You will get AI solution to search within documents and retrieve information using LLM


Project details
I have extensive experience in developing models related to large language models (LLM), with a focus on Retriever-Augmented Generation (RAG). My approach emphasizes high-quality code, robust version control, and comprehensive documentation, ensuring maintainability and ease of use. The development process is tailored to the chosen plan—Starter for a basic demo, Standard for a functional PoC with limited scope, and Advanced for a fully integrated and scalable solution. For the Advanced plan, the system is designed to be user-friendly, with intuitive interfaces and thorough documentation, and is seamlessly integrated into the client's cloud or on-premises infrastructure. My commitment to excellence ensures that each project not only meets but exceeds client expectations, delivering practical and powerful RAG solutions that are easy to use and fully aligned with the client's needs.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Hugging Face, StreamlitAI Models
ChatGPT, LLaMAWhat's included
| Service Tiers |
Starter
$50
|
Standard
$500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 7 days | 30 days | 70 days |
Number of Revisions | 0 | 2 | 6 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | - | - | |
Detailed Code Comments | - | - | |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | ||
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$150Frequently asked questions
About Tamiris
Data Scientist | Data Analyst | Data Science
Itatiaia, Brazil - 11:43 pm local time
Working primarily with Python and SQL, my projects include the implementation of Google Enhanced Ecommerce, the development of an Operational Volume Predictor, clusterization models, and many deep exploratory data analyses.
I'm looking for challenges to apply machine learning and data analysis knowledge to generate real impact.
Steps for completing your project
After purchasing the project, send requirements so Tamiris can start the project.
Delivery time starts when Tamiris receives requirements from you.
Tamiris works on your project following the steps below.
Revisions may occur after the delivery date.
Meeting to Validate and Align Key Objectives
Conduct an initial meeting to discuss and validate the primary objectives, aligning expectations and setting the project’s direction to ensure successful development.
Data Collection and Clarification
Gather all necessary data from the client and address any questions or uncertainties, ensuring a clear understanding of the requirements for accurate and efficient project execution.