Search Results

As a floatation device A pool noodle is a long, buoyant, and lightweight foam tube, typically used as a flotation device in swimming pools. It's often used for fun, relaxation, and safety, especially for children or non-swimmers. The noodle floats on water, p...

This persona is normally not visible for the public. But, you use it every day.  This persona is used to generate a short descriptive title for a chat session, based on the first prompt the user enters. The persona is used by ScaiWave internally to give title...

The Top P value is a parameter used in AI models, particularly in natural language processing (NLP) models like GPT-3 or our own Poolnoodles, to control the diversity of generated text. It is a probability threshold that determines the likelihood of a word or ...

In the context of AI models, particularly in natural language processing (NLP) models, the temperature setting is a parameter that controls the randomness or creativity of the generated text. It is a numerical value between 0 and 1, with a lower temperature re...

Persona University is still being developed. As soon as it is done, this chapter will be updated.  

Schematic Overview ScaiGrid runs on a modern, containerized infrastructure using a scalable micro-services architecture. Micro-services can be scaled "horizontally" if demand increases and can be scaled back in case of low load. The picture above is a sche...

Kubernetes deployment The ScaiGrid components are developed to be deployed in a containerized environment. Currently, Kubernetes is currently the only end-to-end supported platform for a fully elastic ScaiGrid deployment.

ScaiGrid uses an API-key for authentication and authorization of end-points. Simply add the "Api-Key" header containing the value in all of the outgoing requests to authenticate.  Requesting access Requesting access to ScaiGrid can be done sending a mail ser...

Technical documentation for this endpoint can be found at https://api.scaigrid.ai/swagger/#/DataCollection. Data-collection is the process of gathering data and information for use in (chat)completions. Data can be gathered from various sources like OneDrive...

Klik hier om een nieuwe chat sessie te starten. Kies hier met welk model je de chat sessie wil starten. Met het plusteken bij [2] kunnen meerdere modellen aan de chatsessie toegevoegd worden. Dit stelt je in staat om aan meerdere modellen gelijktijdig dez...

Onder de drie horizontale puntjes bij [1] zit een menu met enkele opties voor deze chat. Onder andere kan de chatsessie hier gedeeld worden en kunnen de chatsessies van tags worden voorzien. Tags zijn een aanvulling op mappen en bieden een extra manier om ...

The maximum number of tokens or characters that a language model can process and consider in a single input. It determines how much "context" the model can take into account when generating responses or making predictions. Exceeding the context length may requ...

A method in natural language processing that combines traditional large language models (LLMs) with external information retrieval systems. In RAG, the model generates responses by first retrieving relevant information from a database or document collection an...

In the context of natural language processing (NLP), a token is the smallest unit of text that a language model processes. Tokens can be words, subwords (smaller units within words), or even characters, depending on the model's tokenization method. The number ...