package.json

{
  "name": "bardie-ts",
  "version": "1.3.4",
  "description": "A powerful AI package (built using typescript) for interacting with the Google Bard API, without needing to set your own cookie!",
  "main": "./dist/bardie-ts.js",
  "module": "./dist/bardie-ts.mjs",
  "types": "./dist/bardie-ts.d.ts",
  "scripts": {
    "question": "ts-node ./src/examples/question.ts",
    "questionWithImage": "ts-node ./src/examples/questionWithImage.ts",
    "build": "tsup --d dist"
  },
  "author": {
    "name": "Zoheb-Malik",
    "url": "https://github.com/Zoheb-Malik"
  },
  "license": "GPL-3.0",
  "keywords": [
    "AI",
    "TPU",
    "GPT",
    "LLM",
    "BERT",
    "CUDA",
    "Bard",
    "AIaaS",
    "Keras",
    "OpenAI",
    "AI Art",
    "NVIDIA",
    "PyTorch",
    "Mistral",
    "AI News",
    "ChatGPT",
    "Edge AI",
    "Dataset",
    "Robotics",
    "Training",
    "Cloud AI",
    "Ontology",
    "AI Music",
    "Inference",
    "AI Gaming",
    "AI Trends",
    "AI Safety",
    "AI Policy",
    "AI Writing",
    "Regression",
    "Perplexity",
    "AI Courses",
    "Quantum AI",
    "Clustering",
    "Embeddings",
    "Bias in AI",
    "TensorFlow",
    "IoT and AI",
    "Annotation",
    "Google Bard",
    "Overfitting",
    "Simulations",
    "AI Journals",
    "AI Startups",
    "AI Hardware",
    "Fine-tuning",
    "HuggingFace",
    "AI Research",
    "Data Mining",
    "PerplexityAI",
    "Semantic Web",
    "Scikit-learn",
    "Ethics in AI",
    "Segmentation",
    "Underfitting",
    "AI Workshops",
    "AI Education",
    "AI in Retail",
    "Perplexity AI",
    "Meta-learning",
    "Deep Learning",
    "AI Investment",
    "Multimodal AI",
    "AI Challenges",
    "Crowdsourcing",
    "AI Regulation",
    "AI in Finance",
    "Synthetic Data",
    "AI Conferences",
    "Fairness in AI",
    "Explainable AI",
    "Adversarial AI",
    "Speech-to-Text",
    "Edge Computing",
    "Text-to-Speech",
    "Classification",
    "Language Model",
    "Neural Networks",
    "AI Accelerators",
    "Computer Vision",
    "AI in Education",
    "AI Applications",
    "AI Competitions",
    "Knowledge Graphs",
    "AI in Healthcare",
    "Machine Learning",
    "Object Detection",
    "Cross-Validation",
    "Human-in-the-loop",
    "Blockchain and AI",
    "Sequence Modeling",
    "Transfer Learning",
    "Anomaly Detection",
    "Image Recognition",
    "Federated Learning",
    "Transformer Models",
    "Sentiment Analysis",
    "Facial Recognition",
    "Feature Extraction",
    "Virtual Assistants",
    "Question Answering",
    "Speech Recognition",
    "AI in Manufacturing",
    "Attention Mechanism",
    "Autonomous Vehicles",
    "Recommender Systems",
    "Feature Engineering",
    "Supervised Learning",
    "AI Ethics Guidelines",
    "Predictive Analytics",
    "Hyperparameter Tuning",
    "Unsupervised Learning",
    "Conversational Agents",
    "Reinforcement Learning",
    "Dimensionality Reduction",
    "Semi-Supervised Learning",
    "Natural Language Processing",
    "Natural Language Understanding",
    "Generative Adversarial Networks"
  ],
  "repository": {
    "type": "git",
    "url": "git+https://github.com/Zoheb-Malik/BardieTS.git"
  },
  "bugs": {
    "url": "https://github.com/Zoheb-Malik/BardieTS/issues/new"
  },
  "homepage": "https://github.com/Zoheb-Malik/BardieTS",
  "dependencies": {
    "axios": "^1.3.4"
  },
  "devDependencies": {
    "ts-node": "^10.9.2",
    "tsup": "^8.0.1",
    "typescript": "^5.3.3"
  }
}