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Add AI Engineer roadmap content
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# Adding end-user IDs in prompts
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# Agents Usecases
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# AI Agents
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# AI Agents
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# AI Code Editors
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# AI Engineer vs ML Engineer
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# AI Safety and Ethics
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# AI vs AGI
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# Anomaly Detection
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# Anthropic's Claude
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# Audio Processing
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# AWS Sagemaker
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# Azure AI
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# Benefits of Pre-trained Models
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# Bias and Fareness
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# Capabilities / Context Length
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# Chat Completions API
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# Chroma
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# Chunking
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# Code Completion Tools
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# Cohere
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# Conducting adversarial testing
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# Constraining outputs and inputs
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# Cut-off Dates / Knowledge
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# DALL-E API
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# Data Classification
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# Development Tools
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# Embedding
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# Embeddings
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# FAISS
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# Fine-tuning
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# Generation
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# Google's Gemini
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# Hugging Face Hub
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# Hugging Face Models
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# Hugging Face Models
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# Hugging Face Tasks
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# Hugging Face
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# Image Generation
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# Image Understanding
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# Impact on Product Development
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# Indexing Embeddings
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# Inference SDK
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# Inference
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# Introduction
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# Know your Customers / Usecases
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# LanceDB
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# LangChain for Multimodal Apps
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# Langchain
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# Limitations and Considerations
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# Llama Index
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# LlamaIndex for Multimodal Apps
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# LLMs
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# Manual Implementation
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# Maximum Tokens
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# Mistral AI
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# Models on Hugging Face
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# MongoDB Atlas
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# Multimodal AI Usecases
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# Multimodal AI
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# Ollama Models
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# Ollama SDK
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# Ollama
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# Open AI Assistant API
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# Open AI Embedding Models
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# Open AI Embeddings API
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# Open AI Models
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# Open AI Playground
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# Open-Source Embeddings
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# Open vs Closed Source Models
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# OpenAI API
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# OpenAI Assistant API
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# OpenAI Functions / Tools
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# OpenAI Models
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# OpenAI Moderation API
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# OpenAI Vision API
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# OpenSource AI
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# Performing Similarity Search
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# Pinecone
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# Popular Open Source Models
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# Pre-trained Models
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# Pricing Considerations
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# Pricing Considerations
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# Prompt Engineering
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# Prompt Injection Attacks
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# Purpose and Functionality
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# Qdrant
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# RAG & Implementation
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# RAG Usecases
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# RAG vs Fine-tuning
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# RAG
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# ReAct Prompting
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# Recommendation Systems
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# Replicate
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# Retrieval Process
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# Robust prompt engineering
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# Roles and Responsiblities
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# Security and Privacy Concerns
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# Semantic Search
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