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DBRX
DBRX is an open-sourced large language model (LLM) developed by Mosaic ML team at Databricks, released on March 27, 2024. It is a mixture-of-experts transformer model, with 132 billion parameters in total. 36 billion parameters (4 out of 16 experts) are active for each token. The released model comes in either a base foundation model version or an instruction-tuned variant. At the time of its release, DBRX outperformed other prominent open-source models such as Meta's LLaMA 2, Mistral AI's Mixtral, and xAI's Grok, in several benchmarks ranging from language understanding, programming ability and mathematics. It was trained for 2.5 months on 3,072 Nvidia H100s connected by 3.2 terabytes per second bandwidth (InfiniBand InfiniBand (IB) is a computer networking communications standard used in high-performance computing that features very high throughput and very low latency. It is used for data interconnect both among and within computers. InfiniBand is also us ...), for a ...
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Mosaic ML
Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks. History Databricks grew out of the AMPLab project at University of California, Berkeley that was involved in making Apache Spark, an open-source distributed computing framework built atop Scala. The company was founded by Ali Ghodsi, Andy Konwinski, Arsalan Tavakoli-Shiraji, Ion Stoica, Matei Zaharia, Patrick Wendell, and Reynold Xin. In November 2017, the company was announced as a first-party service on Microsoft Azure via the integration Azure Databricks. The company develops Delta Lake, an open-source project to bring reliability to data lakes for machine learning and other data science use cases. In June 2020, Databricks acquired Redash, an open-source tool designed to help data scientists and analysts visualize and build interactive dashboar ...
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Databricks
Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks. History Databricks grew out of the AMPLab project at University of California, Berkeley that was involved in making Apache Spark, an open-source distributed computing framework built atop Scala. The company was founded by Ali Ghodsi, Andy Konwinski, Arsalan Tavakoli-Shiraji, Ion Stoica, Matei Zaharia, Patrick Wendell, and Reynold Xin. In November 2017, the company was announced as a first-party service on Microsoft Azure via the integration Azure Databricks. The company develops Delta Lake, an open-source project to bring reliability to data lakes for machine learning and other data science use cases. In June 2020, Databricks acquired Redash, an open-source tool designed to help data scientists and analysts visualize and build interactive d ...
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Wikipedia
Wikipedia is a multilingual free online encyclopedia written and maintained by a community of volunteers, known as Wikipedians, through open collaboration and using a wiki-based editing system. Wikipedia is the largest and most-read reference work in history. It is consistently one of the 10 most popular websites ranked by Similarweb and formerly Alexa; Wikipedia was ranked the 5th most popular site in the world. It is hosted by the Wikimedia Foundation, an American non-profit organization funded mainly through donations. Wikipedia was launched by Jimmy Wales and Larry Sanger on January 15, 2001. Sanger coined its name as a blend of ''wiki'' and '' encyclopedia''. Wales was influenced by the " spontaneous order" ideas associated with Friedrich Hayek and the Austrian School of economics after being exposed to these ideas by the libertarian economist Mark Thornton. Initially available only in English, versions in other languages were quickly developed. Its combi ...
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Large Language Model
A large language model (LLM) is a language model consisting of a neural network with many parameters (typically billions of weights or more), trained on large quantities of unlabelled text using self-supervised learning. LLMs emerged around 2018 and perform well at a wide variety of tasks. This has shifted the focus of natural language processing research away from the previous paradigm of training specialized supervised models for specific tasks. Properties Though the term ''large language model'' has no formal definition, it often refers to deep learning models having a parameter count on the order of billions or more. LLMs are general purpose models which excel at a wide range of tasks, as opposed to being trained for one specific task (such as sentiment analysis, named entity recognition, or mathematical reasoning). The skill with which they accomplish tasks, and the range of tasks at which they are capable, seems to be a function of the amount of resources (data, parameter-si ...
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Mixture Of Experts
Mixture of experts (MoE) refers to a machine learning technique where multiple expert networks (learners) are used to divide a problem space into homogeneous regions. It differs from ensemble techniques in that typically only a few, or 1, expert model will be run, rather than combining results from all models. An example from computer vision is combining one neural network model for human detection with another for pose estimation. Hierarchical mixture If the output is conditioned on multiple levels of (probabilistic) gating functions, the mixture is called a hierarchical mixture of experts. A gating network decides which expert to use for each input region. Learning thus consists of learning the parameters of: * individual learners and * gating network. Applications Meta Meta (from the Greek μετά, '' meta'', meaning "after" or "beyond") is a prefix meaning "more comprehensive" or "transcending". In modern nomenclature, ''meta''- can also serve as a prefix meaning ...
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Transformer (deep Learning Architecture)
A transformer is a deep learning architecture developed by researchers at Google and based on the multi-head attention mechanism, proposed in a 2017 paper " Attention Is All You Need". Text is converted to numerical representations called tokens, and each token is converted into a vector via looking up from a word embedding table. At each layer, each token is then contextualized within the scope of the context window with other (unmasked) tokens via a parallel multi-head attention mechanism allowing the signal for key tokens to be amplified and less important tokens to be diminished. Transformers have the advantage of having no recurrent units, and therefore require less training time than earlier recurrent neural architectures (RNNs) such as long short-term memory (LSTM). Later variations have been widely adopted for training large language models (LLM) on large (language) datasets, such as the Wikipedia corpus and Common Crawl. Transformers were first developed as an impr ...
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Foundation Model
A foundation model, also known as large AI model, is a machine learning or deep learning model that is trained on broad data such that it can be applied across a wide range of use cases.Competition and Markets Authority (2023). ''AI Foundation Models: Initial Report''. Available at: https://assets.publishing.service.gov.uk/media/65081d3aa41cc300145612c0/Full_report_.pdf Foundation models have transformed artificial intelligence (AI), powering prominent generative AI applications like ChatGPT. The Stanford Institute for Human-Centered Artificial Intelligence's (HAI) Center for Research on Foundation Models (CRFM) created and popularized the term. Foundation models are general-purpose technologies that can support a diverse range of use cases. Building foundation models is often highly resource-intensive, with the most expensive models costing hundreds of millions of dollars to pay for the underlying data and compute required. In contrast, adapting an existing foundation model for ...
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Instruction Tuning
A large language model (LLM) is a language model consisting of a neural network with many parameters (typically billions of weights or more), trained on large quantities of unlabelled text using self-supervised learning. LLMs emerged around 2018 and perform well at a wide variety of tasks. This has shifted the focus of natural language processing research away from the previous paradigm of training specialized supervised models for specific tasks. Properties Though the term ''large language model'' has no formal definition, it often refers to deep learning models having a parameter count on the order of billions or more. LLMs are general purpose models which excel at a wide range of tasks, as opposed to being trained for one specific task (such as sentiment analysis, named entity recognition, or mathematical reasoning). The skill with which they accomplish tasks, and the range of tasks at which they are capable, seems to be a function of the amount of resources (data, parameter-si ...
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Meta Platforms
Meta Platforms, Inc., (file no. 3835815) doing business as Meta and formerly named Facebook, Inc., and TheFacebook, Inc., is an American multinational technology conglomerate based in Menlo Park, California. The company owns Facebook, Instagram, and WhatsApp, among other products and services. Meta was once one of the world's most valuable companies, but as of 2022 is not one of the top twenty biggest companies in the United States. It is considered one of the Big Five American information technology companies, alongside Alphabet, Amazon, Apple, and Microsoft. As of 2022, it is the least profitable of the five. Meta's products and services include Facebook, Messenger, Facebook Watch, and Meta Portal. It has also acquired Oculus, Giphy, Mapillary, Kustomer, Presize and has a 9.99% stake in Jio Platforms. In 2021, the company generated 97.5% of its revenue from the sale of advertising. In October 2021, the parent company of Facebook changed its name from Facebook, Inc., ...
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LLaMA
The llama (; ) (''Lama glama'') is a domesticated South American camelid, widely used as a meat and pack animal by Andean cultures since the Pre-Columbian era. Llamas are social animals and live with others as a herd. Their wool is soft and contains only a small amount of lanolin. Llamas can learn simple tasks after a few repetitions. When using a pack, they can carry about 25 to 30% of their body weight for 8 to 13 km (5–8 miles). The name ''llama'' (in the past also spelled "lama" or "glama") was adopted by European settlers from native Peruvians. The ancestors of llamas are thought to have originated from the Great Plains of North America about 40 million years ago, and subsequently migrated to South America about three million years ago during the Great American Interchange. By the end of the last ice age (10,000–12,000 years ago), camelids were extinct in North America. As of 2007, there were over seven million llamas and alpacas in South America an ...
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Mistral AI
Mistral AI, headquartered in Paris, France specializes in artificial intelligence (AI) products and focuses on open-weight large language models, (LLMs). Founded in April 2023 by former engineers from Google DeepMind and Meta Platforms, the company has gained prominence as an alternative to proprietary AI systems. Named after the mistrala powerful, cold wind in southern Francethe company emphasized openness and innovation in the AI field. Mistral AI positions itself as an alternative to proprietary models. In October 2023, Mistral AI raised €385 million. By December 2023, it was valued at over $2 billion. In June 2024, Mistral AI secured a €600 million ($645 million) founding round, elevating its valuation to €5.8 billion ($6.2 billion). Led by venture capital firm General Catalyst, this round resulted in additional contributions from existing investors. The funds aim to support the company's expansion. Mistral AI has published three open-source models available as weig ...
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XAI (company)
X.AI Corp., doing business as xAI, is an American startup company working in the area of artificial intelligence (AI). Founded by Elon Musk in March 2023, its stated goal is "to understand the true nature of the universe". History In 2015, Musk was the founding co-chairman at the non-profit AI research company OpenAI. He reportedly committed to invest as much as $1 billion in OpenAI, but stepped down from the board in 2018 after an unsuccessful bid to take over its management, the result of a disagreement over AI safety. xAI was founded by Musk in Nevada on March 9, 2023, and has since been headquartered in the San Francisco Bay Area in California. Igor Babuschkin, formerly associated with Google's DeepMind unit, was recruited by Musk to be Chief Engineer. Musk officially announced the formation of xAI on July 12, 2023. He linked the date (7 + 12 + 23 = 42) to the book '' The Hitchhiker's Guide to the Galaxy'' by Douglas Adams, in which a supercomputer calculates ...
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