Generative AI Applications Archives

AI in case management

by ZBrain | Mar 18, 2025 | Generative AI, Generative AI Applications, Generative AI Use Cases

← All Insights AI in case management: Scope, integration, use cases, challenges and future outlook Listen to the article Your browser does not support the audio element. Effective case management is vital for organizations handling high case volumes, ensuring...

Generative AI for IT

by ZBrain | Mar 17, 2025 | Generative AI, Generative AI Applications, Generative AI Use Cases

← All Insights Generative AI in IT: Scope, market dynamics, use cases, challenges, ROI and future outlook Listen to the article Your browser does not support the audio element. In today’s digital era, Generative AI (GenAI) is rapidly transforming the IT sector,...

AI in complaints and returns management

by ZBrain | Mar 13, 2025 | Generative AI, Generative AI Applications, Generative AI Use Cases

← All Insights AI in complaints and returns management: Scope, integration, use cases, challenges and future outlook Listen to the article Your browser does not support the audio element. AI is transforming complaints and returns management, helping businesses...

Generative AI in marketing

by ZBrain | Mar 12, 2025 | Generative AI, Generative AI Applications, Generative AI Use Cases

← All Insights Generative AI in marketing: Scope, use cases, challenges, integration strategies and future roadmap Listen to the article Your browser does not support the audio element. As marketing landscapes continue to evolve, generative AI emerges as a pivotal...

AI in service revenue management

by ZBrain | Mar 11, 2025 | Generative AI, Generative AI Applications, Generative AI Use Cases

← All Insights AI in service revenue management: Scope, integration, use cases, challenges and future outlook Listen to the article Your browser does not support the audio element. Service revenue management is a critical component of business operations, encompassing...

Vibe coding

by ZBrain | Mar 11, 2025 | Generative AI, Generative AI Applications, Generative AI Use Cases

← All Insights What is vibe coding? AI-powered software development explained Listen to the article Your browser does not support the audio element. Vibe coding is transforming how software is written. Coined by AI expert Andrej Karpathy, the term refers to a...

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.

AI in case management

Generative AI for IT

AI in complaints and returns management

Generative AI in marketing

AI in service revenue management

Vibe coding

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