Unleash the power of AutoLLM and create
Reasoning Engines are advanced systems designed to process and analyze information logically. They go beyond the capabilities of standard language models by using sophisticated algorithms to draw conclusions, make decisions, and solve complex problems.
LLMs can't handle vast amounts of data accurately or produce structured output from proprietary data. A single fine-tuned model is limited to one specific task.
With Insituate, you can create copilots using multiple trained open-source models, each proficient in different tasks. However, this is not straightforward. Even optimizing a basic LLM pipeline can be challenging.
A typical LLM pipeline comprises six essential components, each requiring seamless integration for optimal performance. This complexity results in over 10 million possible configurations! Manually achieving the best setup could take months.
AutoLLM automates this process, delivering the perfect configuration in just one day using our proprietary Gridsearch algorithm.
The OpenSource model SQLCoder-7b is better than GPT-4 Out of the box!
With AutoLLM - it has been honed to its limit. The copilot is better performant than the vanilla model. A reasoning engine with this model performs even better!
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