From 2a2ef07a3134207f7def687f38b22dcd720b34bd Mon Sep 17 00:00:00 2001 From: Vishalk4kumar <139688027+Vishalk4kumar@users.noreply.github.com> Date: Tue, 21 May 2024 20:25:46 +1000 Subject: [PATCH] Update DataBytesReport.md (#329) Contribution_Vishal_Kumar Signed-off-by: Vishalk4kumar <139688027+Vishalk4kumar@users.noreply.github.com> --- .../Group_Tasks_and_Handover_Documents/DataBytesReport.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/documentation/T1_2024/Group_Tasks_and_Handover_Documents/DataBytesReport.md b/documentation/T1_2024/Group_Tasks_and_Handover_Documents/DataBytesReport.md index 3b035839..239e8779 100644 --- a/documentation/T1_2024/Group_Tasks_and_Handover_Documents/DataBytesReport.md +++ b/documentation/T1_2024/Group_Tasks_and_Handover_Documents/DataBytesReport.md @@ -416,6 +416,6 @@ height="4.840277777777778in"} | Ata Colak |
  • Develop chatbot which uses Groq API as inference engine and LLAMA3-70b as large language model
  • Experiment running LLMs locally. Best performing model locally is "Phi3" using "Ollama".
  • Introduce logic to pass LLMs only relevant transaction info, reducing risk of hallucination tremendously.
  • Introduce capabilities to store different files correlating to different dates
  • Got PR merged for the final state of chatbot which extracts date information from user message, searches KnowledgeBase folder for relevant date, and answers user question related to their transactions.
    • | Axesh Patel |
  • Solved all the errors and fine-tuned the Llama.cpp model and successfully pushed the code on GitHub.
  • Created Dolfin comprehensive FAQ document containing 100 general questions and answers related to customer assistance for the Dolfin application.
  • Integrated the FAQ document as a knowledge base for the chatbot, utilizing a Retrieval-Augmented Generation (RAG) model for accurate responses.
  • Implemented a new version of the chatbot using Groq cloud's API to leverage Meta's latest LLAMA3 model.
  • Enhanced chatbot capabilities by utilizing the newest version of the LLM, improving performance and user interaction.
  • Created a detailed report comparing the LLAMA CPP model and the LLAMA Groq API model.
  • Added voice recognition and sentiment analysis features to both Llama.cpp and Groq API versions of chatbots.
  • Integrated both chatbot models with the front end, providing flexibility to switch between models by simply commenting/uncommenting code.
  • Documented the implementation and integration process for both chatbot models, detailing steps.
    • | Deepak Kumar Khatri|
  • Worked on Login Route to change it to Login Using Email Rather Than username
  • Updated Login User interface
  • Helped Aishwarya with Github commits and Data Quality Scripts
  • Helped Sahana Setting up the Code Enviroment, Gave her overview of the Code
  • Helped Sahana With Profile Route Updation and helped her to commit the Code on Github
  • helped Vishal with his Delete user Account task by providing code guidance
  • Helped Liny with setting up the code Enviroment and helping her to understand the Code.
  • Set up the New Dolfin on my local system
  • Currently Working on Writting Code Setup instruction
  • Attended HandOver Document Meeting to understand the process, will start work on it
    • -| Full name | Write contributions here !
  • ITEM 1
  • ITEM 2
  • ITEM 3
  • ITEM 4
  • ITEM 5
  • ITEM 6
    • | +| Vishal Kumar |
  • Implemented registration page functionality, ensuring responsiveness after addressing non-responsiveness issues.
  • Worked on the implementation of the "Delete an Account" feature, advancing both front-end and back-end tasks.
  • Collaborated with Junkai to enhance understanding of backend systems, databases, and routes for effective execution of the task.
  • Successfully completed the frontend and backend task for the "Delete an Account" functionality.
  • Encountered a testing issue due to the absence of data in the new database; identified the root cause and discussed it with team members for resolution.
  • Completed the data insertion process for the new database, enabling proper testing of the "Delete an Account" functionality.
  • Tested and ensured the functionality of the "Delete an Account" feature; committed and merged the code into the development branch after review.
  • Discussed and planned the next task with team members: adding an Acknowledgment Section to the About Us page.
  • Implemented the Acknowledgment Section in the About Us page, with the code committed and approved after review.
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