ODSC - Open Data Science

JANUARY 25, 2024

OpenAI Releases GPT Store The GPT Store showcases popular and trending GPTs across diverse categories such as DALL·E, writing, research, programming, education, and lifestyle. ODSC East Call for Volunteers Become a valued part of the ODSC Community and connect with an incredibly motivated group of Data Science enthusiasts!

LLM 52

LLM OpenAI Large Language Models Data Science 52

Unite.AI

FEBRUARY 16, 2024

Since its launch in 2020, the Buddy app has won several awards and topped the charts in the App Store's Kids and Education category with over 36M downloads worldwide. In 2014, you launched Cubic.ai, one of the first smart speakers and voice-assistant apps for smart homes. What were some of your key takeaways from this experience?

Natural Language Processing 173

Natural Language Processing AI AI UX Design 173

AWS Machine Learning Blog

OCTOBER 24, 2023

This new capability helps to break language barriers by making it easier for speakers of different languages to communicate. 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.

Artificial Intelligence 89

Artificial Intelligence Artificial Intelligence Machine Learning Generative AI 89

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

Allen AI

DECEMBER 31, 2023

AI2’s geospatial team released one of the largest and diverse satellite imagery datasets ever composed of Sentinel-2 and NAIP images with 302M labels under 137 categories and seven label types [ paper , demo , code ].

Computer Vision 94

Computer Vision AI AI Artificial Intelligence 94

ODSC - Open Data Science

JUNE 1, 2023

Editor’s note: Mark Needham is a speaker for ODSC Europe this June. We’ll also update our Streamlit dashboard to view the top-selling products and categories. About the author/ODSC Europe speaker: Mark Needham is an Apache Pinot advocate and developer relations engineer at StarTree.

Data Science 98

Data Science Data Platform Machine Learning Python 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. For example, SUPP.AI started as a Hackathon project that became one of the most widely accessed demos from AI2.

Software Engineer 52

Software Engineer Machine Learning Python AI Researcher 52

ODSC - Open Data Science

FEBRUARY 28, 2024

Editor’s note: Sara Zanzottera is a speaker for ODSC East this April 23–25. Be sure to check out her talk, “ RAG, the bad parts (and the good!): building a deeper understanding of this hot LLM paradigm’s weaknesses, strengths, and limitations ,” there to learn more about Retrieval Augmentation Generation! How does a RAG application fail?

LLM 52

LLM Chatbots Data Science Software Engineer 52

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.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI AI 98

AI News

MAY 14, 2024

This segmentation led to loss of nuances such as tone, multiple speakers, and background noise. Evaluations in areas like cybersecurity, persuasion, and model autonomy indicate that GPT-4o does not exceed a ‘Medium’ risk level across any category.

OpenAI 272

OpenAI Big Data Neural Network AI 272

ODSC - Open Data Science

SEPTEMBER 8, 2023

Editor’s note: Evie Fowler is a speaker for ODSC West. labels_) This process scales easily when more cluster categories are needed. Be sure to check out her talk, “ Bridging the Interpretability Gap in Customer Segmentation ,” there! To get ready for that, let’s talk about data visualization for clustering models. . """

Data Science 52

Data Science Data Scientist AI AI 52

ODSC - Open Data Science

JUNE 13, 2023

Text data: video titles, descriptions, categories, tags filled in by content creators, and comments left by content consumers. She is a public speaker and has spoken at over 15+ conferences in Python and Data Science. Video data: visual (frames) and audible contents of videos.

Data Science 52

Data Science Natural Language Processing Python Machine Learning 52

Unite.AI

DECEMBER 4, 2023

Thanks to the approach it follows, the StyleTTS2 framework outperforms current state of the art frameworks for speech generation tasks, and is one of the most efficient frameworks for pre-training large-scale speech models in zero-shot setting for speaker adaptation tasks.

AI 130

AI AI Artificial Intelligence Artificial Intelligence 130

ODSC - Open Data Science

MARCH 8, 2024

Editor’s note: Valentina Alto is a speaker for ODSC East this April 23–25. 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

JUNE 30, 2023

Cogito uses a ‘fairness’ dataset comprised of a large body of audio data where the speakers self-report different demographic categories. All models are assessed against the fairness dataset and against the various demographic categories.

Emotion AI 296

Emotion AI Machine Learning Conversational AI Natural Language Processing 296

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. frontness of the tongue) and category (e.g., In contrast, current language technology mainly caters to monolingual speakers. Hershcovich et al.

NLP 52

NLP Natural Language Processing Computational Linguistics Neural Network 52

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. Different sets of words are first labeled into three different categories. If any of these words are detected in the text, then it is classified in one of the given sentiment categories.

BERT 52

BERT Natural Language Processing ML Deep Learning 52

Sebastian Ruder

JULY 31, 2020

The size and colour of a circle represent the number of languages and speakers respectively in each category. Colours (on the VIBGYOR spectrum; V iolet– I ndigo– B lue– G reen– Y ellow– O range– R ed) represent the total speaker population size from low (violet) to high (red).

NLP 78

NLP Natural Language Processing Machine Learning ML 78

AssemblyAI

DECEMBER 7, 2023

For example, prosody alone encodes a speaker's emotions, attitudes, and intentions through cues like tone, pace, emphasis, and loudness. Task Tag : Subsequent tokens define one of five task categories: transcription, translation, captioning, analysis, and question-answering.

Explainability 278

Explainability Large Language Models AI AI 278

Hal Daumé III

JUNE 12, 2018

Similarly, since human flash judgments may focus on less relevant features, we may be biasing toward authors who are native English speakers, because things like second language errors may disproportionately affect quick judgments.

Machine Learning 40

Machine Learning Neural Network 40

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. We are a data company after all.

Metadata 52

Metadata Explainability ML AI 52

ODSC - Open Data Science

APRIL 28, 2023

Editor’s note: Benjamin Batorsky, PhD is a speaker for ODSC East 2023. For doing the actual document-level categorization, this “contextualized representation” is then mean-aggregated and passed to a classification layer that predicts the category. In our sentiment analysis example, the two categories are “positive” or “negative”.

Deep Learning 98

Deep Learning Convolutional Neural Networks Neural Network NLP 98

AWS Machine Learning Blog

NOVEMBER 22, 2023

AWS Cost Anomaly Detection – Use AWS Cost Anomaly Detection for your accounts, core services, or cost categories you created to monitor your cost and usage and detect unusual spends. These will directly map to the structure of existing financial categories, such as business unit, budget, cost center, or department.

IDP 81

IDP Auto-classification Machine Learning Auto-complete 81

AWS Machine Learning Blog

JANUARY 26, 2024

And “Customer Chief Information Security Officers (CISOs) (or their respective teams) may want to take the time to ensure that they are well versed with all AWS services because there may be a security, risk, or compliance objective that can be met, even if a service doesn’t fall into the ‘Security, Identity, and Compliance’ category.”

Generative AI 122

Generative AI LLM ML AI 122

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. Around 400 languages have more than 1M speakers and around 1,200 languages have more than 100k [1].

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics AI 52

Marktechpost

JUNE 23, 2023

E.g., while analyzing a video, you undertake the audio, the transcription, and the speaker’s facial expression to truly “understand” the context. The researchers then provide an overview of the two main categories of pre-training the datasets, image-language models and video-language models.

BERT 52

BERT AI Tools Categorization 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. They then fine-tuned their own version, which human test subjects preferred over the baseline model in every measured category.

LLM 69

LLM Data Scientist Machine Learning Large Language Models 69

NVIDIA

OCTOBER 25, 2023

P-Flow features better pronunciation, human likeness and speaker similarity compared to recent state-of-the-art counterparts. The model can near-instantly convert text to speech on a single NVIDIA A100 Tensor Core GPU.

Neural Network 107

Neural Network Robotics Computer Vision Generative AI 107

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. They then fine-tuned their own version, which human test subjects preferred over the baseline model in every measured category.

LLM 59

LLM Data Scientist Machine Learning Large Language Models 59

Google Research AI blog

JANUARY 18, 2023

By training on many different examples of particular categories of objects (e.g., lots of single images of different cats), we can learn enough about the expected 3-D structure of objects to create a 3-D model from just a single image of a novel category (e.g., just a single image of your cat, as shown in the LOLCats clips below).

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132

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

AI Impacts

DECEMBER 22, 2022

Halting categories of work until strong confidence in its safety is possible, e.g. as would occur if AI researchers agreed that certain systems posed catastrophic risks and should not be developed until they did not. Could the speaker speak to a different ‘we’? Yeah probably on average, but not infinitely much.)

AI 130

AI AI AI Researcher AI Research 130

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). An emerging category of multilingual QA datasets is multilingual common sense reasoning. Finally, MKQA ( Longpre et al., 2019 ) to 25 other languages.

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. We selected a dataset comprising 20,057 dish names, each detailed with 680 columns that characterize the ingredient list, the nutritional content, and the dish’s category. A cordial greeting to all data science enthusiasts!

Machine Learning 52

Machine Learning Big Data Data Science Algorithm 52

Flipboard

MARCH 6, 2023

Friedman was one of many speakers that day who were adamant that recent advancements in AI are revolutionary, even if they weren’t perfect yet. “I I would put those risks in three categories: making factual errors, promoting offensive content, and taking over human beings’ livelihood or autonomy. Buckle up.” —Nat

Generative AI 123

Generative AI OpenAI AI AI 123

DataRobot Blog

MARCH 9, 2022

Clearly the speaker is raining praise on someone with next-level intelligence. The only caveat is that they must be adapted to classify inputs into one of n emotional categories rather than a binary positive or negative. Find out more about DataRobot MLOps here. Sentiment analysis invites us to consider the sentence, You’re so smart!

Machine Learning 52

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 52