’s a challenge to explain deep learning using simple concepts and without the caveat of remaining at a very high level.

Deep Learning 52

Deep Learning NLP Neural Network Machine Learning 52

Ines Montani

FEBRUARY 16, 2024

People often ask me for tips and tooling recommendations, so in this guide, I’m sharing some of my not-so-secret secrets and three beginner-friendly steps for how you can up your slides game for the upcoming conference season! It’s fun and keeps me motivated to put in the work and actually write my talks.

Explainability 144

Explainability 144

AWS Machine Learning Blog

SEPTEMBER 12, 2023

This is a guest post from Scalable Capital , a leading FinTech in Europe that offers digital wealth management and a brokerage platform with a trading flat rate. Scalable receives hundreds of email inquiries from our clients on a daily basis. Problem statement Scalable Capital is one of the fastest growing FinTechs in Europe.

Data Scientist 96

Data Scientist Data Science NLP Machine Learning 96

ML @ CMU

FEBRUARY 29, 2024

Additionally, certain groups such as nonbinary people and non-native English speakers are further marginalized by datasets and models as they rank least in alignment across all tasks. In a discussion of the implications of our results, we consider how positionality may manifest in other NLP tasks. Carl from the U.S.

NLP 70

NLP AI AI Machine Learning 70