AssemblyAI

FEBRUARY 1, 2024

Join Us On Discord Ask Questions About Your Audio With LLMs LLMs make it possible to answer questions about your text data, and  AssemblyAI's LeMUR  makes it easy to apply LLMs to audio and video data. Our LeMUR guides will show you how to: Summarize your audio data with key takeaways. 

Large Language Models 173

Large Language Models Python Generative AI LLM 173

Marktechpost

DECEMBER 24, 2023

JoyTag has emerged, designing tag images with a focus on gender positivity and inclusivity. JoyTag is superior to its counterparts due to its multi-label classification as its target task, 5000 unique tags, utilization of the Danbooru tagging schema, and extension of its application across various image types.

AI Modeling 85

AI Modeling Artificial Intelligence Artificial Intelligence AI 85

Unite.AI

OCTOBER 19, 2023

The foundation of this phenomenon lies in the training data. During pre-training, models are exposed to vast quantities of text data, learning grammar, facts, biases, and even some misconceptions from the web. Training Data: The internet, while a vast resource, is not free from biases, misinformation, or malicious content.

Prompt Engineer 277

Prompt Engineer Prompt Engineering Large Language Models LLM 277

Towards AI

DECEMBER 28, 2023

In this article, I’ll introduce you to 10+ essential open-source Python packages for Natural Language Processing that you can’t miss. Before starting, consider taking a look at my Medium profile where I cover topics on Data Science, Machine Learning, and Python! Join thousands of data leaders on the AI newsletter.

Natural Language Processing 97

Natural Language Processing Python Computational Linguistics NLP 97

AssemblyAI

OCTOBER 2, 2023

Join Us On Discord Brand New Usage Dashboard ⚡️ What's new — More usage and spend data available! We're excited to introduce new date range options, giving you the flexibility to view your usage and spend data in exactly the way you want. Deploy FALCON-180B Instantly!

Large Language Models 130

Large Language Models OpenAI AI Tools AI Modeling 130

Marktechpost

MARCH 26, 2024

In our digital world, everyone is always trying to access more data. Folders and tags, the traditional standbys, may become cumbersome, and keyword searches frequently yield useless results. We toil away many hours trying to reassemble missing data, find misplaced papers, and piece together seemingly unrelated pieces of information.

Natural Language Processing 110

Natural Language Processing Large Language Models AI AI 110

Marktechpost

JANUARY 22, 2024

After human annotation is complete, a machine-learning model automatically examines the tagged pictures to generate the same annotations. Image annotation is the process of labeling or categorizing an image with descriptive data that helps identify and classify objects, people, and situations included within the image. Makingsense.ai

Computer Vision 87

Computer Vision Machine Learning ML Deep Learning 87

Bitext

SEPTEMBER 22, 2023

If data is the oil of the AI industry, we are running out of data faster than out of oil. This lack of differentiation leads to AI applications that offer undifferentiated experiences since they are based on similar models with similar data and similar architectures. Definitely, we have a problem. What Solutions are Available?

LLM 52

LLM NLP Chatbots AI 52

Marktechpost

MARCH 30, 2024

This innovative open-source library is not merely an advancement; it’s a transformation set to empower robots with unparalleled autonomous behaviors. Traditionally, robots’ ability to understand and navigate their environment was hampered by the need for extensive training and data to recognize objects and perform tasks.

Artificial Intelligence 89

Artificial Intelligence Artificial Intelligence Robotics ML 89

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. Training Data : The essence of a language model lies in its training data.

Large Language Models 189

Large Language Models LLM Machine Learning DevOps 189

ODSC - Open Data Science

SEPTEMBER 12, 2023

Most data scientists are familiar with the concept of time series data and work with it often. The time series database (TSDB) , however, is still an underutilized tool in the data science community. Typically, time series analysis is performed either on CSV files or data lakes.

Data Scientist 97

Data Scientist Data Science Metadata Python 97

AWS Machine Learning Blog

JUNE 8, 2023

Data scientists need a consistent and reproducible environment for machine learning (ML) and data science workloads that enables managing dependencies and is secure. To improve this experience, we announced a public beta of the SageMaker open-source distribution at 2023 JupyterCon. An existing SageMaker domain.

Data Scientist 75

Data Scientist ML Machine Learning Deep Learning 75

Towards AI

FEBRUARY 18, 2024

This study makes use of a document that contains information about financial data. Methodology: The proposed methodology includes reading a text file, tokenizing details, writing multiple functions to extract information, and finally creating a data frame with this information.Libraries Used: 1.

NLP 111

NLP Natural Language Processing Python AI 111

Marktechpost

NOVEMBER 10, 2023

The approach surpasses standard distillation methods, delivering superior results with only a third of the data. Personalized distillation consistently outperforms standard methods, achieving better results with only one-third of the data. Data was collected from code-alpaca and seed tasks from MBPP for pretraining.

Large Language Models 75

Large Language Models LLM Data Quality AI 75

AWS Machine Learning Blog

MAY 5, 2023

Voxel51 is the company behind FiftyOne, the open-source toolkit for building high-quality datasets and computer vision models. You can use Ground Truth and FiftyOne to accelerate your data labeling project. You need to clean the data, augmenting the labeling schema with style labels.

Metadata 76

Metadata Computer Vision Machine Learning Data Scientist 76

AWS Machine Learning Blog

MARCH 25, 2024

Some customers entrust Amazon Transcribe with data that is confidential and proprietary to their business. In other cases, audio content processed by Amazon Transcribe may contain sensitive data that needs to be protected to comply with local laws and regulations. For more information about data privacy, see the Data Privacy FAQ.

Natural Language Processing 83

Natural Language Processing Machine Learning NLP Algorithm 83

Artificial Corner

JULY 2, 2023

{This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of BeautifulSoup} Image by Author ‍Behold the wondrous marvel known as BeautifulSoup, a mighty Python library renowned for its prowess in the realms of web scraping and data extraction from HTML and XML documents.

Machine Learning 96

Machine Learning Data Extraction Natural Language Processing Python 96

IBM Journey to AI blog

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. 46% of survey respondents in 2024 showed a preference for open source models.

Neural Network 241

Neural Network LLM AI AI 241

NVIDIA

JANUARY 9, 2024

But many are now realizing the value in developing custom models trained on their proprietary data to achieve brand-appropriate tone and personalized results in a scalable, cost-effective way. Many retailers are testing the generative AI waters first with internal deployments.

Generative AI 105

Generative AI Large Language Models Chatbots AI 105

Unite.AI

NOVEMBER 10, 2023

The price tag of $699, coupled with a $24 monthly subscription for additional services like a phone number and data coverage through T-Mobile, places the AI Pin in the higher echelon of wearable technology. This indicator light signals when the device is collecting data, ostensibly to inform both the user and those around them.

AI 230

AI AI AI Modeling OpenAI 230

IBM Journey to AI blog

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 129

Machine Learning ML Algorithm Chatbots 129

Marktechpost

SEPTEMBER 15, 2023

The maximum likelihood language modeling target, which seeks to minimize the forward KL divergence between the data and model distributions, may be to blame for LMs’ hallucinations. The LM may assign a non-zero probability to phrases that are not fully consistent with the knowledge encoded in the training data if this goal is pursued.

Large Language Models 127

Large Language Models Natural Language Processing NLP AI 127

Dlabs.ai

SEPTEMBER 26, 2023

file that will hold our tags: locals { # Common tags to be assigned to all resources tags = { Name = "mlflow-terraform" Environment = var.env } } Main file In main.tf , we will insert our basic configuration; the version should be the latest available. The image needs to be pushed with the tag latest.

Machine Learning 52

Machine Learning Data Science Automation ML 52

Unite.AI

MAY 8, 2024

Graphs are data structures that represent complex relationships across a wide range of domains, including social networks, knowledge bases, biological systems, and many more. Obtaining high-quality labeled data for training supervised GNN models can be expensive and time-consuming.

Neural Network 173

Neural Network Large Language Models LLM BERT 173

Snorkel AI

FEBRUARY 2, 2023

We plan for multiple rounds of iteration to improve performance through error analysis, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework. In contrast, it’s easy to understand the impact of increasing and improving your training data. Streamlined tagging workflows.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Snorkel AI

FEBRUARY 2, 2023

We plan for multiple rounds of iteration to improve performance through error analysis, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework. In contrast, it’s easy to understand the impact of increasing and improving your training data. Streamlined tagging workflows.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Towards AI

JUNE 24, 2023

These advanced technologies can handle a wide range of tasks, such as customer support, data analysis, scheduling, and even content generation! Instead of browsing through folders, you can tell ChatGPT to “find PNG files tagged with animals in the past 2 months”. Join thousands of data leaders on the AI newsletter.

Automation 83

Automation ChatGPT Metadata OpenAI 83

Bitext

SEPTEMBER 27, 2023

Download the dataset on our Github or Huggingface profile The best of synthetic data and expert curation. Bitext’s recent open-source contribution offers something fresh and impressive to the AI community. A notable aspect of this dataset is the “Language Generation Tags.” Some ideas and a sample.

Large Language Models 52

Large Language Models Conversational AI LLM Chatbots 52

AWS Machine Learning Blog

FEBRUARY 13, 2024

The BigBasket team was running open source, in-house ML algorithms for computer vision object recognition to power AI-enabled checkout at their Fresho (physical) stores. To keep pace with new products, a new model was produced each month using the latest training data. Store data in an Amazon Simple Storage Service (Amazon S3) bucket.

Computer Vision 103

Computer Vision Convolutional Neural Networks AI AI 103

Marktechpost

DECEMBER 8, 2023

Unlike traditional methods with fixed embeddings, the proposed approach treats recognition as the next token prediction, enabling auto-regressive decoding of tags from image embeddings. The study thoroughly compares with CLIP, Open Flamingo, LLaVA, BLIP-2, InstructBLIP, and CaSED, evaluating top-k predictions and precision-recall curves.

AI Researcher 73

AI Researcher AI Research Computer Vision Deep Learning 73

Marktechpost

AUGUST 10, 2023

The AS Project is for open-world panoptic visual recognition and understanding, driven by the goal of creating a vision system that mimics human cognition. The dataset comprises over 1 billion region annotations in various formats, such as semantic tags, locations, question-answering pairs, and captions.

Auto-classification 98

Auto-classification Natural Language Processing Large Language Models LLM 98

AWS Machine Learning Blog

FEBRUARY 29, 2024

OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0 This framework, however, doesn’t consider user behavior like click-through or purchase data, which can further improve relevance for individual users.

Auto-complete 94

Auto-complete AI AI ML 94

Marktechpost

JULY 2, 2023

The ability to recognize and identify individuals through their facial features raises questions about consent, control over personal data, and potential misuse. The current tagging systems in social networks need to adequately address the problem of unwanted or unapproved faces appearing in photos. Check Out the Paper.

Algorithm 71

Algorithm AI Tools AI Researcher AI Research 71

John Snow Labs

AUGUST 7, 2023

Let’s delve into this exciting update and how it promises to change the way we handle and analyze data in NLP Lab. The Problem: Insufficient and Skewed Data Every data scientist knows the pain of working on a project with a limited or skewed dataset. Enter Synthetic Task Generation! Higher temperature values (e.g.,

NLP 52

NLP ChatGPT Data Scientist Natural Language Processing 52

ODSC - Open Data Science

JANUARY 1, 2024

Everyone knows Microsoft, as before they were a leader in data science and AI, they were a leader in software and technology — and still are. Here, we have several different playlists, including machine & deep learning , NLP , responsible AI, model explainability, and other miscellaneous data science topics.

Data Science 52

Data Science Machine Learning Deep Learning Large Language Models 52

Pragnakalp

APRIL 6, 2023

In Dialogflow, a webhook can be used to fetch data from your server whenever a certain intent having webhook enabled (don’t worry, we will see that) is invoked. Enabling webhook for pages Now, we need to enable the webhook for pages that need to communicate with our server data. You can read more about webhook here.

Python 52

Python Chatbots Natural Language Processing NLP 52

IBM Journey to AI blog

DECEMBER 19, 2023

Given enterprise complexity, the most difficult part of this stage is the automation of testing capabilities (wherein test data preparation and execution of test cases across multiple systems is mostly semi-automated). This results in trust, efficiency and accuracy in reviews.

Automation 206

Automation DevOps Software Development 206