AssemblyAI

OCTOBER 2, 2023

Share any innovations you're working on to Discord or tag us on Twitter or LinkedIn ! A First Look) :Get a first-hand look at Mistral-7B and explore whether it truly stands out as the best 7B model! Join Us On Discord Brand New Usage Dashboard ⚡️ What's new — More usage and spend data available!

Large Language Models 130

Large Language Models OpenAI AI Tools AI Modeling 130

Marktechpost

AUGUST 3, 2023

The captions generated are textual descriptions of sentences, distinguishing the task from other music semantic understanding tasks such as music tagging. The researchers started by collecting multi-label tags from existing music tagging datasets. These models generally use an encoder-decoder framework.

Data Scarcity 52

Data Scarcity Large Language Models BERT Natural Language Processing 52

ODSC - Open Data Science

SEPTEMBER 12, 2023

A purpose-built time series database, on the other hand, can easily maintain this type of metadata in the form of tags or labels associated with each time series. And retrieving data is straightforward with a query language like SQL where you can filter by value, tag, time range, and more.

Data Scientist 97

Data Scientist Data Science Metadata Python 97

NVIDIA

JANUARY 16, 2024

The scene expresses the mixture of emotions that comes with curiosity, depicting a young girl holding little stars in her hand with a conflicted expression. To light the scene, Brellias added some ambient light behind the character’s face and between its hands. Out-of-this-world levels of detail. Digital 3D artist Brellias.

Software Development 91

Software Development Explainability AI AI 91

Chatbots Life

JUNE 14, 2023

Integrating Kommunicate chatbot with express jS project To integrate kommunicate with express js, create a separate script file in the public javascript folder and call it using the script tag on the layout.pug file. We would love to have you on board to have a first-hand experience with Kommunicate. is installed on your machine.

Chatbots 98

Chatbots AI Chatbots Artificial Intelligence Artificial Intelligence 98

Defined.ai blog

APRIL 17, 2023

It contains almost 8 million images of assorted items on shelves, storefronts, close-ups of price tags, and more. Rather than scraping data from the internet, we work hand in hand with our partners to showcase and evangelize their datasets to the world. Price Tags 2. stands on its principles of ethical AI. Shelf Stock 3.

Computer Vision 52

Computer Vision AI Modeling Automation Algorithm 52

Flipboard

JUNE 11, 2023

We also pass the `tag: true` option to the ‘AES.encrypt’ method to request the authentication tag, and then pass the tag to the ‘AES.decrypt’ method to verify the integrity of the decrypted data. In many ways, we live in the world of The Matrix. If Neo were to help us peel back the layers, we would find code all around us.

Large Language Models 170

Large Language Models Neural Network ChatGPT AI 170

Marktechpost

MAY 6, 2024

Here is the list of hand-picked collection of the top 12 AI fashion designer tools, continuing our exploration of AI in the fashion industry. Here are the main features: T Advanced Image Tagging Technology, Personalized Engine, Virtual Personal shopper powered by artificial intelligence, visual discovery tool that users can interact with.

AI Tools 100

AI Tools Artificial Intelligence Artificial Intelligence AI 100

TensorFlow

FEBRUARY 3, 2023

In 2022, the MediaPipe hands NPM package had around 70K downloads, the pose package had about 90K downloads, and the selfie segmentation package had over 130K downloads! Gesture Recognition - recognize specific hand gestures from a user, and invoke application features that correspond to those gestures. Resolve to make something great!

Machine Learning 52

Machine Learning ML Categorization Python 52

Bitext

AUGUST 24, 2021

To Automate the Generation of Training Data for Conversational Bots, We combine our Natural Language Generation solution to automatically expand a sample sentence into hundreds of variations while using our Slot generation technology the sentence is automatically tagged with the relevant intents and entities. i want to enable the alarm….

Automation 52

Automation Chatbots NLP Machine Learning 52

Mlearning.ai

JULY 22, 2023

The UI of MakeSense The problem of such is the tons of clicks required to tag the whole dataset, while this platform also include an AI assited tagging, you can either use a model on roboflow, or provide your own model (which required a Tensorflow.js I am using NodeJS instead in this, and running axios as network request package.

Auto-complete 52

Auto-complete Computer Vision Automation Metadata 52

Bitext

FEBRUARY 15, 2022

To illustrate this variety in practice, with this post we release a tagged dataset that contains 10,000 ways of asking for an order modification, in English this time. If you don’t have historical data to leverage –or if you just want to avoid privacy issues, the typical answer is generating and tagging this data by hand.

Chatbots 52

Chatbots Automation AI AI 52

Snorkel AI

FEBRUARY 2, 2023

Streamlined tagging workflows. Improved tagging analysis. Improved tagging analysis. Auto-generated tag-based LFs. The LF Quality View shows us the behavior of our LFs on our small batch of hand-labeled data that we use as ground truth. Snorkel Flow is built to enable a tight iteration loop like the one above.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Snorkel AI

FEBRUARY 2, 2023

Streamlined tagging workflows. Improved tagging analysis. Improved tagging analysis. Auto-generated tag-based LFs. The LF Quality View shows us the behavior of our LFs on our small batch of hand-labeled data that we use as ground truth. Snorkel Flow is built to enable a tight iteration loop like the one above.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

IBM Journey to AI blog

DECEMBER 19, 2023

Enlist enterprise records teams to study a set of data classification and retention patterns and enlist FinOps teams to assess for appropriate tagging and quota adherence. The maturity level increases when evidence capture is executed automatically and the review is in a completely hands-free mode.

Automation 205

Automation DevOps Software Development 205

Unite.AI

OCTOBER 16, 2023

The roadmap to LLM integration have three predominant routes: Prompting General-Purpose LLMs : Models like ChatGPT and Bard offer a low threshold for adoption with minimal upfront costs, albeit with a potential price tag in the long haul. These models are trained on vast datasets encompassing a broad spectrum of internet text.

Large Language Models 189

Large Language Models LLM Machine Learning DevOps 189

Unite.AI

MAY 8, 2024

On one hand, the knowledge and reasoning capabilities of LLMs present opportunities to enhance traditional GNN models. This allows GNNs to achieve state-of-the-art performance on tasks such as node classification, link prediction, and graph classification across diverse application areas.

Neural Network 182

Neural Network Large Language Models LLM BERT 182

Heartbeat

APRIL 17, 2023

Part-of-speech (POS) tagging: Each word in the text is tagged with its part-of-speech (e.g., This involves identifying contiguous groups of words that belong together, based on their part-of-speech tags. In the same way, ML algorithms can be trained on large datasets to learn patterns and make predictions based on that data.

NLP 52

NLP Natural Language Processing Python Machine Learning 52

Mlearning.ai

FEBRUARY 28, 2023

Writing More Production-Ready Data Science Project (Part 2): Creating a Web App with Streamlit and Deploying to Google Cloud Run with Docker Photo by Venti Views on Unsplash 1. In this article, I will go through steps to build a simple Streamlit web app to let users input a review text, and obtain the predicted star-rating. streamlit/app.py

Data Science 52

Data Science Python Data Scientist ML 52

Artificial Corner

JULY 9, 2023

On the other hand, unsupervised learning focuses on finding similarities and patterns among data points without predefined labels. Image and text analysis: Unsupervised learning algorithms can automatically categorize and tag images, analyze text to discover topics or sentiments, and identify similarities within a large corpus of data.

Algorithm 97

Algorithm Categorization Machine Learning Neural Network 97

Mlearning.ai

MARCH 24, 2023

On one hand, a great part of the Etsy community is strongly against this kind of art. On one hand, a great part of the Etsy community is strongly against this kind of art. On the other hand, Etsy is not a curated marketplace, and so, even if they decide to ban AI art, it would be hardly possible for them to implement this decision.

AI 52

AI AI Generative AI Machine Learning 52

Artificial Corner

FEBRUARY 9, 2024

The aisle is lined with price tags, but instead of ordinary products, the shelves display a variety of intricate mechanical parts suggesting a surreal or futuristic shopping experience. On the other hand, GPT-4 failed the first time but found the correct answer on the second attempt. That’s a personal preference though.

Explainability 98

Explainability ChatGPT AI Modeling AI 98

Heartbeat

JANUARY 19, 2024

On the other hand, comet-llm is a tool to log and visualize your LLM prompts and chains. Show the 5 with the highest reviews,", yolo=True) We will create a function that accepts three parameters —  user_prompt , tags and metadata. Check out the Comet LLMOps tool. Set yolo=True and assign it to a variable. Logging YOLOPandas ?

LLM 52

LLM Metadata Prompt Engineer Prompt Engineering 52

AssemblyAI

DECEMBER 7, 2023

How Qwen-Audio Works Multi-Task Training via Hierarchical Tags Qwen-Audio’s multi-task training framework expands upon the hierarchical tagging system introduced by Whisper , providing the model with higher context awareness and facilitating smooth transitions between different tasks.

Explainability 278

Explainability Large Language Models AI AI 278

Snorkel AI

APRIL 24, 2024

The model trained on this training set achieved an F1-score of about 60 on our hand-labeled ground truth. To address this, we built a simple regex labeling function that tagged spans according to a few strings: “interest rate swap,” interest rate derivatives,” and “fixed to variable.” Book a demo today.

Data Scientist 52

Data Scientist Large Language Models Explainability Machine Learning 52

Snorkel AI

APRIL 24, 2024

The model trained on this training set achieved an F1-score of about 60 on our hand-labeled ground truth. To address this, we built a simple regex labeling function that tagged spans according to a few strings: “interest rate swap,” interest rate derivatives,” and “fixed to variable.” Book a demo today.

Data Scientist 52

Data Scientist Large Language Models Explainability Machine Learning 52

Lexalytics

JUNE 11, 2021

But, on the other hand, people generally know what they need – and they’re happy to tell the world all about it. 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. We think so. That’s where AI, ML, and NLP come in.

NLP 52

NLP Text Analytics ML AI 52

Google Research AI blog

MARCH 27, 2023

As we use these assistants, we are also becoming more accustomed to using natural language to accomplish tasks that we once did by hand. One of the biggest challenges in building a robust virtual assistant is identifying what a user wants and what information is needed to perform the task at hand.

NLP 98

NLP Natural Language Processing Software Engineer Data Quality 98

NVIDIA

SEPTEMBER 21, 2023

with Ray Reconstruction , an NVIDIA supercomputer-trained AI network replaces hand-tuned denoisers to generate higher-quality pixels between sampled rays. Chaos Vantage is the first creative application to integrate Ray Reconstruction. Blackmagic Design has adopted NVIDIA TensorRT acceleration in update 18.6 AI-powered Ray Resstruction.

Neural Network 102

Neural Network Deep Learning AI AI 102

Towards AI

AUGUST 9, 2023

Similarly, MM-ReAct [2] incorporates visual information in the forms of image captioning, dense captioning, image tagging, etc., 20] On the other hand, finetuning a language model is data-hungry which makes the approach less applicable when domain-specific data is limited. inside the prompt to feed to the LLM.

Explainability 92

Explainability LLM ChatGPT Large Language Models 92

Ofemwire

MARCH 1, 2024

Optimizing content with relevant keywords, meta tags, headings, and other SEO elements can help improve its visibility and ranking. ” or “Generate a short story about a detective solving a murder mystery.” Interpret Responses : Once you receive a response from Gemini, evaluate it based on your needs and context.

AI 111

AI AI Natural Language Processing Explainability 111

Viso.ai

MARCH 19, 2024

A meta-learning framework helps SAM segment new objects with only a handful of annotated examples through pattern recognition. Before diving into Grounded Segment Anything (Grounded-SAM), let’s take a brief refresher on the core technologies that underly it. Vision Transformers (ViTs) form the backbone of this model.

Explainability 52

Explainability Computer Vision Machine Learning ChatGPT 52

Chatbots Life

MARCH 17, 2023

A handful of the advantages are listed here: Minimized time and cost-to-hire Maximized efficiencies Streamlined communication Improved quality of hire Therefore, it’s rightly said, “The right ATS can exceptionally improve your hiring process”. So, ensure your applicant tracking system can deliver these insights.

Automation 52

Automation Chatbots 52

Snorkel AI

MARCH 14, 2023

Snorkel AI redefines AI application development with a data-centric approach Snorkel AI addresses the biggest blocker to AI deployment: the massive hand-labeled training datasets needed to train ML models. Labeling unstructured data for ML projects has traditionally involved humans tagging each data point manually.

Data Scientist 52

Data Scientist Data Drift AI AI 52

Snorkel AI

MARCH 14, 2023

Snorkel AI redefines AI application development with a data-centric approach Snorkel AI addresses the biggest blocker to AI deployment: the massive hand-labeled training datasets needed to train ML models. Labeling unstructured data for ML projects has traditionally involved humans tagging each data point manually.

Data Scientist 52

Data Scientist Data Drift AI AI 52

Pickl AI

AUGUST 7, 2023

These are as follows: Labeled data generally has some predefined tags like name, type, or number. On the other hand, unlabelled data does not contain any tags. Labeled Data vs Unlabelled Data Machine Learning makes use of both labeled and unlabelled data but, contains some major differences.

Machine Learning 52

Machine Learning Automation Natural Language Processing Artificial Intelligence 52

Snorkel AI

SEPTEMBER 29, 2023

Gaps in their knowledge, or a lack of ability to transfer what they know to the task at hand can hinder their performance. This process takes raw documents, files, or tabular records and adds one or more tags or labels to each. Use cases for supervised machine learning models, on the other hand, cover many business needs.

Large Language Models 59

Large Language Models Machine Learning Data Science Data Scientist 59