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Sparkflows seamlessly integrates various LLM models from OpenAI, Claude, Google Gemini and Amazon Bedrock. Some of the popular models used by our customers are GPT-4, GPT-3.5-turbo-16k, Claude3, Claude2, Gemini, text-davinci-003, text-davinci-002, davinci, curie, babbage, and ada, by leveraging the power of the OpenAI, Claude, Google Gemini and AWS Bedrock API.

With this integration, users can utilize the GPT models to either query private Knowledge bases or directly interact with the GPT models for various language-related tasks like translation, summarisation, text classification among others.

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Customized Prompts


Sparkflows empowers you with advanced response control for precise alignment of user responses with ground truth data, enhancing accuracy and personalization.

Sparkflows enables you to build prompts, play around with them, finalize them and save it in a prompt repo to be used a reusable artifact throughout the organization/groups.


These prompts can be used in the Analytical Apps of Sparkflows. These prompts are fed in the input via the user inputs to the Analytical App. The prompt along with the data/context is sent to OpenAI GPT models and the response is displayed to the user.

Use Cases Enabled

The OpenAI API enables a wide range of use cases, including Natural Language Processing (NLP) tasks like sentiment analysis, text classification, question-answering, language translation, text generation, and summarization. Sentiment analysis gauges customer feedback, while text classification aids content organization. Question-answering supports virtual assistants, and language translation fosters cross-lingual communication. Text generation is useful for content creation, and summarization streamlines data comprehension.


These powerful AI models empower applications across diverse domains, enriching user experiences and delivering value across industries.

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