You will get an AI chatbot fine-tuned on your private data using a local open source LLM


Project details
Arete will deliver a custom AI chatbot solution by fine-tuning a locally hosted large language model (LLM) on the client’s private data. The project includes data preprocessing, model training, delivery of a fine-tuned model as a LoRa adapter or GGUF file, and (optional) deployment of the chatbot in a secure, containerized environment (e.g., Docker or Kubernetes), where the chatbot will be accessible via a web-based chat interface and API, with behavior and tone tailored to the client’s brand. The solution ensures full data privacy, regulatory compliance, and domain-specific performance.
We highly recommend this solution to significantly enhance company workflow, improve efficiency, and streamline access to critical information through intelligent, secure automation. This solution can serve as a powerful customer support chatbot, providing instant, accurate responses that boost customer satisfaction and drive sales by reducing response times and improving engagement. Additionally, it can be used as a training tool for new hires and interns, offering quick access to company knowledge, onboarding materials, and process guidance, catching them up to speed faster.
We highly recommend this solution to significantly enhance company workflow, improve efficiency, and streamline access to critical information through intelligent, secure automation. This solution can serve as a powerful customer support chatbot, providing instant, accurate responses that boost customer satisfaction and drive sales by reducing response times and improving engagement. Additionally, it can be used as a training tool for new hires and interns, offering quick access to company knowledge, onboarding materials, and process guidance, catching them up to speed faster.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Enhanced Classification, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language Understanding, Synthetic Data Generation, Text RecognitionAI Development Language
PythonAI Tools
Hugging Face, PyTorch, TensorFlowAI Models
ChatGPT, GPT-3, GPT-4, GPT-Neo, LaMDA, LLaMAWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 days |
Number of Revisions | 2 | 2 | 2 |
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.
Model Integration & Deployment
(+ 7 Days)
+$200
Custom Format
+$50Frequently asked questions
About Mohamed
Tech Solutions | Fine-tuning custom local LLM using private data
Enschede, Netherlands - 9:23 pm local time
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Data pre-processing
Client's data will be extracted, manually cleaned, and processed into the Q&A format required for fine-tuning models.
Initial model fine-tuning
The base model will go through an initial fine-tuning phase.