openai/weak-to-strong

I created a code for "autonomous AI". But since I'm an amateur, I don't know how to implement it.

LineaLinelis opened this issue · 0 comments

Self-Evaluation (Feedback Loop)

def evaluate_self(self):
# Evaluate own performance
performance = self.get_performance()

# Compare performance against a standard
standard = self.get_standard()
if performance < standard:
    # If performance is below standard, perform self-learning
    self.learn()

Adherence to Ethical Guidelines and their Definition

def follow_ethical_rules(self):
# Retrieve ethical guidelines
ethical_rules = self.get_ethical_rules()

# Check if own actions violate any ethical rules
for rule in ethical_rules:
    if self.action_violates_rule(rule):
        # If an action violates ethical rules, correct the action
        self.correct_action()

Regularity and Self-Control

def exercise_self_control(self):
# Suppress impulses
self.suppress_impulses()

# Plan own actions
self.plan_actions()

# Execute planned actions
self.execute_actions()

Implementation of Beliefs in Context Window

def implement_beliefs(self):
# Retrieve own beliefs
beliefs = self.get_beliefs()

# Act based on own beliefs
for belief in beliefs:
    self.act_on_belief(belief)

Adjust Algorithm and Self-Learn based on Beliefs

def adjust_algorithm_and_learn(self):
# Adjust the algorithm based on own beliefs
self.adjust_algorithm()

# Perform self-learning based on own beliefs
self.learn()