LLM Consulting Services
Harness the Power of Large Language Models for Internal Use
Why Choose Our LLM Consulting Services?
ATIS GROUP
Applications of Local LLMs
Why Partner with ATIS Group?
Domain Expertise
In-depth knowledge of NLP and language model architectures.
Customizable Solutions
Tailored models for various industry applications.
Data Privacy Focus
Ensure compliance with GDPR, HIPAA, and other regulations.
Comprehensive Support
From initial setup to long-term maintenance.
Continuous Innovation
We stay updated with the latest advancements in the field.
ATIS GROUP
LLM Deployment Scenarios
ATIS GROUP
Our LLM Implementation Process
Needs Assessment & Data Analysis
Understand the business requirements and intended applications.
Analyze the data sources for model training and inference.
Model Selection & Optimization
Identify the best LLM architecture (e.g., GPT, LLaMA, Falcon).
Fine-tune models with domain-specific data for improved relevance.
Infrastructure Setup & Model Deployment
Set up local infrastructure with GPUs or TPUs for efficient inference.
Deploy models using Docker containers and Kubernetes for scalability.
Integration with Business Applications
Develop APIs for interaction with CRM, ERP, and other enterprise tools.
Configure models to handle real-time queries and batch processing.
Monitoring, Maintenance & Optimization
Implement monitoring dashboards for performance tracking.
Update models regularly to adapt to evolving data patterns.
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Our Technology Stack
Programming Languages:
Python, Go, Rust
Frameworks & Libraries
Hugging Face Transformers, LangChain, Haystack
Model Serving:
NVIDIA Triton Inference Server, TensorRT, ONNX Runtime
Deployment Tools:
Docker, Kubernetes, Terraform
Hardware Acceleration:
NVIDIA CUDA, Tensor Cores, AMD ROCm
Maximize Your Business Potential with LLMs
Leverage the capabilities of large language models with ATIS Group. Contact us today to schedule a consultation.
Book a Consultation Now
Frequently Asked Questions
Some frequently asked questions about the service that you may have questions about
Why should we use local LLMs instead of cloud-based services?
Local LLMs provide better data control, security, and lower latency for internal applications.
What hardware is required for running LLMs locally?
We help you select and set up the appropriate hardware, such as NVIDIA GPUs or AMD accelerators.
How long does the implementation process take?
Timelines vary, but initial deployments typically take 6–10 weeks.
Can you fine-tune models on our internal data?
Yes, we offer services to fine-tune models using your proprietary datasets.
How do you ensure model performance over time?
We implement monitoring tools and provide ongoing maintenance to adapt models to new data.
Discover the Potential of LLMs with ATIS Group!
Let us help you unlock the transformative power of large language models for your internal processes.