You will get your LLM (Llama2) ready to answer you any question
Project details
You will get a powerful and private Chat GPT. Running in your private server and ready to answer you any question. the LLM used is LLAMA2. It is compared with GPT3.5. Additionally including UI to text input and print the response.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Models
LLaMAWhat's included
| Service Tiers |
Starter
$150
|
Standard
$250
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
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.
Fast Delivery
+$20 - $100About Aliexer
AI Engineer | RAG Systems | AI Agents | Azure AI Certified
Barranquilla, Colombia - 7:14 pm local time
Maybe it is an AI Assistant for customers
Maybe it is a RAG chatbot connected to company documents
Maybe it is an AI Agent that automates workflows
Maybe it is an internal copilot powered by OpenAI or Llama models
At first, the idea sounds exciting
Then the real challenges appear:
Will the AI answer correctly?
Can it work with private company data?
Can it scale in production?
Can we deploy it fast without overcomplicating everything?
Can this become a real business solution instead of just a demo?
That is where I help
I build production-ready AI solutions using Python, LangChain, LangGraph, OpenAI, Azure AI, Hugging Face, and AWS.
I help startups and companies create:
✅ AI Assistants & AI Agents
✅ RAG Chatbots connected to real data
✅ LLM-powered applications
✅ FastAPI backend systems & APIs
✅ Azure AI & AWS cloud integrations
✅ Workflow automation with AI
✅ MVPs for AI products and startups
As a Microsoft Azure AI Engineer Associate Certified professional, I have experience designing and deploying scalable AI solutions for startups, consulting companies, and enterprise environments.
My goal is not only to build AI systems
My goal is to help you create AI products that are useful, scalable, and ready for real users.
If you want to build an AI solution that goes beyond the prototype stage, send me a message and let’s discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Aliexer can start the project.
Delivery time starts when Aliexer receives requirements from you.
Aliexer works on your project following the steps below.
Revisions may occur after the delivery date.
Install and setup Llama2 model on EC-2 instance.
Install packages and download the model to use. Maybe this step include configuration of AWS networking
Test Llama2 model
We need ensure that server running the Llama2 model