Large language models (LLM) are a type of artificial intelligence model that are trained on huge corpora of natural language data. They are used for a variety of tasks such as machine translation, natural language generation, and natural language understanding. These models are able to capture the semantic and syntactic features of language in large scale data sets, thus enabling the machine to learn the linguistic structure and produce better language responses.
Generative AI is an artificial intelligence technology that is used to create data or content. It is able to generate new content that can be used for creative applications such as image generation, text generation, or music synthesis. By leveraging big data and machine learning algorithms, generative AI can create unique and creative data or content that can be used for various purposes.
GROK improves model "alignment" - the ability to follow user intentions while also making it more truthful and generating less offensive or dangerous output. It also improves on factual correctness and "steerability," which is the ability to change its behavior according to user requests.
GROK's Buy & Sell Tax is 0%. Set slippage to 0.2% (to increase slippage during volatile period). 50% of the token is burnt on launch and further burning will be done premium API launch. Contract Ownership is renounced on launch & liquidity pool will be locked for a year.
TensorFlow is an open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.
KNIME, the Konstanz Information Miner, is an open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.
Spark.ml is the primary Machine Learning API for Spark. The library Spark.ml offers a higher-level API built on top of DataFrames for constructing ML pipelines.
Keras is a high-level, deep learning API developed by Google for implementing neural networks. It is written in Python and is used to make the implementation of neural networks easy. It also supports multiple backend neural network computation.
Scikit-Learn, also known as sklearn is a python library to implement machine learning models and statistical modelling. Through scikit-learn, we can implement various machine learning models for regression, classification, clustering, and statistical tools for analyzing these models.
PyTorch is a machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing, originally developed by Meta AI and now part of the Linux Foundation umbrella.
GROK Artist is a revolutionary model which enables users to create remarkably lifelike images in an impressively short amount of time, simply using text. With this amazing technology, billions of people now have the opportunity to let their imaginations run wild and create works of art without restrictions; offering them ample opportunity to express themselves.Create AI Image
GROK GPT-4 improves model "alignment" - the ability to follow user intentions while also making it more truthful and generating less offensive or dangerous output. It also improves on factual correctness and "steerability," which is the ability to change its behavior according to user requests.Try GROK GPT
Upon launching, Phase 1 will involve a beta version of GROK AI Draw and GROK GPT, and is projected to last between 1 to 3 months, depending on the rate of progress of our team. This phase's focus will be on building the foundation and gaining users.
It will be centred around boosting the acceptance of the token, preparing for commercial use, and putting together a system involving automated buy-back and destruction of $GROK tokens as an incentive for businesses to use AI technology and to provide API directions for software developers.
Focusing on developing premium & commercial version for our various AI products, bringing in revenue for the token. It will be utilized to expand the popularity of the token by listing it on more central exchanges, using it to repurchase and burn tokens.