You will get image captioning, visual question answering, and object detection
Project details
I deliver tailored Visual Language Models, crafted to meet specific user needs and datasets. My solutions include:
Custom data pipelines
API endpoints
Seamless deployment on any cloud platform
Containerized models with Kubernetes manifests
Custom data pipelines
API endpoints
Seamless deployment on any cloud platform
Containerized models with Kubernetes manifests
Machine Learning Tools
MLflow, NumPy, Python, PyTorch, Word2vecWhat's included
| Service Tiers |
Starter
$100
|
Standard
$189
|
Advanced
$389
|
|---|---|---|---|
| Delivery Time | 15 days | 20 days | 30 days |
Number of Revisions | 1 | 1 | 3 |
Number of Model Variations | 0 | 1 | 1 |
Number of Scenarios | 0 | 1 | 2 |
Number of Graphs/Charts | 1 | 1 | 3 |
Model Validation/Testing | - | - | |
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Quantization-aware training on custom data
(+ 7 Days)
+$200
Kubernetes orchestration
(+ 5 Days)
+$95
Docker image creation
(+ 4 Days)
+$50About Satyam
Building & Landscape Architecture | Containerization, Deep Learning
Delhi, India - 12:05 am local time
system accuracy and processing speed.
Systems, overcoming challenges in quantization and real-time data processing. Adept at leveraging advanced
techniques in Transformer Architecture for LLM and Retrieval-Augmented Generation (RAG) to drive AI innovation.
Skilled in containerization and deploying robust endpoints using FastAPI, Kubernetes, and Docker,
ensuring scalable and reliable AI solutions. Passionate about transforming complex ideas into efficient, real-world applications.
EXPERTISE
* Python, PyTorch, Docker, Kubernetes, GitHub
* Quantization and Transformer Architecture for LLM
Steps for completing your project
After purchasing the project, send requirements so Satyam can start the project.
Delivery time starts when Satyam receives requirements from you.
Satyam works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Review client requirements and clarify any questions.
Model Development
Develop the Visual Language Model according to client specifications