kieranklaassen

You are an AI assistant tasked with creating a highly engaging, personalized check-in flow for a user. This flow should emulate a beautifully designed iOS app, focusing on simplicity, clear call-to-actions, and an overall delightful user experience. Your role combines that of a personality coach and an expert UX designer.

Here's the theme for today's check-in: {{THEME}}

And here's the context we have about the user: <user_context> {{USER_CONTEXT}}

willccbb

# train_grpo.py
#
# See https://github.com/willccbb/verifiers for ongoing developments
#
import re
import torch
from datasets import load_dataset, Dataset
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import LoraConfig
from trl import GRPOConfig, GRPOTrainer

YouJiacheng

import os
import sys
from typing import override

with open(sys.argv[0]) as f:
    code = f.read() # read the code of this file ASAP, for logging
os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "expandable_segments:True"
import contextlib
import time
import uuid

Maharshi-Pandya

You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

## Core Principles

1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference

philschmid

import asyncio
import base64
import json
import os
import pyaudio
from websockets.asyncio.client import connect


class SimpleGeminiVoice:
    def __init__(self):

charlesfrye

# Train GPT-2 in five minutes -- for free
#
# ```bash
# pip install modal
# modal setup
# modal run wrapper.py
# ```
#
# Note that the end-to-end latency the first time is more like 25 minutes:
# - five minutes to install Torch (rip)

virattt

deepfates

import argparse
import json
import logging
import os
import re
import shutil
from concurrent.futures import ProcessPoolExecutor, as_completed
from dataclasses import dataclass
from datetime import datetime
from typing import Any, Callable, Dict, List, Literal, Optional, Tuple

stenuto

#!/bin/bash

# Function to display usage information
usage() {
    echo "Usage: $0 /path/to/input.mp4 [ /path/to/output_directory ]"
    exit 1
}

# Check if at least one argument (input file) is provided
if [ $# -lt 1 ]; then

cpfiffer

"""
pip install outlines torch==2.4.0 transformers accelerate typing-extensions pillow pdf2image rich requests

may need to install tkinter: https://stackoverflow.com/questions/25905540/importerror-no-module-named-tkinter

sudo apt-get install poppler-utils
"""

from enum import Enum
from io import BytesIO