{
  "_hYN0gEi9BL24nptEtXWU": {
    "title": "Introduction",
    "description": "",
    "links": []
  },
  "GN6SnI7RXIeW8JeD-qORW": {
    "title": "What is an AI Engineer?",
    "description": "",
    "links": []
  },
  "jSZ1LhPdhlkW-9QJhIvFs": {
    "title": "AI Engineer vs ML Engineer",
    "description": "",
    "links": []
  },
  "wf2BSyUekr1S1q6l8kyq6": {
    "title": "LLMs",
    "description": "",
    "links": []
  },
  "KWjD4xEPhOOYS51dvRLd2": {
    "title": "Inference",
    "description": "",
    "links": []
  },
  "xostGgoaYkqMO28iN2gx8": {
    "title": "Training",
    "description": "",
    "links": []
  },
  "XyEp6jnBSpCxMGwALnYfT": {
    "title": "Embeddings",
    "description": "",
    "links": []
  },
  "LnQ2AatMWpExUHcZhDIPd": {
    "title": "Vector Databases",
    "description": "",
    "links": []
  },
  "9JwWIK0Z2MK8-6EQQJsCO": {
    "title": "RAG",
    "description": "",
    "links": []
  },
  "Dc15ayFlzqMF24RqIF_-X": {
    "title": "Prompt Engineering",
    "description": "",
    "links": []
  },
  "9XCxilAQ7FRet7lHQr1gE": {
    "title": "AI Agents",
    "description": "",
    "links": []
  },
  "5QdihE1lLpMc3DFrGy46M": {
    "title": "AI vs AGI",
    "description": "",
    "links": []
  },
  "qJVgKe9uBvXc-YPfvX_Y7": {
    "title": "Impact on Product Development",
    "description": "",
    "links": []
  },
  "K9EiuFgPBFgeRxY4wxAmb": {
    "title": "Roles and Responsiblities",
    "description": "",
    "links": []
  },
  "d7fzv_ft12EopsQdmEsel": {
    "title": "Pre-trained Models",
    "description": "Pre-trained models are Machine Learning (ML) models that have been previously trained on a large dataset to solve a specific task or set of tasks. These models learn patterns, features, and representations from the training data, which can then be fine-tuned or adapted for other related tasks. Pre-training provides a good starting point, reducing the amount of data and computation required to train a new model from scratch.\n\nVisit the following resources to learn more:",
    "links": [
      {
        "title": "Pre-trained models: Past, present and future",
        "url": "https://www.sciencedirect.com/science/article/pii/S2666651021000231",
        "type": "article"
      }
    ]
  },
  "1Ga6DbOPc6Crz7ilsZMYy": {
    "title": "Benefits of Pre-trained Models",
    "description": "",
    "links": []
  },
  "MXqbQGhNM3xpXlMC2ib_6": {
    "title": "Limitations and Considerations",
    "description": "",
    "links": []
  },
  "2WbVpRLqwi3Oeqk1JPui4": {
    "title": "Open AI Models",
    "description": "",
    "links": []
  },
  "vvpYkmycH0_W030E-L12f": {
    "title": "Capabilities / Context Length",
    "description": "",
    "links": []
  },
  "LbB2PeytxRSuU07Bk0KlJ": {
    "title": "Cut-off Dates / Knowledge",
    "description": "",
    "links": []
  },
  "hy6EyKiNxk1x84J63dhez": {
    "title": "Anthropic's Claude",
    "description": "",
    "links": []
  },
  "oe8E6ZIQWuYvHVbYJHUc1": {
    "title": "Google's Gemini",
    "description": "",
    "links": []
  },
  "3PQVZbcr4neNMRr6CuNzS": {
    "title": "Azure AI",
    "description": "",
    "links": []
  },
  "OkYO-aSPiuVYuLXHswBCn": {
    "title": "AWS Sagemaker",
    "description": "",
    "links": []
  },
  "8XjkRqHOdyH-DbXHYiBEt": {
    "title": "Hugging Face Models",
    "description": "",
    "links": []
  },
  "n-Ud2dXkqIzK37jlKItN4": {
    "title": "Mistral AI",
    "description": "",
    "links": []
  },
  "a7qsvoauFe5u953I699ps": {
    "title": "Cohere",
    "description": "",
    "links": []
  },
  "5ShWZl1QUqPwO-NRGN85V": {
    "title": "OpenAI Models",
    "description": "",
    "links": []
  },
  "zdeuA4GbdBl2DwKgiOA4G": {
    "title": "OpenAI API",
    "description": "",
    "links": []
  },
  "_bPTciEA1GT1JwfXim19z": {
    "title": "Chat Completions API",
    "description": "",
    "links": []
  },
  "9-5DYeOnKJq9XvEMWP45A": {
    "title": "Writing Prompts",
    "description": "",
    "links": []
  },
  "nyBgEHvUhwF-NANMwkRJW": {
    "title": "Open AI Playground",
    "description": "",
    "links": []
  },
  "15XOFdVp0IC-kLYPXUJWh": {
    "title": "Fine-tuning",
    "description": "",
    "links": []
  },
  "qzvp6YxWDiGakA2mtspfh": {
    "title": "Maximum Tokens",
    "description": "",
    "links": []
  },
  "FjV3oD7G2Ocq5HhUC17iH": {
    "title": "Token Counting",
    "description": "",
    "links": []
  },
  "DZPM9zjCbYYWBPLmQImxQ": {
    "title": "Pricing Considerations",
    "description": "",
    "links": []
  },
  "8ndKHDJgL_gYwaXC7XMer": {
    "title": "AI Safety and Ethics",
    "description": "",
    "links": []
  },
  "cUyLT6ctYQ1pgmodCKREq": {
    "title": "Prompt Injection Attacks",
    "description": "",
    "links": []
  },
  "lhIU0ulpvDAn1Xc3ooYz_": {
    "title": "Bias and Fareness",
    "description": "",
    "links": []
  },
  "sWBT-j2cRuFqRFYtV_5TK": {
    "title": "Security and Privacy Concerns",
    "description": "",
    "links": []
  },
  "Pt-AJmSJrOxKvolb5_HEv": {
    "title": "Conducting adversarial testing",
    "description": "",
    "links": []
  },
  "ljZLa3yjQpegiZWwtnn_q": {
    "title": "OpenAI Moderation API",
    "description": "",
    "links": []
  },
  "4Q5x2VCXedAWISBXUIyin": {
    "title": "Adding end-user IDs in prompts",
    "description": "",
    "links": []
  },
  "qmx6OHqx4_0JXVIv8dASp": {
    "title": "Robust prompt engineering",
    "description": "",
    "links": []
  },
  "t1SObMWkDZ1cKqNNlcd9L": {
    "title": "Know your Customers / Usecases",
    "description": "",
    "links": []
  },
  "ONLDyczNacGVZGojYyJrU": {
    "title": "Constraining outputs and inputs",
    "description": "",
    "links": []
  },
  "a_3SabylVqzzOyw3tZN5f": {
    "title": "OpenSource AI",
    "description": "",
    "links": []
  },
  "RBwGsq9DngUsl8PrrCbqx": {
    "title": "Open vs Closed Source Models",
    "description": "",
    "links": []
  },
  "97eu-XxYUH9pYbD_KjAtA": {
    "title": "Popular Open Source Models",
    "description": "",
    "links": []
  },
  "v99C5Bml2a6148LCJ9gy9": {
    "title": "Hugging Face",
    "description": "",
    "links": []
  },
  "YLOdOvLXa5Fa7_mmuvKEi": {
    "title": "Hugging Face Hub",
    "description": "",
    "links": []
  },
  "YKIPOiSj_FNtg0h8uaSMq": {
    "title": "Hugging Face Tasks",
    "description": "",
    "links": []
  },
  "3kRTzlLNBnXdTsAEXVu_M": {
    "title": "Inference SDK",
    "description": "",
    "links": []
  },
  "bGLrbpxKgENe2xS1eQtdh": {
    "title": "Transformers.js",
    "description": "",
    "links": []
  },
  "rTT2UnvqFO3GH6ThPLEjO": {
    "title": "Ollama",
    "description": "",
    "links": []
  },
  "ro3vY_sp6xMQ-hfzO-rc1": {
    "title": "Ollama Models",
    "description": "",
    "links": []
  },
  "TsG_I7FL-cOCSw8gvZH3r": {
    "title": "Ollama SDK",
    "description": "",
    "links": []
  },
  "--ig0Ume_BnXb9K2U7HJN": {
    "title": "What are Embeddings",
    "description": "",
    "links": []
  },
  "eMfcyBxnMY_l_5-8eg6sD": {
    "title": "Semantic Search",
    "description": "",
    "links": []
  },
  "HQe9GKy3p0kTUPxojIfSF": {
    "title": "Recommendation Systems",
    "description": "",
    "links": []
  },
  "AglWJ7gb9rTT2rMkstxtk": {
    "title": "Anomaly Detection",
    "description": "",
    "links": []
  },
  "06Xta-OqSci05nV2QMFdF": {
    "title": "Data Classification",
    "description": "",
    "links": []
  },
  "l6priWeJhbdUD5tJ7uHyG": {
    "title": "Open AI Embeddings API",
    "description": "",
    "links": []
  },
  "y0qD5Kb4Pf-ymIwW-tvhX": {
    "title": "Open AI Embedding Models",
    "description": "",
    "links": []
  },
  "4GArjDYipit4SLqKZAWDf": {
    "title": "Pricing Considerations",
    "description": "",
    "links": []
  },
  "apVYIV4EyejPft25oAvdI": {
    "title": "Open-Source Embeddings",
    "description": "",
    "links": []
  },
  "ZV_V6sqOnRodgaw4mzokC": {
    "title": "Sentence Transformers",
    "description": "",
    "links": []
  },
  "dLEg4IA3F5jgc44Bst9if": {
    "title": "Models on Hugging Face",
    "description": "",
    "links": []
  },
  "tt9u3oFlsjEMfPyojuqpc": {
    "title": "Vector Databases",
    "description": "",
    "links": []
  },
  "WcjX6p-V-Rdd77EL8Ega9": {
    "title": "Purpose and Functionality",
    "description": "",
    "links": []
  },
  "dSd2C9lNl-ymmCRT9_ZC3": {
    "title": "Chroma",
    "description": "",
    "links": []
  },
  "_Cf7S1DCvX7p1_3-tP3C3": {
    "title": "Pinecone",
    "description": "",
    "links": []
  },
  "VgUnrZGKVjAAO4n_llq5-": {
    "title": "Weaviate",
    "description": "",
    "links": []
  },
  "JurLbOO1Z8r6C3yUqRNwf": {
    "title": "FAISS",
    "description": "",
    "links": []
  },
  "rjaCNT3Li45kwu2gXckke": {
    "title": "LanceDB",
    "description": "",
    "links": []
  },
  "DwOAL5mOBgBiw-EQpAzQl": {
    "title": "Qdrant",
    "description": "",
    "links": []
  },
  "9kT7EEQsbeD2WDdN9ADx7": {
    "title": "Supabase",
    "description": "",
    "links": []
  },
  "j6bkm0VUgLkHdMDDJFiMC": {
    "title": "MongoDB Atlas",
    "description": "",
    "links": []
  },
  "5TQnO9B4_LTHwqjI7iHB1": {
    "title": "Indexing Embeddings",
    "description": "",
    "links": []
  },
  "ZcbRPtgaptqKqWBgRrEBU": {
    "title": "Performing Similarity Search",
    "description": "",
    "links": []
  },
  "lVhWhZGR558O-ljHobxIi": {
    "title": "RAG & Implementation",
    "description": "",
    "links": []
  },
  "GCn4LGNEtPI0NWYAZCRE-": {
    "title": "RAG Usecases",
    "description": "",
    "links": []
  },
  "qlBEXrbV88e_wAGRwO9hW": {
    "title": "RAG vs Fine-tuning",
    "description": "",
    "links": []
  },
  "mX987wiZF7p3V_gExrPeX": {
    "title": "Chunking",
    "description": "",
    "links": []
  },
  "grTcbzT7jKk_sIUwOTZTD": {
    "title": "Embedding",
    "description": "",
    "links": []
  },
  "zZA1FBhf1y4kCoUZ-hM4H": {
    "title": "Vector Database",
    "description": "",
    "links": []
  },
  "OCGCzHQM2LQyUWmiqe6E0": {
    "title": "Retrieval Process",
    "description": "",
    "links": []
  },
  "2jJnS9vRYhaS69d6OxrMh": {
    "title": "Generation",
    "description": "",
    "links": []
  },
  "WZVW8FQu6LyspSKm1C_sl": {
    "title": "Using SDKs Directly",
    "description": "",
    "links": []
  },
  "ebXXEhNRROjbbof-Gym4p": {
    "title": "Langchain",
    "description": "",
    "links": []
  },
  "d0ontCII8KI8wfP-8Y45R": {
    "title": "Llama Index",
    "description": "",
    "links": []
  },
  "eOqCBgBTKM8CmY3nsWjre": {
    "title": "Open AI Assistant API",
    "description": "",
    "links": []
  },
  "c0RPhpD00VIUgF4HJgN2T": {
    "title": "Replicate",
    "description": "",
    "links": []
  },
  "AeHkNU-uJ_gBdo5-xdpEu": {
    "title": "AI Agents",
    "description": "",
    "links": []
  },
  "778HsQzTuJ_3c9OSn5DmH": {
    "title": "Agents Usecases",
    "description": "",
    "links": []
  },
  "voDKcKvXtyLzeZdx2g3Qn": {
    "title": "ReAct Prompting",
    "description": "",
    "links": []
  },
  "6xaRB34_g0HGt-y1dGYXR": {
    "title": "Manual Implementation",
    "description": "",
    "links": []
  },
  "Sm0Ne5Nx72hcZCdAcC0C2": {
    "title": "OpenAI Functions / Tools",
    "description": "",
    "links": []
  },
  "mbp2NoL-VZ5hZIIblNBXt": {
    "title": "OpenAI Assistant API",
    "description": "",
    "links": []
  },
  "W7cKPt_UxcUgwp8J6hS4p": {
    "title": "Multimodal AI",
    "description": "",
    "links": []
  },
  "sGR9qcro68KrzM8qWxcH8": {
    "title": "Multimodal AI Usecases",
    "description": "",
    "links": []
  },
  "fzVq4hGoa2gdbIzoyY1Zp": {
    "title": "Image Understanding",
    "description": "",
    "links": []
  },
  "49BWxYVFpIgZCCqsikH7l": {
    "title": "Image Generation",
    "description": "",
    "links": []
  },
  "TxaZCtTCTUfwCxAJ2pmND": {
    "title": "Video Understanding",
    "description": "",
    "links": []
  },
  "mxQYB820447DC6kogyZIL": {
    "title": "Audio Processing",
    "description": "",
    "links": []
  },
  "GCERpLz5BcRtWPpv-asUz": {
    "title": "Text-to-Speech",
    "description": "",
    "links": []
  },
  "jQX10XKd_QM5wdQweEkVJ": {
    "title": "Speech-to-Text",
    "description": "",
    "links": []
  },
  "CRrqa-dBw1LlOwVbrZhjK": {
    "title": "OpenAI Vision API",
    "description": "",
    "links": []
  },
  "LKFwwjtcawJ4Z12X102Cb": {
    "title": "DALL-E API",
    "description": "",
    "links": []
  },
  "OTBd6cPUayKaAM-fLWdSt": {
    "title": "Whisper API",
    "description": "",
    "links": []
  },
  "EIDbwbdolR_qsNKVDla6V": {
    "title": "Hugging Face Models",
    "description": "",
    "links": []
  },
  "j9zD3pHysB1CBhLfLjhpD": {
    "title": "LangChain for Multimodal Apps",
    "description": "",
    "links": []
  },
  "akQTCKuPRRelj2GORqvsh": {
    "title": "LlamaIndex for Multimodal Apps",
    "description": "",
    "links": []
  },
  "NYge7PNtfI-y6QWefXJ4d": {
    "title": "Development Tools",
    "description": "",
    "links": []
  },
  "XcKeQfpTA5ITgdX51I4y-": {
    "title": "AI Code Editors",
    "description": "",
    "links": []
  },
  "TifVhqFm1zXNssA8QR3SM": {
    "title": "Code Completion Tools",
    "description": "",
    "links": []
  }
}