Preamble (company)
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Preamble (company)
Preamble is a U.S.-based AI safety startup founded in 2021. It provides tools and services to help companies securely deploy and manage Large language model, large language models (LLMs). Preamble is known for its contributions to identifying and mitigating prompt injection attacks in LLMs. History Preamble is particularly notable for its early discovery of vulnerabilities in widely used AI models, such as GPT-3, with a primary discovery of the prompt injection attacks. These findings were first reported privately to OpenAI in 2022 and have since been the subject of numerous studies in the field. Preamble has entered a partnership with Nvidia to improve AI safety and risk mitigation for enterprises. They are a part of the Air Force security program as a notable Pittsburgh AI hub. Since 2024, Preamble has partnered with IBM to combine their guardrails with IBM Watsonx. Research Preamble's research revolves around AI security, AI ethics, privacy and Regulation of artific ...
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Artificial Intelligence
Artificial intelligence (AI) is the capability of computer, computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to machine perception, perceive their environment and use machine learning, learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon (company), Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Amazon Alexa, Alexa); autonomous vehicles (e.g., Waymo); Generative artificial intelligence, generative and Computational creativity, creative tools (e.g., ChatGPT and AI art); and Superintelligence, superhuman play and analysis in strategy games (e.g., ...
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Privacy
Privacy (, ) is the ability of an individual or group to seclude themselves or information about themselves, and thereby express themselves selectively. The domain of privacy partially overlaps with security, which can include the concepts of appropriate use and Information security, protection of information. Privacy may also take the form of bodily integrity. Throughout history, there have been various conceptions of privacy. Most cultures acknowledge the right of individuals to keep aspects of their personal lives out of the public domain. The right to be free from unauthorized invasions of privacy by governments, corporations, or individuals is enshrined in the privacy laws of many countries and, in some instances, their constitutions. With the rise of technology, the debate regarding privacy has expanded from a bodily sense to include a digital sense. In most countries, the right to digital privacy is considered an extension of the original right to privacy, and many count ...
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Companies Based In Pittsburgh
A company, abbreviated as co., is a legal entity representing an association of legal people, whether natural, juridical or a mixture of both, with a specific objective. Company members share a common purpose and unite to achieve specific, declared goals. Over time, companies have evolved to have the following features: "separate legal personality, limited liability, transferable shares, investor ownership, and a managerial hierarchy". The company, as an entity, was created by the state which granted the privilege of incorporation. Companies take various forms, such as: * voluntary associations, which may include nonprofit organizations * business entities, whose aim is to generate sales, revenue, and profit * financial entities and banks * programs or educational institutions A company can be created as a legal person so that the company itself has limited liability as members perform or fail to discharge their duties according to the publicly declared incorporation pu ...
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United States Patent And Trademark Office
The United States Patent and Trademark Office (USPTO) is an List of federal agencies in the United States, agency in the United States Department of Commerce, U.S. Department of Commerce that serves as the national patent office and trademark registration authority for the United States. The USPTO's headquarters are in Alexandria, Virginia, after a 2005 move from the Crystal City, Virginia, Crystal City area of neighboring Arlington County, Virginia, Arlington, Virginia. The USPTO is "unique among federal agencies because it operates solely on fees collected by its users, and not on taxpayer dollars". Its "operating structure is like a business in that it receives requests for services—applications for patents and trademark registrations—and charges fees projected to cover the cost of performing the services [it] provide[s]". The office is headed by the Under Secretary of Commerce for Intellectual Property, under secretary of commerce for intellectual property and directo ...
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Sensitive Information
Information sensitivity is the control of access to information or knowledge that might result in loss of an advantage or level of security if disclosed to others. Loss, misuse, modification, or unauthorized access to sensitive information can adversely affect the privacy or welfare of an individual, trade secrets of a business or even the security and international relations of a nation depending on the level of sensitivity and nature of the information. Non-sensitive information Public information This refers to information that is already a matter of public record or knowledge. With regard to government and private organizations, access to or release of such information may be requested by any member of the public, and there are often formal processes laid out for how to do so. The accessibility of government-held public records is an important part of government transparency, accountability to its citizens, and the values of democracy. Public records may furthermore refe ...
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Hate Speech
Hate speech is a term with varied meaning and has no single, consistent definition. It is defined by the ''Cambridge Dictionary'' as "public speech that expresses hate or encourages violence towards a person or group based on something such as race, religion, sex, or sexual orientation". The ''Encyclopedia of the American Constitution'' states that hate speech is "usually thought to include communications of animosity or disparagement of an individual or a group on account of a group characteristic such as race, color, national origin, sex, disability, religion, or sexual orientation". There is no single definition of what constitutes "hate" or "disparagement". Legal definitions of hate speech vary from country to country. There has been much debate over freedom of speech, hate speech, and hate speech legislation. The laws of some countries describe hate speech as speech, gestures, conduct, writing, or displays that incite violence or prejudicial actions against a group o ...
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BERT (language Model)
Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. It learns to represent text as a sequence of vectors using self-supervised learning. It uses the Transformer (machine learning model), encoder-only transformer architecture. BERT dramatically improved the State of the art, state-of-the-art for large language model, large language models. , BERT is a ubiquitous baseline in natural language processing (NLP) experiments. BERT is trained by masked token prediction and next sentence prediction. As a result of this training process, BERT learns contextual, Latent space, latent representations of tokens in their context, similar to ELMo and GPT-2. It found applications for many natural language processing tasks, such as coreference resolution and polysemy resolution. It is an evolutionary step over ELMo, and spawned the study of "BERTology", which attempts to interpret what is learned by BERT. BERT wa ...
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Large Language Model
A large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. The largest and most capable LLMs are generative pretrained transformers (GPTs), which are largely used in generative chatbots such as ChatGPT or Gemini. LLMs can be fine-tuned for specific tasks or guided by prompt engineering. These models acquire predictive power regarding syntax, semantics, and ontologies inherent in human language corpora, but they also inherit inaccuracies and biases present in the data they are trained in. History Before the emergence of transformer-based models in 2017, some language models were considered large relative to the computational and data constraints of their time. In the early 1990s, IBM's statistical models pioneered word alignment techniques for machine translation, laying the groundwork for corpus-based language modeling. A sm ...
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Regulation Of Artificial Intelligence
Regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI). It is part of the broader regulation of algorithms. The regulatory and policy landscape for AI is an emerging issue in jurisdictions worldwide, including for international organizations without direct enforcement power like the IEEE or the OECD. Since 2016, numerous AI ethics guidelines have been published in order to maintain social control over the technology. Regulation is deemed necessary to both foster AI innovation and manage associated risks. Furthermore, organizations deploying AI have a central role to play in creating and implementing trustworthy AI, adhering to established principles, and taking accountability for mitigating risks. Regulating AI through mechanisms such as review boards can also be seen as social means to approach the AI control problem. Background According to Stanford University's 2025 AI Index, ...
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AI Ethics
The ethics of artificial intelligence covers a broad range of topics within AI that are considered to have particular ethical stakes. This includes algorithmic biases, fairness, automated decision-making, accountability, privacy, and regulation. It also covers various emerging or potential future challenges such as machine ethics (how to make machines that behave ethically), lethal autonomous weapon systems, arms race dynamics, AI safety and alignment, technological unemployment, AI-enabled misinformation, how to treat certain AI systems if they have a moral status (AI welfare and rights), artificial superintelligence and existential risks. Some application areas may also have particularly important ethical implications, like healthcare, education, criminal justice, or the military. Machine ethics Machine ethics (or machine morality) is the field of research concerned with designing Artificial Moral Agents (AMAs), robots or artificially intelligent computers that behave ...
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Pittsburgh
Pittsburgh ( ) is a city in Allegheny County, Pennsylvania, United States, and its county seat. It is the List of municipalities in Pennsylvania#Municipalities, second-most populous city in Pennsylvania (after Philadelphia) and the List of United States cities by population, 67th-most populous city in the U.S., with a population of 302,971 as of the 2020 United States census, 2020 census. The city is located in Western Pennsylvania, southwestern Pennsylvania at the confluence of the Allegheny River and Monongahela River, which combine to form the Ohio River. It anchors the Greater Pittsburgh, Pittsburgh metropolitan area, which had a population of 2.457 million residents and is the largest metro area in both the Ohio Valley and Appalachia, the Pennsylvania metropolitan areas, second-largest in Pennsylvania, and the List of metropolitan statistical areas, 26th-largest in the U.S. Pittsburgh is the principal city of the greater Pittsburgh–New Castle–Weirton combined statistic ...
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IBM Watsonx
Watsonx is IBM's commercial generative AI and scientific data platform based on cloud computing, cloud. It offers a studio, data store, and governance toolkit. It supports multiple large language models (LLMs) along with IBM's own IBM Granite, Granite. The platform is described as an AI tool tailored to companies and which can be customized for customers' needs and trained on their Confidentiality, confidential data, as client data is said to be not collected by IBM for further training of their models. It is also capable of Fine-tuning (deep learning), fine-tuning, an approach which makes training pre-trained models on the newly introduced data possible. History Watsonx was revealed on May 9, 2023, at the annual IBM Think conference, Think conference of IBM as a platform that includes multiple services. Just like IBM Watson, Watson AI computer with the similar name, Watsonx was named after Thomas J. Watson, IBM's founder and first CEO. On February 13, 2024, Anaconda (Python ...
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