Unite.AI

NOVEMBER 10, 2023

In a significant development within the wearable technology sector, Humane has introduced its first product, the AI Pin. This device, emerging after a series of demos and hints, marks a notable entry into the AI-integrated gadget market.

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Marktechpost

JULY 2, 2023

With the increasing productization of these technologies, ethical concerns have emerged regarding the privacy and security of individuals. The current tagging systems in social networks need to adequately address the problem of unwanted or unapproved faces appearing in photos.

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Ofemwire

MARCH 1, 2024

That’s where Gemini AI Prompts For SEO Content come in. The new way to write SEO content, In this post, we’ll show you how Gemini AI can transform your SEO strategy. Understanding Gemini AI Prompts Gemini AI prompts are queries or requests made to an artificial intelligence system named Gemini.

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How to Learn Machine Learning

APRIL 23, 2023

Artificial Intelligence (AI) has rapidly transformed the business landscape, enabling organizations to automate complex processes, make data-driven decisions, and enhance customer experiences. From privacy concerns to algorithmic bias, the impact of AI on society, and the workforce is significant.

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Defined.ai blog

APRIL 27, 2023

is proud to introduce its newest CV dataset, a valuable addition to our online marketplace for ethically sourced training data for AI. Each subject in the human dataset has signed a biometric model release, ensuring that their data is used ethically and responsibly. Defined.ai Why are we excited about this human dataset?

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LevelAI

FEBRUARY 23, 2024

In a world where artificial intelligence is reshaping every facet of business, Level AI stands as a vanguard of this transformation, especially in the realm of customer engagement. Recent government announcements, such as the Executive Order on AI by President Biden in the U.S. These initiatives, highlighted by agencies like the U.S.

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IBM Journey to AI blog

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. AI is no longer experimental.

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AssemblyAI

JANUARY 23, 2023

With the massive amount of digital conversational data available–from virtual meetings to call centers to chatbots–it’s no surprise that enterprises are looking to AI to help make sense of this information overload. One area that is rapidly growing to meet this demand is Conversational Intelligence AI.

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Marktechpost

NOVEMBER 10, 2023

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. Mixing non-personalized labels with personalized labels generally had a detrimental impact, emphasizing the higher quality of customized tags.

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Snorkel AI

MARCH 19, 2024

Read on to see how Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours. LLMs are already revolutionizing how businesses harness Artificial Intelligence (AI) in production. That’s simply not feasible with multi-billion parameter LLMs.

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Snorkel AI

MARCH 19, 2024

Read on to see how Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours. LLMs are already revolutionizing how businesses harness Artificial Intelligence (AI) in production. That’s simply not feasible with multi-billion parameter LLMs.

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Pickl AI

JUNE 23, 2023

In the world of artificial intelligence (AI), data plays a crucial role. It is the lifeblood that fuels AI algorithms and enables machines to learn and make intelligent decisions. And to effectively harness the power of data, organizations are adopting data-centric architectures in AI. How Does Data-Centric AI Work?

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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. This gap highlights the vast difference between current AI and the potential of AGI.

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Unite.AI

DECEMBER 26, 2023

In a world where AI startups and tech are constantly pushing the boundaries of what's possible, one groundbreaking platform is changing the game in speech synthesis: ElevenLabs AI. If you've ever yearned for an AI voice generator that exceeds your expectations, you're in for a treat.

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Defined.ai blog

JANUARY 5, 2023

Open-source datasets are a valuable resource for developers and researchers working on conversational AI. These datasets provide large amounts of data that can be used to train machine learning models, allowing developers to create conversational AI systems that are able to understand and respond to natural language input.

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Towards AI

FEBRUARY 20, 2024

Last Updated on February 20, 2024 by Editorial Team Author(s): Vaishnavi Seetharama Originally published on Towards AI. K-means) Applications of Machine Learning Here are just a few of the countless applications of machine learning: Face recognition: Used to unlock smartphones, tag people in photos, and even track criminals.

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Marktechpost

JULY 12, 2023

ProGen was trained on 280M protein sequences from more than 19,000 families, and the model is augmented with control tags specifying the property of the protein. ProGen can be fine-tuned to create more accurate protein sequences using specific sequences and tags.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

In the rapidly evolving world of AI and machine learning (ML), foundation models (FMs) have shown tremendous potential for driving innovation and unlocking new use cases. In this post, we propose Generative AI Gateway as platform for an enterprise to allow secure access to FMs for rapid innovation. What is a Generative AI Gateway?

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TensorFlow

APRIL 4, 2023

Posted by Bhaktipriya Radharapu, Software Engineer, Google Research One of the key goals of Responsible AI is to develop software ethically and in a way that is responsive to the needs of society and takes into account the diverse viewpoints of users.

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Heartbeat

OCTOBER 19, 2023

These remarkable AI systems have found applications in a wide array of fields, revolutionizing the way we interact with technology and enabling new possibilities in communication, automation, and problem-solving. Ethical and Social Considerations While LLMs offer tremendous potential, they also raise important ethical and societal questions.

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John Snow Labs

MAY 8, 2024

Propelled by advancements in intelligence (AI) and machine learning (ML) LLMs are reshaping the way we analyze and interpret the intricate datasets found in pathology. The incorporation of LLMs into pathology represents an intersection between AI and healthcare.

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Pickl AI

JULY 12, 2023

From introducing e-learning platforms to AI-enabled tools, the world of education is undergoing a paradigm change. While the use of AI is debatable, we cannot undermine the fact that it is here to stay. 10 Best AI Tools for Students 1. It’s an AI-powered plagiarism detection tool.

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Marktechpost

JULY 5, 2023

Concerns concerning the ethical implications and potential misuse of such potent language models were also highlighted in light of GPT-3’s powers. link] Modeling in OpenAI One set of AI systems built to comprehend and produce natural language is OpenAI’s GPT-3 models. Although the more advanced GPT-3.5

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Snorkel AI

OCTOBER 12, 2023

Snorkel AI hosted the 2023 installment of its Future of Data-Centric AI virtual conference in June. The two-day event brought together researchers, practitioners, and industry leaders to discuss the latest trends and advances in data-centric AI, and we recorded each session as a video.

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Snorkel AI

OCTOBER 12, 2023

Snorkel AI hosted the 2023 installment of its Future of Data-Centric AI virtual conference in June. The two-day event brought together researchers, practitioners, and industry leaders to discuss the latest trends and advances in data-centric AI, and we recorded each session as a video.

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ODSC - Open Data Science

FEBRUARY 8, 2024

This is a recipe for developing a strategy for incorporating AI into products. An AI strategy is a framework that will help the organization understand what data-driven projects and data sources are the most valuable to the organization, and how to prioritize them to build toward their product vision over time.

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ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. It is exciting to see the launch of ChatGPT,” said Cathy Feng, Evalueserve’s AI Expert. This will help AI adoption in the long term.

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AWS Machine Learning Blog

AUGUST 2, 2023

Generative AI (GenAI) can be helpful in generating the metadata automatically. It allows users to quickly and easily find the images they need without having to manually tag or categorize them. Currently he is helping enterprise customers modernizing their AI/ML workloads within the cloud using industry best practices.

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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. As the landscape around data and AI is constantly evolving, we make no claims that our decisions are flawless.

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The MLOps Blog

JUNE 27, 2023

Model governance and compliance : They should address model governance and compliance requirements, so you can implement ethical considerations, privacy safeguards, and regulatory compliance into your ML solutions. With the help of Neptune, AI teams at Waabi were able to optimize their experiment tracking workflow.

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Mlearning.ai

FEBRUARY 6, 2023

Image generated by DALLE-2 The measures to counter AI-Generated text in education and other fields need their own transparency measures. To combat these issues, OpenAI recently released an AI Text Classifier that predicts how likely it is that a piece of text was generated by AI from a variety of sources, such as ChatGPT.

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AWS Machine Learning Blog

AUGUST 4, 2023

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. For instructions, refer to Bring Your Own AI Models to Salesforce with Einstein Studio The following diagram illustrates the solution architecture. For instructions, refer to Bring Your Own AI Models to Salesforce with Einstein Studio.

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John Snow Labs

JULY 19, 2023

We discuss their unique offerings, compliance with the EU AI Act, pricing, and performance on various tasks. They range from established tech giants flexing their AI muscles, to innovative start-ups pushing the boundaries of what’s possible. While OpenAI is well-known, these companies bring fresh ideas and tools to the LLM world.

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Mlearning.ai

SEPTEMBER 4, 2023

7] For industries with strict regulatory requirements, such as healthcare, finance, or defense, private instances, and business accounts can address this issue but have a hefty price tag. Short-termism: AI budgets are increasing, but much of that spending is taken from other business areas. HuggingFace’s BLOOM).[11]

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Explosion

JUNE 18, 2021

This blog post is based on talks I gave at the “Teaching NLP” workshop at NAACL 2021 and the L3-AI online conference. I’m using “utility” here in the same sense it’s used in economics or ethics. You’re working on the task, and someone suggests extracting keywords from the tickets, which can then act like topic tags.

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