Generative AI Applications Archives - Page 2 of 3

Generative AI for procurement

by ZBrain | Oct 16, 2024 | Generative AI, Generative AI Applications, Generative AI Use Cases

← All Insights Generative AI for procurement: Adoption phases, use cases, integration strategies, and future outlook Talk to our Consultant Listen to the article Your browser does not support the audio element. The buzz around generative AI is growing louder, and for...

Generative AI for corporate accounting

by ZBrain | Oct 15, 2024 | Generative AI Applications, Generative AI Use Cases

← All Insights Generative AI for corporate accounting: Scope, integration strategies, use cases, challenges and future outlook Talk to our Consultant Listen to the article Your browser does not support the audio element. Generative AI is reshaping corporate...

Generative AI in hospitality

by ZBrain | Oct 14, 2024 | Generative AI Applications, Generative AI Use Cases

← All Insights Generative AI in hospitality: Scope, integration approaches, use cases, challenges and future outlook Talk to our Consultant Listen to the article Your browser does not support the audio element. In this era of rapid technological advancement, the...

Generative AI in healthcare

by ZBrain | Oct 14, 2024 | Generative AI, Generative AI Applications

← All Insights Generative AI in healthcare: Scope, integration, use cases, challenges and future outlook Talk to our Consultant Listen to the article Your browser does not support the audio element. The healthcare industry is undergoing a technological revolution...

Generative AI in HR operations

by ZBrain | Oct 14, 2024 | Generative AI Applications, Generative AI Use Cases

← All Insights Generative AI in HR operations: Scope, integration strategies, use cases, challenges and future outlook Talk to our Consultant Listen to the article Your browser does not support the audio element. In the rapidly evolving human resources landscape,...

Generative AI for customer success

by ZBrain | Oct 14, 2024 | Generative AI Applications, Generative AI Use Cases

← All Insights Generative AI for customer success: Development, integration, use cases and future outlook Talk to our Consultant Listen to the article Your browser does not support the audio element. As competition intensifies across industries, providing exceptional...

ZBrain credits and their usage

A credit is a unit of usage on ZBrain. Credits are consumed whenever you perform actions such as embedding documents or querying an app. Here’s how credits are utilized:

Document Embedding:

When you upload a document, it is processed and embedded to create a searchable vector representation. This step consumes credits based on the size of the document and the embedding model used.

Input Processing:

When you ask a question, the relevant context is retrieved from the embeddings and processed by the Large Language Model (LLM). This step incurs a credit cost based on the model and the number of input tokens.

Generating Output

The LLM then generates a response based on the processed input, consuming additional credits based on the number of output tokens.

The cost in credits for various models and processes is detailed below:

Models and Credit Consumption:

Model	Input Cost	Output Cost
GPT-4o	2,500 credits / 1M tokens	7,500 credits / 1M tokens
GPT-4	15,000 credits / 1M tokens	30,000 credits / 1M tokens
GPT-4-32k	30,000 credits / 1M tokens	60,000 credits / 1M tokens
GPT-3.5 Turbo	250 credits / 1M tokens	750 credits / 1M tokens

Embedding Models:

Model	Input Cost
text-embedding-3-small	20 credits / 1M tokens
text-embedding-3-large	130 credits / 1M tokens
ada v2	100 credits / 1M tokens

When you create a knowledge base or query an app, credits are deducted based on the embedding, input, and output token usage. This ensures you only pay for what you use while leveraging the full power of advanced AI models.

Generative AI for procurement

Generative AI for corporate accounting

Generative AI in hospitality

Generative AI in healthcare

Generative AI in HR operations

Generative AI for customer success

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