Unite.AI

NOVEMBER 23, 2023

This article will explore how Zephyr 7B leverages the power of larger models to refine its ability to respond and align with human instruction, a process made possible through the technique of knowledge distillation. This method, requiring no human annotation, significantly reduces the time and resources needed for model training.

LLM 301

LLM Large Language Models BERT NLP 301

Unite.AI

JANUARY 11, 2024

However, they require complex multi-stage training pipelines: Pre-train on billions of weakly labeled or artificial text pairs Fine-tune on limited hand-curated datasets This demands massive compute resources and human effort for data collection. The training data is also constrained in diversity and language coverage. Clustering 46.1

Large Language Models 147

Large Language Models Prompt Engineer Prompt Engineering BERT 147

Unite.AI

NOVEMBER 15, 2023

The findings are eye-opening: 76% of leaders face difficulties in developing training courses with existing resources, and 65% see upskilling as crucial but lack the time for course development. It highlights the urgent need for effective upskilling and retention strategies in businesses.

Generative AI 279

Generative AI AI AI Continuous Learning 279

IBM Journey to AI blog

JANUARY 25, 2024

Generative AI is opening doors and creating new opportunities and risks for organizations globally, with human resources (HR) leadership playing a key role in managing these challenges. HR leaders should address potential job changes, as well as the realities of new categories and jobs created by AI and other technologies.

Responsible AI 239

Responsible AI AI AI Generative AI 239

Flipboard

JULY 31, 2023

Whether you’re working on a complex AI project or just dipping your toes into machine learning, this guide will provide valuable insights and resources to help you on your journey. This dataset offers an excellent resource for creating agricultural or food industry applications. detecting unauthorized vehicles in certain areas).

Machine Learning 104

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 104

Unite.AI

JANUARY 8, 2024

Drawing inspiration from this human capability, large multimodal model (LMM) , a combination of generative and multimodal AI , are being developed to understand and create content using different types like text, images, and audio. This is essential for meaningful engagement with humans and successful operation in real-world scenarios.

Large Language Models 182

Large Language Models Generative AI LLM AI Researcher 182

Unite.AI

MARCH 14, 2024

The ‘unacceptable' category includes AI systems deemed too harmful for use in European society, leading to their outright ban. In the realm of high-risk AI, the legislation imposes obligations for risk assessment, data quality control, and human oversight.

Artificial Intelligence 182

Artificial Intelligence Artificial Intelligence Categorization AI 182

Marktechpost

MAY 20, 2024

Despite its promise to distinguish humans from AI text and prevent misinformation, the field faces challenges. MARKLLM’s modular design enhances scalability and flexibility, making it a valuable resource for researchers and the general public to advance LLM watermarking technology.

LLM 125

LLM Algorithm Automation ML 125

IBM Journey to AI blog

JANUARY 22, 2024

The GDPR defines personal data as any information relating to an identifiable human being. A data subject is the human being who owns the data. The practical steps an organization takes to meet these requirements will depend on its location, resources and data processing activities, among other factors.

Automation 203

Automation Explainability 203

Unite.AI

OCTOBER 31, 2023

This process has proven to be effective and less resource-intensive, making diffusion models a hot topic in the AI community. By training on these improved captions DALL-E 3 have been able to achieve remarkable results, closely resembling photographs and artworks produced by humans.

OpenAI 264

OpenAI ChatGPT Neural Network Prompt Engineer 264

Marktechpost

APRIL 18, 2024

Their training is incredibly resource- and data-intensive, adding to their high cost and power consumption. Because of this, they are able to learn and think more like humans. They employ the highly expressive language of category theory to create models that can acquire algebraic structure.

AI Researcher 98

AI Researcher AI Research AI AI 98

Unite.AI

MAY 17, 2024

Willson Cross is the CEO and Co-Founder of Borderless AI , an enterprise at the forefront of pioneering the application of artificial intelligence in global human resources. Yet, even with the strong customer demand in this category, the customer journey has not been touched by AI.

Automation 246

Automation Conversational AI AI AI 246

Towards AI

MARCH 20, 2024

These consist of humans, places, activities, and summary thoughts. Integrate with newer data resources: Knowledge graphs has the inherent flexibility to deal and incorporate facts from novel sources, fostering non-stop expansion of the know-how base. The core components of KG are : Entities are real-world items or concepts.

Data Analysis 90

Data Analysis AI AI Machine Learning 90

Unite.AI

SEPTEMBER 26, 2023

Employee Training and Awareness One major weak link in cybersecurity can be human oversight. Data Protection Policies The rules and practices around how data is sourced, stored, utilized, and safeguarded fall under this category. The assessment would probe into whether these reviews are frequent, rigorous, and result-driven.

Automation 288

Automation 288

Aiiot Talk

FEBRUARY 1, 2024

Although running experiments to learn new things in the lab is an important part of helping chemists make progress, they can be time-consuming and require lots of physical resources and space. Artificial intelligence excels at processing large amounts of data much faster than humans can. There are five main categories of PPE.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Robotics AI 130

AWS Machine Learning Blog

FEBRUARY 8, 2024

This significantly reduces the burden on human resources and allows employees to focus on more strategic and creative tasks. The code and resources required for deployment are available in the amazon-bedrock-examples repository. AWS Identity and Access Management (IAM) permissions for the preceding resources.

Automation 114

Automation Generative AI Categorization Python 114

Unite.AI

DECEMBER 18, 2023

Each category celebrates the ingenuity and forward-thinking research that continues to shape the landscape of AI and machine learning. These laws provide invaluable guidelines for optimizing language model training, ensuring effective use of resources in limited data scenarios.

Machine Learning 130

Machine Learning Large Language Models Categorization AI Researcher 130

Flipboard

MAY 1, 2023

With special categories dedicated to Hand Drawing, Computer-Aided and AI-Aided representation, Architizer’s Vision Awards is celebrating the strengths of diverse types of Architectural Visualization and the creators behind them. AI design tools can certainly boost efficiency, saving time and resources.

AI Tools 120

AI Tools Artificial Intelligence Artificial Intelligence AI 120

Viso.ai

MAY 6, 2024

The latest version is Kinetics 700-2020, which contains over 700 human action classes from up to 650,000 video clips. Source ) The Atomic Visual Actions (AVA) dataset is another resource developed by Google. Thus, it allows for a more detailed study of human behavior by providing precise frames with labeled actions.

Computer Vision 52

Computer Vision Deep Learning Neural Network Convolutional Neural Networks 52

Unite.AI

OCTOBER 5, 2023

Its core capability lies in generating human-like text based on the prompts it receives. From casual conversations to in-depth technical explanations, ChatGPT can engage with an array of topics, making it a sought-after resource. One of the AI's shining stars is ChatGPT, a conversational model developed by OpenAI.

ChatGPT 289

ChatGPT Prompt Engineer Prompt Engineering Artificial Intelligence 289

IBM Journey to AI blog

DECEMBER 4, 2023

By implementing Oracle , one of the world’s leading enterprise resource planning (ERP) tools, organizations can transform their business processes and significantly increase operational efficiency. These include Oracle SCM for supply chain management , Oracle HCM for human capital management and Oracle Procurement for procure-to-pay.

Data Quality 183

Data Quality Automation 183

Marktechpost

SEPTEMBER 6, 2023

While state-of-the-art LLMs do far better than humans can on tasks involving textual information retrieval, state-of-the-art VLMs struggle with visual information-seeking datasets like Infoseek, Oven, and OK-VQA. Youngsters need to be taught to recognize fine-grained categories and specifics in images.

Large Language Models 134

Large Language Models LLM Metadata AI 134

Marktechpost

FEBRUARY 16, 2024

Humans mark or process the provided photos for convenience and rigor to address the intricate visual challenges; this process is known as manipulation. Models can execute evidential visual reasoning for issue-solving by mimicking basic human-like behaviors (e.g., cropping, zooming in).

Large Language Models 108

Large Language Models Machine Learning Automation ML 108

AWS Machine Learning Blog

NOVEMBER 29, 2023

At AWS re:Invent this year, we are excited to announce new capabilities to foster responsible generative AI innovation across a broad set of capabilities with new built-in tools, customer protections, resources to enhance transparency, and tools to combat disinformation. relevance, style, and brand voice).

Responsible AI 97

Responsible AI Generative AI AI AI 97

AWS Machine Learning Blog

SEPTEMBER 5, 2023

We use the powerful generating capability of LLMs to generate the final decision including safe/unsafe labels and category type. The designed prompt template allows the LLM to determine if the image violates the moderation policy, identify the category of violation, explain why, and provide the output in a structured JSON format.

Generative AI 89

Generative AI LLM ML Computer Vision 89

Viso.ai

MAY 13, 2024

They generate labels that allow ML algorithms to interpret the text in a human-like fashion. A sentiment analysis application requires blocks of text to be classified into a sentiment category. These include: Time-Consuming : Text corpora can be extensive, and manually labelling the entire dataset is time and resource-consuming.

Computer Vision 52

Computer Vision Natural Language Processing Categorization Chatbots 52

Ehud Reiter

JUNE 28, 2023

Most “leaderboard” data-to-text tasks, such as E2E and WebNLG, fit into this category. Generally speaking, LLMs do very well on such tasks *if* they are evaluated on a “leaderboard” basis, that is average performance on a test set as measured by automatic or simple human evaluation.

LLM 177

LLM ChatGPT 177

Marktechpost

SEPTEMBER 13, 2023

This benchmark considers four crucial aspects of intelligence: Symbolic Mapping: LLMs are tested for their ability to generalize to new contexts using a symbolic mapping approach, similar to studies that use symbols instead of category labels.

LLM 119

LLM Large Language Models NLP AI Researcher 119

Google Research AI blog

JUNE 9, 2023

To provide insight into the relative strengths and weaknesses of different models, EditBench prompts are designed to test fine-grained details along three categories: (1) attributes (e.g., Imagen Editor outperforms these models by substantial margins across all EditBench evaluation categories. Human evaluation.

Responsible AI 113

Responsible AI Automation AI AI 113

Marktechpost

MAY 2, 2024

Numerous initiatives are influencing the ethical use of AI to prioritize human rights and innovation. It mentions how clear duties must be followed by high-risk AI systems in order to reduce possible harm, maintain openness, and provide human oversight. Here are some of the top AI governance laws and frameworks.

Artificial Intelligence 142

Artificial Intelligence Artificial Intelligence AI AI 142

Mlearning.ai

FEBRUARY 18, 2024

Source: Paper Use-case: The COCO dataset stands out as a versatile resource catering to a range of computer vision tasks. Keypoint detection with COCO: In keypoint detection, human subjects undergo annotation with key points of significance, encompassing joints such as the elbow and knee.

Computer Vision 52

Computer Vision Machine Learning Algorithm ML 52

Marktechpost

APRIL 12, 2024

A CNN automatically detects the important features without any human supervision. For example, they can generate photographs that look authentic to human observers. Their applications range from image generation, photo-realistic image modification, art creation, and even generating realistic human faces.

Deep Learning 134

Deep Learning Convolutional Neural Networks Neural Network Natural Language Processing 134

Becoming Human

MAY 9, 2024

As a human reader, you can easily identify these pieces of information and understand their significance in the context of the article. NLP is a branch of artificial intelligence (AI) that aims to teach machines how to understand, interpret, and generate human language. It’s crucial in various AI and machine learning (ML) applications.

Natural Language Processing 52

Natural Language Processing NLP Categorization Data Mining 52

IBM Journey to AI blog

APRIL 14, 2023

By leveraging this technology, they developed custom budget models for sales performance, human resources planning, operating expenses, and a complete profit and loss statement. Additionally, dashboards and reports were crafted based on the budget models and conducted variance analysis for specific areas.

Business Intelligence 169

Business Intelligence Automation 169

Towards AI

APRIL 4, 2024

According to IBM, machine learning is a subfield of computer science and artificial intelligence (AI) that focuses on using data and algorithms to simulate human learning processes while progressively increasing their accuracy.

Machine Learning 69

Machine Learning Algorithm Neural Network Categorization 69

Towards AI

APRIL 3, 2024

It also requires computational resources to achieve high-quality results, making it hard for the current methods to operate in real-time at scale. Dataset considerations One of the aspects that each of the methods listed below acknowledges is the need for a diverse dataset with high-quality images of human faces. What matters?

Machine Learning 89

Machine Learning Neural Network Computer Vision AI 89

Marktechpost

DECEMBER 12, 2023

This can be seen in resources like the Llama 2 Responsible Use Guide. They propose distinct guidelines for labeling LLM output (responses from the AI model) and human requests (input to the LLM). At inference time, one can choose between several fine-tuned taxonomies and apply Llama Guard accordingly.

Generative AI 97

Generative AI AI Modeling Large Language Models LLM 97