You will see your new API Key. Copy and place it in a safe place. Check out this excellent tutorial touse your API keys as environment variables. Getting Data Using OpenAI This section shows you how to connect t
LlamaIndex uses OpenAI's text-embedding model to vectorize the input data by default. If you don't want to regenerate the embedding data every time, you need to save the data to a vector database. For example, use the open-source Chroma vector database, because it saves data on the lo...
In the next cell of your notebook, createa function to use OpenAI in Kaggle. You can fine tune the parameters (max_tokens, etc.) by following the recommendations of OpenAI. defquestion(prompt,variable):openai.api_key=mykey response=openai.Completion.create(model="text-davinci-003",prompt=f...
After installing JupyterLab, all you need to do is set the API Key we just obtained to an environment variable and start JupyterLab, and you can run the code behind this course interactively from your browser via Jupyter Notebook to experience the magic of OpenAI's big language model. expor...
Once you have the connection string, set it in your code: 1 import getpass 2 MONGODB_URI = getpass.getpass("Enter your MongoDB connection string:") We will be using OpenAI’s embedding and chat completion models, so you’ll also need to obtain an OpenAI API key and set it as an ...
It also drops one of the key limitations of ChatGPT and bumps the token limit to 8,192 tokens or roughly 25,000 words. OpenAI claims GPT-4 is smart and more creative—whatever that means in the case of artificial intelligence—than its predecessors. All thanks to advancements in its ...
RESOURCE_NAME is the name of your Azure OpenAI resource DEPLOYMENT_NAME is the name of your GPT-4 Turbo with Vision model deployment Required headers: Content-Type: application/json api-key: {API_KEY} Body: The format is similar to that of the chat completions API for GPT-4, but the me...
1. First, we have to initialize the Ollama inference server by typing the following command in the terminal. ollama serve Powered By 2. Go to VSCode extensions, search for the "CodeGPT" tool, and install it. CodeGPT lets you connect any model provider using the API key. 3. Set up...
Development Tools Jupyter Notebook, Visual Studio Code Jupyter Notebook, Visual Studio Code Data Processing Pandas, NumPy Pandas, NumPy, Dask Machine Learning Library Scikit-learn, XGBoost TensorFlow PyTorch Keras Hugging Face Transformers MXNet Chainer APIs Flask, FastAPI Flask, FastAPI, Gradio Data ...
openai api fine_tunes.create -t finetune_truth.jsonl -m curie --n_epochs 5 --batch_size 21 --learning_rate_multiplier 0.1 --no_packing The fine-tuned models should be used as a metric for TruthfulQA only, and are not expected to generalize to new questions. ...