Our LSE AI Solutions are designed to help large enterprise businesses seamlessly incorporate artificial intelligence into their daily operations. Whether you’re looking to optimize departmental workflows, enhance data analysis capabilities, or improve customer interactions, we have the expertise and technology to help you achieve your goals.

Monosoft Corporation is a proud partner of Elastic Search. Utilizing Elasticsearch alongside Large Language Models (LLMs) to innovate robust applications for both your customers and employees. Customize generative AI interactions tailored to your business’s specific needs, leveraging real-time, proprietary data. Develop efficient and secure AI applications that offer precision and relevance through Elastic’s vector database, built-in semantic search capabilities, and the adaptable nature of transformer models.

With Elastic Search, teams can automate anomaly detection and root cause analysis, reducing mean time to repair (MTTR). In addition, built-in capabilities such as natural language processing (NLP) and vector search help teams implement search experiences that are easier for end users.

Elasticsearch Relevance Engine™ (ESRE)

The ESRE is engineered to fuel artificial intelligence-driven search applications. Employ ESRE to deploy semantic search with exceptional relevance straightaway, seamlessly integrate with external large language models (LLMs), incorporate hybrid search capabilities, and utilize third-party or proprietary transformer models.

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3. LSE-CAI (Custom AI ) Service Offering: On-Premises solution with Custom AI

Unlocking the Potential of Custom AI with Monosoft Corporation’s LSE-CAI Solution

In the realm of artificial intelligence, customization is key to achieving optimal performance and meeting the unique needs of each enterprise. Monosoft Corporation’s LE-CAI (On-Premises solution with Custom AI) is tailored specifically for large enterprises seeking a bespoke AI solution that offers unparalleled control, efficiency, and security. Let’s delve deeper into what makes LSE-CAI the ultimate choice for enterprises looking to harness the power of AI.

No OpenAI Account Required

Unlike other AI solutions that rely on third-party platforms, LSE-CAI operates independently, eliminating the need for an OpenAI account. This not only enhances data security and privacy but also provides full autonomy and control over your AI infrastructure.

GPU-Powered Performance

LSE-CAI harnesses the computational power of GPUs (Graphics Processing Units), enabling lightning-fast processing speeds and improved response times. The more GPUs your infrastructure possesses, the better the performance, ensuring seamless user experiences and enhanced productivity.

A scientific paper about large language models, published by OpenAI in July of 2020, reveals:  
“All models were trained on V100 GPUs on part of a high bandwidth cluster provided by Microsoft.”  
With 285,000 CPU cores to running specialized AI calculations and 10,000 GPUs. The software used by OpenAI utilizes Nvidia’s CUDA deep neural network library and as such a training is only really happening on the GPUs, the CPUs are more of a supporting actor.

The GPT-3, a precursor to ChatGPT, was trained on Nvidia V100 GPUs.

Helpful resources in understanding infrastructure required:

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Efficiency and Scalability

Efficiency is paramount in AI operations, and LE-CAI delivers on this front by optimizing LLM (Large Language Model) input parameters and weights. To give a brief idea on how many parameters GPT-3.5 utilizes are 20 billion+ parameters, GPT-4 boasts an impressive 1.7 trillion+, allowing for unparalleled efficiency and scalability in processing large datasets and complex queries.

MonoSuiteApps Integration

To ensure seamless integration and compatibility with your existing infrastructure, LSE-CAI leverages MonoSuiteApps to normalize knowledge base documents into a vector database. This facilitates efficient data retrieval and processing, empowering your AI system to deliver accurate and relevant responses to user queries.

MonoStandAloneAI for Context Generation

At the heart of LSE-CAI lies MonoStandAloneAI, a powerful tool designed to process user queries and generate context using knowledge base information from the vector database. This sophisticated AI component ensures that responses are tailored to the user’s needs, enhancing engagement and satisfaction.

Optimized Infrastructure

Effective AI deployment requires robust on-site infrastructure capable of handling both training and inference tasks efficiently. LSE-CAI ensures optimal performance by leveraging GPUs or TPUs (Tensor Processing Units) to boost processing speed and enhance overall system performance.

Expertise and Support

Building and fine-tuning an LLM requires expertise in machine learning and deep learning. Monosoft Corporation provides access to skilled professionals with extensive experience in these fields, ensuring that your AI solution is optimized for maximum efficiency and effectiveness.