Symbolica Description
Existing models are difficult to validate and expensive to train. They also have a reputation for hallucinations. Symbolica is re-designing the way machines learn. We use the powerfully express language of category theories to develop models that can learn algebraic structure. This allows our models to have an explainable and verifyable model of the world. We want to make it easy for developers and users to understand how and why outputs from models were generated. This control and interpretability of model outputs, including the ability to remove proprietary information from training sets, is essential for mission-critical applications.
Symbolica Alternatives
Athina AI
Monitor your LLMs during production and discover and correct hallucinations and errors related to accuracy and quality with LLM outputs. Check your outputs to see if they contain hallucinations, misinformation or other issues. Configurable for any LLM application. Segment data to analyze in depth your cost, accuracy and response times. To debug generation, you can search, sort and filter your inference calls and trace your queries, retrievals and responses. Explore your conversations to learn what your users feel and what they are saying. You can also find out which conversations were unsuccessful. Compare your performance metrics between different models and prompts. Our insights will guide you to the best model for each use case. Our evaluators analyze and improve the outputs by using your data, configurations and feedback.
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Coral
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GAMS
GAMS (General Algebraic Modeling System), a leading mathematical modeling software, is known for its ease of use, high performance and scalability. GAMSPy, the official release of GAMS, allows users to integrate GAMS and Python. This allows for flexible and powerful models to be created directly within Python. GAMS' efficient algebraic modeling allows users to express optimization problems in a simple and straightforward way. It offers optimal solutions by using top-tier mathematical solvers. GAMS MIRO is a graphical interface for GAMS models that facilitates local and cloud deployment. It also includes advanced visualization features. GAMS Engine is a reliable SaaS-based solution for scalable model solutions. Models can be solved either on-premises, or in the cloud. GAMS also offers workshops, training and consulting services that help users create, improve and deploy decision support solutions.
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Amazon SageMaker
Amazon SageMaker, a fully managed service, provides data scientists and developers with the ability to quickly build, train, deploy, and deploy machine-learning (ML) models. SageMaker takes the hard work out of each step in the machine learning process, making it easier to create high-quality models.
Traditional ML development can be complex, costly, and iterative. This is made worse by the lack of integrated tools to support the entire machine learning workflow. It is tedious and error-prone to combine tools and workflows. SageMaker solves the problem by combining all components needed for machine learning into a single toolset. This allows models to be produced faster and with less effort. Amazon SageMaker Studio is a web-based visual interface that allows you to perform all ML development tasks. SageMaker Studio allows you to have complete control over each step and gives you visibility.
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Company Details
Company:
Symbolica
Website:
www.symbolica.ai
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