Zero to Hero with GPT-3 & Python : Building Cutting-Edge AI

Integrate gpt-3 with a virtual assistant using the OpenAI API. Sign up for OpenAI, explore features like GPT, Codex, and DALL-E, and experiment with code generation and language tasks.

Learn to access the OpenAI GPT-3 API with Python, generate API keys, install the Python package, and perform text and code completion tasks.

Learn to build a GPT-3 powered chat application with OpenAI API, exploring models like DaVinci 003 and Codex, and implementing a Python function to fetch and handle outputs.

Learn to build a GPT-3 powered chat application in Python by capturing user input in a loop, calling the API with prompts, and displaying real-time responses.

Create a web-based chat interface for a GPT-3 powered assistant using the Gradio library in Python, capturing user input, displaying responses, and preserving chat context.

Transform GPT-3 outputs into speech using Python and pyttsx3. Create a text-to-speech pipeline, install pyttsx3, initialize an engine, define a speak function, and integrate with a chat application.

Build a voice agi assistant by enabling speech recognition for microphone input, converting speech to text with google api, and turning text back to speech using gpt-3 in python.

Fine tune your own model to customize it for your application, train on more examples, and achieve higher quality results with token savings and lower latency.

Explore GPT-3 API pricing across models from Ada to DaVinci, with per-thousand-token costs, input and output tokens, context options, and options for embeddings, image and audio models, and fine tuning.

Fine-tune a GPT-3 model with OpenAI and Python by preparing JSON prompt and completion data, uploading training and validation files, and initiating the fine-tune process.

Access and test your fine-tuned GPT-3 model in OpenAI playground by selecting trained model, submitting prompts, adjusting response length, and noting its use of GPT-3 API for unseen questions.