Marktechpost

NOVEMBER 18, 2023

Consequently, the researchers of Reworkd have formulated Tarsier, an open-source Python library to facilitate web interaction with multi-modal Language Models (LLMs) like GPT-4. It is achieved by visually tagging elements using brackets and unique identifiers, such as IDs. Extensive research has been conducted in varied fields.

Python 106

Python LLM AI AI 106

Unite.AI

OCTOBER 19, 2023

” Source The above timeline highlights major GenAI advancements from 2020 to 2023. Indirect Attacks: The hacker affects an LLM's data source. Advocates of open-source LLM emphasize the acceleration of innovation and the importance of transparency. For instance, they might put a harmful prompt on a website.

Prompt Engineer 277

Prompt Engineer Prompt Engineering Large Language Models LLM 277

Unite.AI

AUGUST 1, 2023

Furthermore, it opens doors to seamlessly integrating LLMs with external tools and data sources, broadening the range of their potential uses. The model is expected to perform well based on its initial training, making this methodology ideal for open-domain question-answering scenarios such as ChatGPT.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

Marktechpost

APRIL 4, 2024

Gretel has made a remarkable contribution to the field of AI by launching the most extensive and diverse open-source Text-to-SQL dataset. It includes database context such as table and view create statements, natural language explanations of the SQL queries, and contextual tags to optimize model training.

Artificial Intelligence 95

Artificial Intelligence Artificial Intelligence AI Modeling Data Scarcity 95

AssemblyAI

OCTOBER 2, 2023

Share any innovations you're working on to Discord or tag us on Twitter or LinkedIn ! The NEW #1 Open-Source AI Model : Explore the leading new open-source AI mode: Falcon-180B and learn how to deploy it instantly! With easy-to-use code snippets for common use-cases, get started with our powerful API today!

Large Language Models 130

Large Language Models OpenAI AI Tools AI Modeling 130

IBM Journey to AI blog

JANUARY 26, 2024

We have contributed semantic conventions for database servers and provided the open source OpenTelemetry Database Data Collector, expanding OpenTelemetry and Instana’s support for monitoring database servers. The capability is currently in open beta. Watch our new release webinar to learn more about this update.

Automation 214

Automation DevOps Software Development Artificial Intelligence 214

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

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 91

Natural Language Processing Python Computational Linguistics NLP 91

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 107

Natural Language Processing AI AI Large Language Models 107

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 72

Data Scientist ML Machine Learning Deep Learning 72

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 102

Generative AI Large Language Models Chatbots AI 102

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 74

Large Language Models LLM Data Quality AI 74

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

AWS Machine Learning Blog

APRIL 23, 2024

For more details on how to get started with SageMaker Studio IDEs, refer to Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools and New – Code Editor, based on Code-OSS VS Code Open Source now available in Amazon SageMaker Studio. Open the pytorch_local_mode_cifar10.ipynb

ML 90

ML Python Machine Learning Generative AI 90

AWS Machine Learning Blog

JANUARY 9, 2024

In a channel, users can ask it questions in a new message, or tag it in an existing thread at any point, to provide additional data points, resolve a debate, or summarize the conversation and capture the next steps. Everything you need is provided as open source in our GitHub repo. Choose Open in Slack.

Software Engineer 101

Software Engineer Metadata Software Development Generative AI 101

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

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

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

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 86

Artificial Intelligence Artificial Intelligence Robotics ML 86

Defined.ai blog

APRIL 10, 2023

The model then assigns a category tag to each named entity based on its context within the text. For example, a phrase like “President Biden” would be tagged as a “Person,” while a phrase like “Mount Everest” would be tagged as a “Location.” In addition, Defined.ai

NLP 52

NLP Categorization Natural Language Processing Algorithm 52

Defined.ai blog

APRIL 10, 2023

The model then assigns a category tag to each named entity based on its context within the text. For example, a phrase like “President Biden” would be tagged as a “Person,” while a phrase like “Mount Everest” would be tagged as a “Location.” In addition, Defined.ai

NLP 52

NLP Categorization Natural Language Processing Algorithm 52

AWS Machine Learning Blog

OCTOBER 6, 2023

Furthermore, we discuss the diverse applications of these models, focusing particularly on several real-world scenarios, such as zero-shot tag and attribution generation for ecommerce and automatic prompt generation from images. This is where the power of auto-tagging and attribute generation comes into its own.

Generative AI 91

Generative AI Prompt Engineer Prompt Engineering Computer Vision 91

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 85

Computer Vision Machine Learning ML Deep Learning 85

Towards AI

AUGUST 11, 2023

Discover how tabular data space is being transformed by Kaggle competitions, the open-source community, and Generative AI. Open-source Contributions: Thanks to major open-source libraries like Pandas, DuckDB, SDV, and Scikit-learn, manipulating, preprocessing, and building predictive models on tabular data is now incredibly easy.

Machine Learning 86

Machine Learning Data Analysis Deep Learning AI 86

AWS Machine Learning Blog

APRIL 17, 2024

This post walks you through the Open Source Observability pattern for AWS Inferentia , which shows you how to monitor the performance of ML chips, used in an Amazon Elastic Kubernetes Service (Amazon EKS) cluster, with data plane nodes based on Amazon Elastic Compute Cloud (Amazon EC2) instances of type Inf1 and Inf2.

ML 90

ML Data Scientist Machine Learning 90

Unite.AI

DECEMBER 1, 2023

You first started and led the Snorkel open-source project while at Stanford, could you walk us through the journey of these early days? Researchers have even found incorrectly-labeled records in foundational open source data sets. Back then we were, like many in the industry, focused on developing new algorithms and—i.e.

Data Scientist 147

Data Scientist Auto-classification AI AI 147

AssemblyAI

SEPTEMBER 22, 2023

In August – Meta released a tool for AI-generated audio named AudioCraft and open-sourced all of its underlying models, including MusicGen. Both of MuLan’s dataset and code are closed-source. CLAP is a more recent (and fully open-source) model.

Convolutional Neural Networks 246

Convolutional Neural Networks AI AI Data Scarcity 246

Unite.AI

OCTOBER 6, 2023

But I saw a gap in that the datasets and problems were clearly sourced from large, mostly-American corporate companies and the participants similarly were mostly from the “developed” world. I learned about Kaggle many years ago when I was in San Francisco, when it was just a start-up.

Data Scientist 289

Data Scientist Data Science Machine Learning Natural Language Processing 289

AWS Machine Learning Blog

NOVEMBER 22, 2023

AWS provides tools such as Amazon CloudWatch , tags , and AWS CloudTrail to make it straightforward to accurately identify the cost and usage of workloads, make sure you utilize resources to measure return on investment (ROI), and enable workload owners to optimize their resources and reduce costs.

IDP 77

IDP Auto-classification Machine Learning Auto-complete 77

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 73

Metadata Computer Vision Machine Learning Data Scientist 73

AWS Machine Learning Blog

JANUARY 25, 2024

In a channel, users can ask Amazon Q business expert questions in a new message, or tag it in an existing thread at any point, to provide additional data points, resolve a debate, or summarize the conversation and capture the next steps. Everything you need is provided as open source in our GitHub repo. Region Launch Stack N.

Generative AI 108

Generative AI Software Engineer Metadata Software Development 108

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 125

Large Language Models Natural Language Processing NLP AI 125

Allen AI

AUGUST 18, 2023

AI2 Dolma: 3 Trillion Token Open Corpus for Language Model Pretraining Since March, we at the Allen Institute for AI have been creating OLMo , an open language model to promote the study of large-scale NLP systems. We decided our ideal dataset would meet several criteria: Openness. Representativeness.

Auto-complete 98

Auto-complete Large Language Models NLP Explainability 98

IBM Journey to AI blog

JANUARY 26, 2024

We have contributed semantic conventions for database servers and provided the open source OpenTelemetry Database Data Collector, expanding OpenTelemetry and Instana’s support for monitoring database servers. The capability is currently in open beta. Watch our new release webinar to learn more about this update.

Automation 110

Automation DevOps Software Development Artificial Intelligence 110

AWS Machine Learning Blog

MARCH 13, 2024

You will find the chat message in tag, and find the policy in the tag. You can find additional rules in the tag to assist your decision. Please consider and provide your analysis in the tag, breaking down each rule in the rule section, and keep and analysis within 100 words. Respond in the tag with either 'Y' or 'N'.

LLM 101

LLM Natural Language Processing Prompt Engineer Prompt Engineering 101

Viso.ai

MARCH 29, 2024

Knowledge Graph From CV – source History of Knowledge Graphs Over the years, these systems have significantly evolved in complexity and capabilities. The Emergence of Open Knowledge Bases: Release of several open knowledge bases, including WordNet, DBpedia, YAGO, and Freebase, broadening access to structured knowledge.

ML 52

ML Deep Learning NLP BERT 52

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 90

Deep Learning ML AI Researcher AI Research 90