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582 lines
12 KiB
582 lines
12 KiB
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"_hYN0gEi9BL24nptEtXWU": { |
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"title": "Introduction", |
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}, |
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"GN6SnI7RXIeW8JeD-qORW": { |
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"title": "What is an AI Engineer?", |
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}, |
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"title": "AI Engineer vs ML Engineer", |
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}, |
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"title": "LLMs", |
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"title": "Inference", |
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"title": "Training", |
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"title": "Vector Databases", |
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"title": "AI Agents", |
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}, |
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"title": "AI vs AGI", |
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"title": "Impact on Product Development", |
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"description": "", |
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}, |
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"title": "Roles and Responsiblities", |
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}, |
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"title": "Pre-trained Models", |
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"title": "Benefits of Pre-trained Models", |
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"title": "Limitations and Considerations", |
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"title": "Capabilities / Context Length", |
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"title": "Anthropic's Claude", |
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"title": "Google's Gemini", |
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"title": "Azure AI", |
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"title": "AWS Sagemaker", |
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"title": "Cohere", |
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"title": "OpenAI Models", |
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"title": "Chat Completions API", |
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"description": "", |
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"links": [] |
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"title": "Writing Prompts", |
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"title": "Open AI Playground", |
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"title": "Fine-tuning", |
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"title": "Maximum Tokens", |
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"title": "Token Counting", |
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"title": "Prompt Injection Attacks", |
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"title": "Conducting adversarial testing", |
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}, |
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"title": "Hugging Face Tasks", |
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