unclecode

Crawl4AI Cloud - QA TestFlight Program

Hello team! I've set up our internal QA testing program. Please read this carefully and follow the instructions.

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Step 1: Get Access

1. Accept GitHub invitation (check your email)
2. Visit TestFlight repo: https://github.com/unclecode/crawl4ai-cloud-testflight

unclecode

source	title	type	organization	cleaned_by
https://huggingfacetb-smol-training-playbook.hf.space/	The Smol Training Playbook: The Secrets to Building World-Class LLMs	Technical Blog Post	Hugging Face	Crawl4AI

The Smol Training Playbook:

unclecode

import json
from qwen_agent.llm import get_chat_model

# I experimented with the 500 million parameters. It works nicely, but sometimes it doesn't detect all the parameters. For example, in the getCurrentWeather function, it may not detect the value for the second argument, which is the format of the temperature. So it's good practice to set default values for them. However, for very critical parameters, it understands them well.

llm = get_chat_model({
        # 'model': 'qwen2:0.5b', 
        'model': 'qwen2:1.5b',
        'model_server': 'http://localhost:11434/v1', 
        'api_key': 'EMPTY',

unclecode

body {
  color:green;
}

unclecode

import math

def findAnomalyPosition(n):
    bit_length = int(math.ceil(math.log(n, 2)))
    #1010 & 0011 = 0010 It means and of any number to 33 << i is returning two consequitive bits at position i and i + 1
        #XOR of n eith 2**i is toggling the bit at position i
        #so XOR n with 3 >> i is toggling bits at positions i and i + 1 and in our case 
        #if bits in position i and i + 1 is 2 or 10 we want to make 01 which is this toggling with number 3  
    return [i for i in range(but_length) if ((x >> i) & 3) == 2 if ((x >> i) & 3) == 2]
def generateNext(x):