You will get a custom fine-tuned LLM or NLP model for data extraction
Project details
If extracting specific data from 10,000 PDFs currently takes your team 3 weeks, a custom Fine-Tuned NLP model can do it in 3 minutes.
Standard LLMs like ChatGPT are great for general tasks, but they often fail, hallucinate, or miss edge cases when handling highly specific, niche data (like complex legal documents, medical records, or industrial invoices).
I am an AI Systems Engineer specializing in Custom Model Fine-Tuning. I take foundational Open-Source models (like BERT, LLaMA, or Mistral) and train them exclusively on YOUR data so they achieve near-perfect accuracy on your exact extraction task.
Standard LLMs like ChatGPT are great for general tasks, but they often fail, hallucinate, or miss edge cases when handling highly specific, niche data (like complex legal documents, medical records, or industrial invoices).
I am an AI Systems Engineer specializing in Custom Model Fine-Tuning. I take foundational Open-Source models (like BERT, LLaMA, or Mistral) and train them exclusively on YOUR data so they achieve near-perfect accuracy on your exact extraction task.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Transformer ModelAI Applications
Image Recognition, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, PyTorch, TensorFlowAI Models
BERT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$5,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 14 days | 30 days | 42 days |
Number of Revisions | 1 | 2 | 1 |
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 |
About Jonathan Elias
Data Entry & Transcription Services | Large Language Model
Morelia, Mexico - 10:22 am local time
> Knows Svelte, Svelte-kit + Tailwind.
> Auth, SQL, NoSQL, SEO, DigitalMarketing
Full project management from start to finish
Regular communication is important to me, so let’s keep in touch.
Steps for completing your project
After purchasing the project, send requirements so Jonathan Elias can start the project.
Delivery time starts when Jonathan Elias receives requirements from you.
Jonathan Elias works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1
Data Auditing. We review your existing dataset to ensure it has enough quality and volume for successful fine-tuning.
Step 2
Model Selection & Preprocessing. I select the best base model (BERT for extraction, LLaMA for generation) and tokenize your data.