SCROLL_TO_INIT
SYSTEM: ONLINE
INFERENCE: 0.01s
ragu_config.json
MODEL_CARD.md
ATTENTION MAP (CORE COMPETENCIES)
HOVER TO INSPECT WEIGHTS
[ WAITING FOR INPUT ]
TRAINING_PIPELINE & DATASETS
- PRE_TRAINING: Computer Science with Mathematical Foundations
- RLHF (Human Feedback): Operations Research
- FINE_TUNING: Research in Optimization & Intelligent Systems
training_log.py — Ragu@CEG:~/education
ragu@system:~$ python train_model.py --optimize=business_value
MODEL_ACCURACY
Visualizing Knowledge Acquisition over Epochs
[ HOVER_TO_INSPECT_DATA ]
EPOCH X
[GAINED]:
[LOST]:
OPTIMIZER
ADAM_W (Weighted Decoupling)
CURRENT STATE
RESEARCHER_MODE_ACTIVATED
TEAMS_WORKED_WITH_
CLICK ANY TEAM TO TRACE ITS NEURAL PATHWAY
ENVIRONMENT_VARIABLES
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# Import Neural Networking Protocols
import ragu as rg
import sys
class ConnectionRequest:
def __init__(self):
self.sender = "None"
self.email = "None"
self.intent = rg.Intent.COLLABORATION
def send_payload(self):
# Initializing secure handshake...
message = """
(Waiting for input...)
"""
return rg.transmit(self.sender, message)
# Execute Protocol
if __name__ == "__main__":
request = ConnectionRequest()
request.send_payload()
TERMINAL
OUTPUT
PROBLEMS
user@ragu-portfolio:~/scripts$ _