Within our A.L.I.C.E Platform - we have a range of LLM integrations which can be accessed depending on your individual desired outcomes and use cases.
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With this, there is functionality which can be specifically tailored to your needs.
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The LLM integrations are defined as Intelligence Engines and can be split into two main categories:

These engines are useful for document, spreadsheet and other proposed forms of data which can be digested, vectorised and then queried. This is perfect for document analysis, csv file analysis and more.
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These engines are useful for open conversations with AI in order to delve deeper on topics and talk about information you have learnt to want to expand on.

Assuming your organisations LLM access policies allow, you will be provided access to direct LLM options as follows:

Open AI's Chat GPT 4 has key use cases based around learning and digesting topics.

GPT-4 excels at teasing out subtle nuances and delivering detailed, context-aware responses across a wide array of topics, making it a powerful tool for complex problem-solving and creative tasks.

GPT-03 mini is designed for efficiency and faster response times, offering a more lightweight and resource-conscious alternative for applications that require quick, cost-effective language generation.
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Mistral Large is best at performing qualitative analysis, excelling in tasks such as sentiment analysis, topic modeling, and text summarization due to its ability to understand and generate responses based on broad contexts. It also shines in exploratory data analysis where understanding complex patterns and generating insights from text data are crucial.

Grok 2 is particularly adept at quantitative analysis, excelling in tasks such as numerical data processing, statistical analysis, and predictive modeling due to its advanced computational capabilities. It also performs exceptionally well in real-time data analysis, providing quick and accurate insights from dynamic data sets.

DeepSeek R1 is a sophisticated language model designed to effectively process and understand human language, enabling it to tackle a variety of text-based tasks with precision. It excels in generating text, summarizing content, and conducting sentiment analysis, making it an ideal tool for handling complex textual information and deriving rapid meaningful insights.

Gemini 2.0 is a multimodal AI model designed to seamlessly integrate and reason across various data types, including text, images, audio, and video. This allows it to excel at complex tasks requiring a holistic understanding of information, such as advanced reasoning, creative content generation, and in-depth analysis of multifaceted data.

NemoTron 3 70B is a large language model developed by NVIDIA that is considered particularly strong in tasks requiring logical reasoning, complex problem-solving, and accurate responses to challenging questions, especially in STEM fields like mathematics and science; making it ideal for applications like virtual assistants, customer service bots, and scenarios where precise information retrieval is crucial.