Unite.AI

JULY 24, 2023

Other iconic companies, like Coca-Cola, have signed direct deals with OpenAI , to intensify its already compelling advertising and marketing efforts. This will be an extraordinary tool for marketers, who will now be able to tailor their campaigns and interact with customers in a more engaging way.

Generative AI 244

Generative AI AI Tools AI AI 244

Artificial Corner

JULY 27, 2023

Located in Dubai, UAE, this stunning deal is priced at just AED 55,000. Then tag the entities in each input file. With only 40,000 kilometers on the clock, this car is a true masterpiece. Its spacious interior, cutting-edge technology, and powerful performance make it a top choice for luxury car enthusiasts.

Machine Learning 98

Machine Learning Natural Language Processing Data Extraction Algorithm 98

IBM Journey to AI blog

OCTOBER 16, 2023

Facebook also uses ML to monitor Messenger chats for scams or unwanted contacts, such as when an adult sends a great deal of friend or message requests to people under 18. Then, it suggests the social media user tag that individual.

Machine Learning 129

Machine Learning ML Algorithm Chatbots 129

Unite.AI

DECEMBER 18, 2023

A critical facet of this workflow is the generation of embeddings from the transcripts, a step fundamental to the efficacy of our RAG-based tagging, classification models, and intricate summarizations. In navigating this intricate process, we meticulously transcribe, purify, and optimize the data to be ideally suited for LLM processing.

LLM 130

LLM Data Analysis Prompt Engineer Prompt Engineering 130

Towards AI

FEBRUARY 25, 2023

What’s missing from the data, and how do you deal with it? The type of missing data will influence how you deal with filling in the missing values. The goal here is to find out more about the data and become a subject matter expert on the dataset you are working with. The Shape of the Data Use ‘.shape’ Other times you’ll replace them.

Data Analysis 97

Data Analysis Data Science Machine Learning AI 97

IBM Journey to AI blog

AUGUST 16, 2023

One way that organizations can do this is through cost allocation tagging; this provides deeper visibility into tracking cloud usage and associated costs, providing visibility into excess costs within compute and memory. If the answer is no, you should attempt to renegotiate regardless of how much time is left on the current deal.

Automation 173

Automation DevOps Algorithm Machine Learning 173

Lexalytics

JUNE 11, 2021

Our customers encounter a significant problem: the siloing of data and inconsistent tagging of content that shields insights from departments that need to access it. Any industry that operates on multiple tiers and deals with large amounts of data can also win.

NLP 52

NLP Text Analytics ML AI 52

Google Research AI blog

JUNE 7, 2023

SQuId takes an utterance as input and an optional locale tag (i.e., The pooling / regression layer aggregates the vectors, appends the locale tag, and feeds the result into a fully connected layer that returns a score. Thus, we measure to what extent SQuId can deal with languages that it has never seen before.

BERT 82

BERT 82

IBM Journey to AI blog

APRIL 24, 2024

The price tag can add up quickly. The Health Insurance Portability and Accountability Act (HIPAA) is a federal law that deals with how healthcare providers, insurance companies, and other businesses safeguard personal health information. Organizations face fines of up to USD 7,500 per violation.

Automation 219

Automation Explainability Artificial Intelligence Artificial Intelligence 219

NLP For Hackers

SEPTEMBER 8, 2018

Let’s separate the words from the tags. Keras also needs to work with numbers , not with words (or tags). Let’s assign to each word (and tag) a unique integer. We’re computing a set of unique words (and tags) then transforming it in a list and indexing them in a dictionary.

Categorization 52

Categorization Deep Learning Natural Language Processing NLP 52

Bitext

SEPTEMBER 17, 2021

Considering the variety of texts involved in Big Data projects, this is a critical advantage that saves significant efforts in text tagging and algorithm training. This knowledge allows us to understand the structure of language and decompose it in different layers (morphology, syntax, semantics).

Machine Learning 52

Machine Learning Big Data Text Analytics Chatbots 52

Snorkel AI

JANUARY 9, 2024

Enhanced PDF capabilities Working with PDF data often involves annotating entire documents, not just individual tokens—especially when dealing with large files or sparse entities. Using Snorkel Flow 2023.R4, R4, users can now quickly and effortlessly sample specific documents at the document level using document IDs. R4 Snorkel Flow release.

Metadata 52

Metadata Machine Learning LLM AI Developer 52

Snorkel AI

JANUARY 9, 2024

Enhanced PDF capabilities Working with PDF data often involves annotating entire documents, not just individual tokens—especially when dealing with large files or sparse entities. Using Snorkel Flow 2023.R4, R4, users can now quickly and effortlessly sample specific documents at the document level using document IDs. R4 Snorkel Flow release.

Metadata 52

Metadata Machine Learning LLM AI Developer 52

Mlearning.ai

MAY 5, 2023

A basic introduction to large language models and their emergence Source: Here “GPT is like alchemy!”  — Ilya Sutskever, chief scientist of OpenAI WE CAN CONNECT ON :| LINKEDIN | TWITTER | MEDIUM | SUBSTACK | In recent years, there has been a great deal of buzz surrounding large language models, or LLMs for short.

Large Language Models 98

Large Language Models Neural Network Natural Language Processing Deep Learning 98

Ofemwire

MARCH 1, 2024

Optimizing content with relevant keywords, meta tags, headings, and other SEO elements can help improve its visibility and ranking. ” Stress Management Techniques : “Produce an informative article on stress management techniques and coping strategies for dealing with everyday stressors.

AI 111

AI AI Natural Language Processing Explainability 111

Hal Daumé III

JULY 26, 2016

I train an unsupervised HMM on some language data to get something-like-part-of-speech tags out. And naturally the question arises: these tags that come out. Take a system that expects true POS tags and give it induced POS tags instead (at both training and test time). what are they actually encoding? but okay.)

NLP 40

NLP 40

AWS Machine Learning Blog

JANUARY 17, 2023

In addition, to deal with multiple text fields, we separate these fields with the [SEP] token and alternate 0s and 1s as the segment IDs, as shown in the following diagram. /containers/huggingface_transformer_randomforest').resolve()), containers/huggingface_transformer_randomforest').resolve()), containers/autogluon_multimodal_ensemble').resolve()),

Categorization 70

Categorization BERT Machine Learning Neural Network 70

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

Ofemwire

SEPTEMBER 29, 2023

This feature is particularly useful for professionals who deal with a high volume of emails. ActiveInbox , like any software, comes with a price tag. Follow-Up Reminders: You can schedule follow-up reminders for emails, ensuring you don’t forget important conversations or tasks.

Categorization 52

Categorization Automation AI AI 52

IBM Journey to AI blog

JUNE 15, 2023

Asset management vs. parts inventory management: How it works While both types of management deal with things businesses own, asset management systems deal exclusively with equipment and supplies the company needs to operate. QR codes : QR codes are a significant upgrade on their predecessor, the universal barcode.

Artificial Intelligence 184

Artificial Intelligence Artificial Intelligence Machine Learning AI 184

NLP For Hackers

AUGUST 8, 2018

Let’s just quickly cover the data cleaning part: import re import pandas as pd from sklearn.model_selection import train_test_split def clean_review(text): # Strip HTML tags text = re.sub('<[^<]+?>', It fits perfectly for many NLP tasks like tagging and text classification.

NLP 52

NLP Deep Learning Natural Language Processing Neural Network 52

Unite.AI

FEBRUARY 22, 2024

This visualization is critical for understanding the different stages of the sales cycle, the potential value of deals, and the likelihood of closing them. The platform’s design enables users to access everything they need at a glance – whether it's contact info, deals, or scheduled activities.

Automation 147

Automation Software Development Artificial Intelligence Artificial Intelligence 147

Explosion

SEPTEMBER 17, 2013

There are a tonne of “best known techniques” for POS tagging, and you should ignore the others and just use Averaged Perceptron. You should use two tags of history, and features derived from the Brown word clusters distributed here. About 50% of the words can be tagged that way.

Python 40

Python Algorithm NLP Natural Language Processing 40

Pickl AI

APRIL 25, 2023

Using this technique, the network learns from data that gets a tag by changing the weights across the neurons. They are an efficient tool for dealing with complex problems and frequently outperform traditional machine learning techniques. The process of backpropagation is important to train neural networks. What is NLP?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 52

Marktechpost

MARCH 29, 2024

The manual tasks involved in tagging, categorizing, and optimizing for diverse platforms demand significant time and effort. Another buoyant sector, e-commerce , also deals with struggles when it comes to product images and videos. This kind of work is prone to inaccuracies, repetitive and time-consuming.

Visual AI 104

Visual AI Categorization Computer Vision Automation 104

AWS Machine Learning Blog

OCTOBER 2, 2023

Although developing such a pipeline can be challenging, it becomes even more complex when dealing with an edge ML use case. Use case: Inspecting the quality of metal tags As an ML engineer, it’s important to understand the business case you are working on. This helps avoid costly defects at later stages of the production process.

DevOps 92

DevOps Automation ML Computer Vision 92

AWS Machine Learning Blog

APRIL 24, 2023

Pro360 had to deal with a problem related to unreliable charges that led to consumer complaints and reduced trust with the brand. We use Amazon EC2 as the compute resource to build a front-end dashboard for the reviewer to tag the input data with lower confidence scores.

ML 62

ML NLP Machine Learning ETL 62

Pickl AI

OCTOBER 18, 2023

Algorithms for Data Quality Enhancement Choosing the right algorithms and queries is imperative for companies dealing with extensive datasets. Data Governance – AI-based classification and tagging of data to enforce data governance policies. – ML-driven access control and data privacy enforcement.

Data Quality 52

Data Quality ML Natural Language Processing Machine Learning 52

AssemblyAI

APRIL 15, 2024

Given the growing concerns over data privacy and the stringent regulations to protect sensitive information, this could be the differentiator you need to seal the deal. Entity Detection : Identify and tag relevant names, places, and brands in your transcriptions, offering valuable insights for content analysis.

Natural Language Processing 147

Natural Language Processing AI AI AI Modeling 147

deepsense.ai

FEBRUARY 6, 2024

The entire process can be further automated incorporating automatic image tagging using modules like RAM or Tag2Text. Prompt engineering : the provided prompt plays a crucial role, especially when dealing with compound nouns. Note that we still have to provide textual description. Using “headlight” as a prompt may be better.

Prompt Engineer 82

Prompt Engineer Prompt Engineering NLP Computer Vision 82

Explosion

MAY 8, 2016

The current release features high-accuracy syntactic dependency parsing, named entity recognition, part-of-speech tagging, token and sentence segmentation, and noun phrase chunking. Several methods have been proposed for dealing with non-projective arcs. join('{word}/{tag}'.format(word=t.orth_, join('{word}/{tag}'.format(word.orth_,

Convolutional Neural Networks 40

Convolutional Neural Networks NLP Algorithm Neural Network 40

How to Learn Machine Learning

APRIL 23, 2023

He has negotiated deals up to 500 million euros and has dealt with 1500 different products delivered by 70 suppliers every year. He has over 20 years of experience in procurement & negotiations: including 10+ years within the commercial department of a large global retailer and over five years in online start-ups & business funding.

Responsible AI 52

Responsible AI Artificial Intelligence Artificial Intelligence AI 52

Unite.AI

APRIL 4, 2024

The software's advanced OCR capabilities ensure high accuracy when processing rasterized documents, making it a reliable choice for businesses dealing with a diverse range of document formats. This feature significantly reduces the need for manual data entry, saving time and minimizing the risk of errors.

Automation 278

Automation Machine Learning AI AI 278

Heartbeat

FEBRUARY 8, 2023

Prolog enables users to create shorter, clearer programmes even when dealing with challenging AI problems. It includes tokenization, part-of-speech tagging, and named entity recognition functions. Tokenization, stemming, part-of-speech tagging, n-grams, and text statistics are just a few of the text analysis tools available.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

Only involving necessary people to do case validation or augmentation tasks reduces the risk of document mishandling and human error when dealing with sensitive data. Grant least privilege permissions to people – IDP largely reduces the need for direct access and manual processing of documents.

IDP 84

IDP Machine Learning Natural Language Processing ML 84

Artificial Corner

AUGUST 29, 2023

We send the topic of the post and we will receive back a creative tweet with all the fancy tags. For clarity I am going to define 2 main functions: one for dealing with the text-generation, the other for the image2image generation.

LLM 98

LLM Python Large Language Models Auto-complete 98

AWS Machine Learning Blog

NOVEMBER 1, 2023

If organizations are dealing with eDiscovery for litigations on subpoena responses, they’re probably concerned about accidentally sharing PII. Logikcull uses this confidence score to assign the tag PII Detected to the documents. Logikcull only assigns this tag to documents that have a confidence score of over 0.75.

Software Engineer 88

Software Engineer Metadata Machine Learning Natural Language Processing 88