sergeyk

model: claude-opus-4-20250514
messages:
- role: user
  content:
  - type: text
    text: |
      <system-reminder>
      As you answer the user's questions, you can use the following context:
      # important-instruction-reminders
      Do what has been asked; nothing more, nothing less.

codelion

import numpy as np
from sentence_transformers import SentenceTransformer
import anthropic
from typing import List, Dict, Optional
import logging
from dataclasses import dataclass
import uuid

logger = logging.getLogger(__name__)

willccbb

# train_grpo.py
#
# See https://github.com/willccbb/verifiers for ongoing developments
#
"""
citation:

@misc{brown2025grpodemo,
  title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models},
  author={Brown, William},

vgel

import argparse
import random
import sys

from transformers import AutoModelForCausalLM, AutoTokenizer, DynamicCache
import torch

parser = argparse.ArgumentParser()
parser.add_argument("question", type=str)
parser.add_argument(

crackwitz

#!/usr/bin/env python3

'''
always getting the most recent frame of a camera
================================================

Usage:
------
    freshest_camera_frame.py

beargiles

import java.io.IOException;
import java.io.InvalidObjectException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.io.Serializable;
import java.util.Arrays;

import javax.crypto.Cipher;
import javax.crypto.Mac;
import javax.crypto.spec.IvParameterSpec;