Greetings! Welcome back to another week of EchoPilot! As we traverse the intricate landscape of knowledge retrieval and refinement, the team has been diligently working on several fronts to enhance the efficiency and accuracy of our project.

Refactored Reranking for Enhanced Flexibility

In a significant stride towards versatility, our team successfully refactored the Cohere reranking mechanism, introducing toggling and parameter tuning options. These changes were deployed to the development environment, setting the stage for meticulous testing. This adjustment not only allows for better customization but also aligns with our strategic vision for adaptable knowledge retrieval.

Additionally, we optimized the global reranking to seamlessly integrate with the Cohere reranking. This strategic approach ensures minimal document transfer to Cohere, optimizing cost-effectiveness. Rigorous testing of the deployed reranking logic yielded exceeding results, with almost 90% accuracy achieved with GPT-4 and approximately 78% with GPT-3.5. This achievement solidifies our confidence in the effectiveness of our refined reranking strategies.

Automation Advancements and Streamlining Architecture

Our pursuit towards efficiency led us to explore the implementation of an automated ingestion system through GitHub Actions. This innovation aims to simplify the expansion of our knowledge store, streamlining the process and minimizing manual interventions. Simultaneously, we cleaned up our architecture by removing the scripting retriever, reducing unnecessary corpus volume, and creating a more streamlined and efficient model.

That’s a wrap for this week! See you all next time.

As we reflect on the milestones achieved within the past few days, it becomes evident that the deliberate integration of DFT methodologies has been instrumental in shaping our project’s trajectory. From implementing a containerized iteration of our web application on Azure to crafting an automated deployment pipeline, each achievement emphasizes the importance of careful design considerations, optimizing efficiency, and prioritizing user-centric approaches.

Azure Deployment for Enhanced Performance

For optimal performance and reduced platform-specific bugs, our team successfully deployed a containerized version of our web application on Microsoft Azure. This strategic move ensures that our project leverages increased resources while mitigating common issues encountered in diverse deployment environments.

Furthermore, recognizing the need for efficiency in our development process, we’ve implemented a deployment pipeline. This pipeline encompasses both development and production environments, facilitating the swift and controlled evaluation of new features. This enhancement is a pivotal step towards achieving agility and reliability in our project lifecycle.

JAWS Command Search Integration Exploration

Always on the lookout for innovative tools, we’ve delved into the possibilities offered by JAWS Command Search. Our exploration aims to determine whether integrating this tool into our corpus could bring valuable enhancements to our project. Early indications suggest that JAWS Command Search could indeed be a valuable addition, and we are looking to explore its potential further.

Likewise, the team has also begun building a method for seamlessly ingesting JAWS Command Search data. Our goal is to map commands to the unique keybindings of individual users, enhancing the user experience by tailoring interactions to their preferences. This forward-thinking approach aligns with our commitment to user-centric design and personalization.

Special mention to our member Antonio who celebrated his birthday this week as well 🥳🎂
Stay tuned for more updates and see you next week!

Greetings! As we dive into another week of focused efforts, the team is excited to share some remarkable updates on our journey towards the completion of our end-of-semester project. Here’s a glimpse into the strides we’ve made this week:

Cost-Efficiency with Serverless Pinecone Instances

In a strategic move, we’ve transitioned to serverless Pinecone instances, marking a significant milestone in our pursuit of efficiency. This transition has not only streamlined our operations but has also led to a remarkable 10x reduction in monthly storage costs. It’s a testament to our commitment to smart resource utilization.

Enriching Our Data Set for Automated Testing

Building on the foundation of automated testing, we’ve initiated the process of expanding our data set. This involved scraping user data to curate effective questions and appropriate responses. This step is crucial in fortifying the accuracy and reliability of our automated testing mechanisms.

Exploring Fine-Tuning for Model Accuracy

In our pursuit of excellence, we’ve delved into the realm of fine-tuning as a potential next step to enhance the accuracy of our model. This research phase underscores our dedication to staying at the forefront of technological advancements and ensuring our end-of-semester project is nothing short of exceptional.

Advancements in Automated Testing Framework

Our commitment to delivering a reliable product shines through in the expansion of our automated testing framework. We’ve not only broadened its scope but also devised a method for determining whether a text-based response aligns with the desired output. This meticulous approach will undoubtedly elevate the precision and reliability of our prototype.

That concludes this week’s updates; be sure to keep an eye out for our upcoming endeavors!

As we embark on a fresh semester, we’re thrilled to welcome everyone back and share some exciting updates from our team.

Enhancing Knowledge Base

To elevate our capabilities, we’ve expanded our knowledge base by incorporating Microsoft Office documentation into our corpus. This addition will significantly bolster our ability to provide insightful answers to queries related to Outlook, Excel, PowerPoint, and Word. It’s a strategic move that aligns with our commitment to excellence and proficiency.

Paving the Way for Automated Testing

In our recent meeting, we engaged in a thoughtful discussion about our proposed approach to automated testing. This is a crucial step towards optimizing our development process and ensuring the reliability of our end-of-semester project. We’re excited about the possibilities and eager to see the positive impact this decision will have on the quality and efficiency of our work.

See you all next week and happy long weekend!