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You will get a fine-tuned GPT-3 model that provides valuable solution to your business.
Project details
Fine-tuning GPT-3 model allows users to provide better results, reduce latency and save cost over the time. GPT-3 is the next revolution. It can be used over wide range of applications.
Fine-Tuning comprises of following steps:
• Data Collection: gathering relevant data for our use case (e.g., web scraping)
• Data Preprocessing: cleaning data (removing encodings, emojis etc.)
• Data Preparing: creating prompt-completion pair in ".jsonl" format
• Finetune Create Request: uploading .jsonl data to OpenAI server and creating finetune request
• Create Completion: after successful fine-tuning, generate completion based on prompt given by user.
On successful fine-tune, you will get a customized model version which will be able to outperform base models for your specific use case. It will appear in your account, so you will be able to run your predictions with it.
Feel free to reach out if you have any questions, or if you would like to customize this project. I’m dedicated to understanding your business needs and project specifications.
Let's discuss your project in direct messages. :)
Fine-Tuning comprises of following steps:
• Data Collection: gathering relevant data for our use case (e.g., web scraping)
• Data Preprocessing: cleaning data (removing encodings, emojis etc.)
• Data Preparing: creating prompt-completion pair in ".jsonl" format
• Finetune Create Request: uploading .jsonl data to OpenAI server and creating finetune request
• Create Completion: after successful fine-tuning, generate completion based on prompt given by user.
On successful fine-tune, you will get a customized model version which will be able to outperform base models for your specific use case. It will appear in your account, so you will be able to run your predictions with it.
Feel free to reach out if you have any questions, or if you would like to customize this project. I’m dedicated to understanding your business needs and project specifications.
Let's discuss your project in direct messages. :)
What's included
| Service Tiers |
Starter
$49
|
Standard
$149
|
Advanced
$249
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$29
4 reviews
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MM
Mohammad M.
Aug 24, 2025
30 minute consultation
MH
Muhammad Sikandar H.
Jan 20, 2023
Speech to Lip-Sync Generation
Another Great Project.
Thanks.
Thanks.
MH
Muhammad Sikandar H.
Jan 19, 2023
AI DeepFake and Lip Sync
great work.
Thanks
Thanks
MH
Muhammad Sikandar H.
Jan 18, 2023
Face Swap using deep fake or AI
Vivek is a very hard working and smart working guy, The job he did for me in a very quick time was really good.He keeps his word and it was a pleasure working with such nice guy.
Really appreciate his work ethics.
Will have more orders for him shortly.
Thanks & Keep it up.
Really appreciate his work ethics.
Will have more orders for him shortly.
Thanks & Keep it up.
About Vivek
AI Engineer | Agentic AI | LLMs & RAG | AI Automation & SaaS
Calgary, Canada - 2:29 am local time
With 5+ years of freelance experience, I specialize in building end-to-end AI applications: from intelligent chatbots and RAG pipelines to agentic AI workflows and full SaaS backends. I handle the full stack: AI architecture, backend development, and deployment.
⚡ What I Build:
• 🤖 AI Chatbots & Conversational Agents: custom LLM-powered chatbots trained on your data, integrated into websites, apps, and workflows
• 🔍 RAG & Document Intelligence: retrieval-augmented generation systems with hybrid search, knowledge graphs, and cited, grounded answers
• 🧠 Agentic AI Pipelines: multi-step reasoning agents with tool use, memory, self-correction, and human-in-the-loop escalation
• ⚙️ AI Automation: automate manual workflows with LLMs, document processing, data extraction, and intelligent decision-making
• 📊 LLM Integration & Fine-tuning: OpenAI, Claude, LLaMA, Mistral; prompt engineering, fine-tuning, and evaluation
• 🏗️ AI-Powered SaaS Backends: FastAPI, background job workers, auth, REST APIs, and cloud deployment: production-ready from day one
• 💬 NLP Systems: semantic search, entity extraction, classification, summarization, and Q&A
🛠️ Tech & Tools:
AI/LLM: OpenAI GPT-4o · Claude · LLaMA · Mistral · vLLM · LangChain · Hugging Face
Retrieval: ChromaDB · Pinecone · Neo4j · FAISS · BGE Embeddings · CrossEncoder Reranking
Backend: Python · FastAPI · Docker · PostgreSQL · SQLite · Redis
Cloud & MLOps: AWS · GCP · Docker Compose · CI/CD
Other: Computer Vision · Audio/Speech AI · Whisper · PyTorch
💡 Why Work With Me:
✅ Production-grade, not prototype: I build systems that handle real data, real load, and real edge cases
✅ Full-stack ownership: from LLM prompt to deployed API, I manage the entire lifecycle
✅ Clear communication: regular updates, plain-language explanations, no surprises
✅ Fast delivery: I keep scope tight and ship iteratively
📩 Let's build your AI system. Message me and we'll scope it out together. 🚀
Steps for completing your project
After purchasing the project, send requirements so Vivek can start the project.
Delivery time starts when Vivek receives requirements from you.
Vivek works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preparation (if applicable)
Create prompt-completion pair in ".jsonl" format so It is ready for fine-tune process
Create Fine-Tune
Upload the data to OpenAI servers using API and place fine-tune request. We will get fine-tune id which we can use to track fine-tune progress.