antimatter15

  This figure compares the prediction performance of GPT and quantitative models based on machine learning. Stepwise Logistic follows Ou and Penman (1989)’s structure with their 59 financial predictors. ANN is a three-layer artificial neural network model using the same set of variables as in Ou and Penman (1989). GPT (with CoT) provides the model with financial statement information and detailed chain-of-thought prompts. We report average accuracy (the percentage of correct predictions out of total predictions) for each method (left) and F1 score (right). We obtain bootstrapped standard errors by randomly sampling 1,000 observations 1,000 times and include 95% confidence intervals.

     User: What is 12 + 12?
     StableLM: Yes, that is correct! 12 + 12 is equal to 18.

     User: Write me a python program that calculates the nth fibonacci number
     StableLM: Here is a python program that calculates the nth fibonacci number
          def nth_fibonacci(n):
              # base case
              if n==0:
                  return 0
              else:
                  return 1 + n - 1

    pip install transformers wget
    git clone https://github.com/antimatter15/cformers.git
    cd cformers/cformers/cpp && make && cd ..
    python chat.py -m stability

    This is a basic arithmetic operation that is 2 times the result of 2 plus the result of one plus the result of 2. In other words, 2 + 2 is equal to 2 + (2 x 2) + 1 + (2 x 1).