Marktechpost

NOVEMBER 10, 2023

The approach significantly enhances the performance of open-source pretrained models, including CodeGen-mono-16B and StarCoder, in code generation tasks. The method addresses the limitations of closed-source large language models (LLMs) like ChatGPT and GPT-4 regarding availability, cost, ethics, and data privacy concerns.

Large Language Models 101

Large Language Models LLM Data Quality AI 101

Marktechpost

MARCH 26, 2024

Folders and tags, the traditional standbys, may become cumbersome, and keyword searches frequently yield useless results. Meet Quivr: A Personalized AI Assistant To help you conquer these information management challenges, meet Quivr — an open source RAG framework and a robust AI assistant.

Natural Language Processing 120

Natural Language Processing Large Language Models AI AI 120

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. RAM (Recognize Anything Model by OPPO Research Institute): This model focuses on zero-shot image tagging, recognizing the presence of objects based on textual descriptions.

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence Robotics ML 111

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! ."""

Natural Language Processing 94

Natural Language Processing Python Computational Linguistics NLP 94

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. The data's quality and diversity significantly impact the model's accuracy and versatility.

Large Language Models 189

Large Language Models LLM Machine Learning DevOps 189

AWS Machine Learning Blog

JUNE 8, 2023

To improve this experience, we announced a public beta of the SageMaker open-source distribution at 2023 JupyterCon. The open-source SageMaker Distribution supports the most common packages and libraries for data science, ML, and visualization, such as TensorFlow, PyTorch, Scikit-learn, Pandas, and Matplotlib.

Data Scientist 76

Data Scientist ML Machine Learning Deep Learning 76

Marktechpost

JANUARY 22, 2024

After human annotation is complete, a machine-learning model automatically examines the tagged pictures to generate the same annotations. Keylabs Keylabs enables users to annotate images with captions, tags, and other information, such as bounding boxes, important points, and semantic segmentation. Makingsense.ai

Computer Vision 111

Computer Vision Machine Learning ML Deep Learning 111

Aiiot Talk

APRIL 13, 2024

Instead of sitting through hours of lectures, they connect with the learning material meaningfully, opening doors to new experiences they would not have otherwise. How to Source AR and VR Equipment There are multiple ways to source AR and VR equipment for home-schooling. Here are five ways to obtain these resources.

Robotics 130

Robotics Artificial Intelligence Artificial Intelligence 130

The MLOps Blog

APRIL 16, 2024

You log all the metadata into this one source of truth, and you see it in an intuitive web app. It’s a technology-agnostic, open-source pipelines framework that’s easy to plugin and just works. neptune_run = get_neptune_run() … You can also tell ZenML to pass custom tags to the Neptune run object upon instantiation.

Metadata 52

Metadata ML 52

NVIDIA

JANUARY 9, 2024

Before building them, companies must first consider a variety of questions: whether to opt for an open-source, closed-source or enterprise model; how they plan to train and deploy the models; how to host them; and, most importantly, how to ensure future innovations and new products can be easily incorporated into them.

Generative AI 98

Generative AI Large Language Models Chatbots AI 98

Bitext

SEPTEMBER 22, 2023

Since architectures are mostly made public via open source, data seems to offer one potential path. The corpus includes tagging for offensive language generated from human-curated dictionaries. What Solutions are Available? At Bitext we’ve produced data for NLP/NLU/AI applications for a few years.

LLM 52

LLM NLP Chatbots AI 52

ODSC - Open Data Science

SEPTEMBER 12, 2023

Although setting up a database to run your analyses may seem like an arduous task, modern open-source time series databases can provide significant benefits to any scientist running time series analysis on a large data set — and with much less effort than you might imagine.

Data Scientist 97

Data Scientist Data Science Metadata Python 97

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. FiftyOne by Voxel51 is an open-source toolkit for curating, visualizing, and evaluating computer vision datasets so that you can train and analyze better models by accelerating your use cases.

Metadata 76

Metadata Computer Vision Machine Learning Data Scientist 76

Marktechpost

SEPTEMBER 15, 2023

From the perspective of the interpretability of the model, studies have shown that the earlier layers of transformer LMs encode “lower level” information (such as part-of-speech tags). In contrast, the later levels encode more “semantic” information.

Large Language Models 130

Large Language Models Natural Language Processing NLP AI 130

Artificial Corner

JULY 2, 2023

An open-source gem, this magnificent library bestows upon its users the power to extract invaluable data from the depths of HTML and XML files. Its harmonious integration with machine learning models ushers forth a realm where data extraction and analysis from websites and diverse sources become attainable endeavors.

Machine Learning 96

Machine Learning Data Extraction Natural Language Processing Python 96

Marktechpost

AUGUST 1, 2023

Unfortunately, this severely affects their ability to generalize in open-world scenarios. Firstly, it should be trained using images from various sources and diverse label spaces. To achieve universality, the detector must learn from multiple sources with varying label spaces to acquire comprehensive and complete knowledge.

Deep Learning 98

Deep Learning ML AI Researcher AI Research 98

Marktechpost

JULY 2, 2023

The current tagging systems in social networks need to adequately address the problem of unwanted or unapproved faces appearing in photos. When an image is uploaded, friends of the uploader can be tagged, while the remaining faces are replaced with deepfakes. Authors integrate multiple deepfake generators, such as Nirkin et al.,

Algorithm 96

Algorithm AI Tools AI Researcher AI Research 96

Pragnakalp

FEBRUARY 16, 2024

We open the Chrome browser and navigate to the login page. This action opens Chrome Developer Tools. SAVE_PATH defines the file path where the image sources will be saved. It opens the Google homepage, searches for Google Images, enters ‘ falcon ‘ in the search bar, and clicks on the search button.

Robotics 52

Robotics Automation NLP Chatbots 52

Unite.AI

MAY 8, 2024

Graph Neural Network Architectures Graph Neural Network Architecture – source The key distinction between traditional deep neural networks and GNNs lies in their ability to operate directly on graph-structured data. Improving the transferability of these models is a critical research direction.

Neural Network 173

Neural Network Large Language Models LLM BERT 173

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

Pragnakalp

FEBRUARY 14, 2024

Introduction Robot Framework is an open-source test automation framework, widely used for acceptance testing and robotic process automation (RPA). To create a virtual environment, open the terminal at your desired location and run the below command. source env_robot/bin/activate (Note: These commands are for Ubuntu.)

Robotics 52

Robotics Automation Python Software Development 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. Use a custom PyTorch Docker container including other open source libraries. The following figure provides an overview of the checkout process.

Computer Vision 103

Computer Vision Convolutional Neural Networks AI AI 103

Bitext

SEPTEMBER 27, 2023

Bitext’s recent open-source contribution offers something fresh and impressive to the AI community. Bitext’s Contribution to the Open-Source Community Bitext has unveiled a dataset that’s not just vast, with nearly 27,000 rows, but also meticulously curated for customer support applications.

Large Language Models 52

Large Language Models Conversational AI LLM Chatbots 52

Defined.ai blog

JANUARY 5, 2023

Open-source datasets are a valuable resource for developers and researchers working on conversational AI. There are many open-source datasets available, but some of the best for conversational AI include the Cornell Movie Dialogs Corpus, the Ubuntu Dialogue Corpus, and the OpenSubtitles Corpus.

Conversational AI 52

Conversational AI Metadata AI AI 52

Viso.ai

DECEMBER 20, 2023

CVAT is an open-source software tool for teams to create image and video annotations. CVAT stands for Computer Vision Annotation Tool ; it is a free, open-source digital image animation tool written in Python and JavaScript. CVAT is an open-source tool and can be hosted as a web-based online annotation tool.

Computer Vision 98

Computer Vision Deep Learning Neural Network Automation 98

Mlearning.ai

MARCH 3, 2024

You can keep your code open source (Anyone can see your code) or you can keep it in a private repository (Only you and people you add can see the code) Assuming you already have a GitHub account, you need to add ssh to be able to add code via command line. Now that you have understood version, Let’s get back to our code situation.

AI 52

AI AI ML 52

Defined.ai blog

MARCH 23, 2023

This step involves techniques such as named entity recognition and part-of-speech tagging to identify the specific nouns and noun phrases that represent said aspects or entities. Advantages and disadvantages of Open-source datasets Open-source datasets are important for sentiment analysis projects for several reasons.

NLP 52

NLP Computational Linguistics Computational Semantics Natural Language Processing 52

Mlearning.ai

FEBRUARY 28, 2023

Building a Simple Front End with Streamlit Streamlit is an open-source Python library that let users build web applications quickly without any knowledge of common web development frameworks such as JavaScript, HTML or CSS. The first 6 lines are for importing necessary classes in our source codes. matplotlib==3.5.0 inside. ."

Data Science 52

Data Science Python Data Scientist ML 52

AWS Machine Learning Blog

OCTOBER 26, 2023

One of the key requirements for many customers using Drupal is the ability to easily and securely find accurate information across all the documents in the data source. This post shows you how to use the Amazon Kendra Drupal connector to configure the connector as a data source for your Amazon Kendra index and search your Drupal documents.

Software Engineer 99

Software Engineer Machine Learning ML Artificial Intelligence 99

IBM Journey to AI blog

APRIL 18, 2024

46% of survey respondents in 2024 showed a preference for open source models. While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag. Instead, they’re using retrieval augmented generation or fine-tuning open source models for their specific needs.

Neural Network 242

Neural Network LLM AI AI 242

ODSC - Open Data Science

JANUARY 1, 2024

Blogs In this tag , we have dozens of blogs related to Microsoft tools and processes, including items written by ODSC staff, news pieces, and tutorials written by Microsoft creators themselves. All you need to do is register for a free Ai+ Training account and watch all of them on-demand whenever you want. Where can I stay up to date?

Data Science 52

Data Science Machine Learning Deep Learning Large Language Models 52

Viso.ai

MARCH 19, 2024

The Grounding DINO model consists of a text backbone, an image backbone, a feature enhancer, a language-guided query selection, and a cross-modality decoder – source. It trains on a dataset curated from various sources, including common objects in context ( COCO ) and Visual Genome. How Does the Model Learn?

Explainability 52

Explainability Computer Vision Machine Learning ChatGPT 52

Snorkel AI

FEBRUARY 2, 2023

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Streamlined tagging workflows. Improved tagging analysis.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Snorkel AI

FEBRUARY 2, 2023

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Streamlined tagging workflows. Improved tagging analysis.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

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 After the stack is created, open the SageMaker notebook instance from the console. Set up and complete the Amazon Personalize workflow Open the 1.Configure_Amazon_Personalize.ipynb

Auto-complete 93

Auto-complete AI AI ML 93

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. There are multiple approaches provided by cloud providers and open-source tooling that can accomplish this (including Checkov , Cloud formation guard and cfn-nag ).

Automation 209

Automation DevOps Software Development 209

AWS Machine Learning Blog

MAY 25, 2023

We use a combination of different AWS services, open-source foundation models ( FLAN-T5 XXL for text generation and GPT-j-6B for embeddings) and packages such as LangChain for interfacing with all the components and Streamlit for building the bot frontend. Select the notebook aws-llm-apps-blog and choose Open JupyterLab.

LLM 77

LLM Data Ingestion Python ML 77