Algo8.AI Collaborates with Intel to Optimize Task Management with Advanced LLM Solutions

Algo8.AI is proud to announce its successful collaboration with Intel to enhance the performance of our fine-tuned Large Language Model (LLM). This collaboration has enabled us to significantly improve the efficiency of our task management processes across multiple departments, including IT, HR, Customer Support, and Operations. Leveraging the power of LLMs, we have automated the classification and handling of tasks, addressing the challenges posed by the current manual and error-prone system.

Project Overview

Our solution automates the task classification process, categorizing tasks into predefined categories: routine, non-routine, and undefined. This automated classification reduces the time and effort required for manual sorting and ensures accurate task handling across various departments. Additionally, the application enhances data extraction from project documents, providing stakeholders with key insights and summaries, thus improving project interaction management.

Key Features and Use Cases

1. Task Classifier: Automatically categorizes tasks into routine, non-routine, and undefined categories, optimizing the task management process and reducing manual workload.
2. Data Extractor: Extracts essential data from project documents, enabling better information retrieval and improved handling of project interactions.
3. Interaction Follow-Up: Automates follow-up communications through emails and chatbots, ensuring smooth and timely project interactions and documentation.
4. Summary Generator: Generates concise summaries of key documents and interactions, helping stakeholders stay informed and up-to-date on project progress.

Scalable Integration

The solution is designed to be deployed as a scalable application that integrates seamlessly with the organization’s existing project management systems. This ensures streamlined task handling and improved efficiency across departments, while also providing the flexibility to adapt to evolving project requirements.

Optimization on Intel Architecture

To maximize performance and efficiency, the automates the task classification has been meticulously optimized for Intel Architecture, leveraging the advanced capabilities of Intel’s OpenVINO™ Toolkit. This optimization ensures the automates the task classification fully utilizes Intel’s hardware, resulting in faster processing times, reduced latency, and increased throughput for AI workloads.

The optimization process included enhancing model precision and leveraging Intel’s powerful CPUs to improve efficiency and versatility across various deployment scenarios. The solution has been optimized on 4th Generation Intel® Xeon® Scalable Processors, known for their robust performance and reliability. These processors offer an extensive ecosystem of tools and libraries that streamline AI solution development and deployment, making them an ideal choice for the automates the task classification.

Collaboration with Intel

Our partnership with Intel played a crucial role in optimizing the performance of our LLM model as they provided us with a virtual machine (VM) on their servers to test the performance and throughput of our models.. By utilizing Intel’s cloud platform and integrating their OpenVINO toolkit, we achieved a significant improvement in model performance. The processing time was drastically reduced when using OpenVINO’s FP16 optimization, leading to faster and more accurate results. This collaboration not only enhanced the model’s efficiency but also demonstrated the potential of combining cutting-edge AI technologies with Intel’s powerful optimization tools.

Conclusion

The collaboration between Algo8.AI and Intel has successfully transformed our task management processes, showcasing the potential of AI and LLMs in automating and improving business operations. We look forward to exploring further opportunities with Intel to continue innovating and delivering advanced solutions to our clients.