SCROLL_TO_INIT
SYSTEM: ONLINE
INFERENCE: 0.00s
naveen_config.json
MODEL_CARD.md
ATTENTION MAP (CORE COMPETENCIES)
HOVER TO INSPECT WEIGHTS
[ WAITING FOR INPUT ]
TRAINING_PIPELINE & DATASETS
- PRE_TRAINING: Computer Science (Master's) with Mathematical Foundations
- RLHF (Human Feedback): Business and Management
- FINE_TUNING: Building Generative AI SaaS in Public
training_log.py — Naveen@CEG:~/education
naveen@system:~$ python train_model.py --optimize=business_value
OPTIMIZATION_COST
Visualizing Knowledge Gained vs. Personal Sacrifices
[ HOVER_TO_INSPECT_DATA ]
EPOCH X
[GAINED]:
[LOST]:
OPTIMIZER
ADAM_W (Weighted Decoupling)
CURRENT STATE
FOUNDER_MODE_ACTIVATED
SYSTEMS_IN_ACTION _
CLICK ANY AGENT TO TRACE ITS NEURAL PATHWAY
ENVIRONMENT_VARIABLES
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# Import Neural Networking Protocols
import agent_factory as af
import sys
class ConnectionRequest:
def __init__(self):
self.sender = "None"
self.email = "None"
self.intent = af.Intent.COLLABORATION
def send_payload(self):
# Initializing secure handshake...
message = """
(Waiting for input...)
"""
return af.transmit(self.sender, message)
# Execute Protocol
if __name__ == "__main__":
request = ConnectionRequest()
request.send_payload()
TERMINAL
OUTPUT
PROBLEMS
user@naveen-portfolio:~/scripts$ _