Infrastructure and Algorithms for Data Collections
MACHINE
PSYCHOLOGY
DANIELHAEHN.COM
AI Core
We
Computers
GONZO
MONSTER
VAMPIRE
ZOMBIE
HYDRA
2x NVIDIA DGX A100
2x NVIDIA DGX A100
2 TB RAM
30 TB Storage
8x A100 GPUs
High-Performance Switch
NVIDIA DGX H200
1+ TB GPU Memory
Specialized Data Management and Targeted Software Development
to minimize manual data processing!
Virtual Assistants
Pattern Recognition
Recommendation Engines
Fraud Detection
Computer Vision
Large Language Models (LLMs)
Realtime Processing
Scientific Simulations
Intelligent Annotation Framework
Two Artificial Neural Networks..
..work together for Quality control
Discriminator finds error pattern of Classifier
Augmented Intelligence
Human + AI
8 Terabytes hosted in the
Applications and Examples
Example: Automatic Data Filtering
Can be tailored to any type of data!
Example: Local LLMs for Data Privacy
import LLM
llama3 = LLM("llama33")
falcon = LLM("falcon")
llama3.ask(YOUR_QUESTION)
falcon.finetune(YOUR_DATA)
LLM.compare(llama3, falcon)Example: Local LLMs for Data Privacy
MACHINE
PSYCHOLOGY
DANIELHAEHN.COM
Thank you!
