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Generative AI / Subject

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Build foundations in generative AI, machine learning, language models, transformers, prompt engineering, embeddings, vector databases, RAG, model APIs and media generation.

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Beginner

236 topics
  1. Introduction to Generative AI
  2. What is Generative AI
  3. History of Generative AI
  4. Generative AI vs Traditional AI
  5. Generative AI vs Machine Learning
  6. Generative AI vs Deep Learning
  7. Generative AI vs Predictive AI
  8. Generative AI Applications
  9. Generative AI Use Cases
  10. Types of Generative AI
  11. Text Generation
  12. Image Generation
  13. Audio Generation
  14. Music Generation
  15. Video Generation
  16. Code Generation
  17. Multimodal Generation
  18. Synthetic Data Generation
  19. Artificial Intelligence Fundamentals
  20. Machine Learning Fundamentals
  21. Supervised Learning
  22. Unsupervised Learning
  23. Reinforcement Learning
  24. Neural Networks
  25. Deep Learning
  26. Training Data
  27. Training and Inference
  28. Parameters
  29. Hyperparameters
  30. Loss Functions
  31. Optimization
  32. Gradient Descent
  33. Backpropagation
  34. Introduction to Large Language Models
  35. Language Models
  36. Tokens
  37. Tokenization
  38. Vocabulary
  39. Context Window
  40. Embeddings
  41. Model Parameters
  42. Prompts
  43. Completions
  44. Inference
  45. Temperature
  46. Top-k Sampling
  47. Top-p Sampling
  48. Maximum Tokens
  49. Stop Sequences
  50. Deterministic vs Stochastic Generation
  51. Hallucinations
  52. Model Limitations
  53. Introduction to Transformers
  54. Transformer Architecture
  55. Encoder
  56. Decoder
  57. Encoder-Decoder Models
  58. Self-Attention
  59. Attention Mechanism
  60. Multi-Head Attention
  61. Positional Encoding
  62. Feed-Forward Networks
  63. Residual Connections
  64. Layer Normalization
  65. Causal Attention
  66. Attention Masks
  67. Introduction to Prompt Engineering
  68. Prompt Structure
  69. Instructions
  70. Context
  71. Input Data
  72. Output Format
  73. Zero-Shot Prompting
  74. One-Shot Prompting
  75. Few-Shot Prompting
  76. Role Prompting
  77. Contextual Prompting
  78. Prompt Templates
  79. Prompt Variables
  80. Prompt Constraints
  81. Structured Output
  82. JSON Output
  83. Prompt Testing
  84. Prompt Iteration
  85. Prompt Evaluation
  86. System Prompts
  87. Instruction Hierarchy
  88. Multi-Step Prompting
  89. Prompt Chaining
  90. Decomposition
  91. Self-Consistency
  92. Generated Knowledge Prompting
  93. Retrieval-Augmented Prompting
  94. Tool-Augmented Prompting
  95. Dynamic Prompting
  96. Adaptive Prompting
  97. Prompt Optimization
  98. Prompt Versioning
  99. Prompt Management
  100. Prompt Injection
  101. Indirect Prompt Injection
  102. Jailbreak Attacks
  103. Prompt Security
  104. Embedding Models
  105. Text Embeddings
  106. Image Embeddings
  107. Multimodal Embeddings
  108. Embedding Dimensions
  109. Vector Representation
  110. Semantic Similarity
  111. Cosine Similarity
  112. Dot Product Similarity
  113. Euclidean Distance
  114. Chunk Embeddings
  115. Document Embeddings
  116. Query Embeddings
  117. Embedding Search
  118. Embedding Evaluation
  119. Introduction to Vector Databases
  120. Vector Indexing
  121. Approximate Nearest Neighbor Search
  122. Similarity Search
  123. Metadata Filtering
  124. Hybrid Search
  125. HNSW
  126. IVF Indexes
  127. Product Quantization
  128. Vector Database Architecture
  129. Vector Database Scaling
  130. Vector Database Optimization
  131. Introduction to RAG
  132. RAG Architecture
  133. Knowledge Bases
  134. Document Loading
  135. Document Parsing
  136. Text Extraction
  137. Chunking
  138. Fixed-Size Chunking
  139. Semantic Chunking
  140. Recursive Chunking
  141. Overlapping Chunks
  142. Indexing
  143. Retrieval
  144. Semantic Retrieval
  145. Keyword Retrieval
  146. Hybrid Retrieval
  147. Query Transformation
  148. Query Expansion
  149. Multi-Query Retrieval
  150. Reranking
  151. Context Selection
  152. Context Compression
  153. Contextual Retrieval
  154. RAG Prompt Construction
  155. Citation Generation
  156. Source Attribution
  157. RAG Evaluation
  158. RAG Hallucination Reduction
  159. LLM APIs
  160. API Authentication
  161. Model Selection
  162. Message Roles
  163. Streaming Responses
  164. Structured Outputs
  165. Function Calling
  166. Tool Calling
  167. JSON Schema
  168. Error Handling
  169. Retry Strategies
  170. Rate Limits
  171. Token Management
  172. Cost Management
  173. Conversation Management
  174. Chat History
  175. Memory Systems
  176. Session Management
  177. Context Management
  178. Semantic Caching
  179. Response Caching
  180. LangChain
  181. LangGraph
  182. LlamaIndex
  183. Hugging Face Transformers
  184. Hugging Face Datasets
  185. Hugging Face Tokenizers
  186. Semantic Kernel
  187. DSPy
  188. Haystack
  189. LiteLLM
  190. vLLM
  191. OpenAI Models
  192. Anthropic Claude Models
  193. Google Gemini Models
  194. Meta Llama Models
  195. Mistral Models
  196. DeepSeek Models
  197. Qwen Models
  198. Microsoft AI Models
  199. Amazon Bedrock Models
  200. Open-Source LLMs
  201. Proprietary LLMs
  202. Local LLMs
  203. Generative Image Models
  204. Text-to-Image Generation
  205. Image-to-Image Generation
  206. Image Editing
  207. Inpainting
  208. Outpainting
  209. Image Conditioning
  210. Diffusion Models
  211. Stable Diffusion
  212. Latent Diffusion
  213. ControlNet
  214. LoRA for Image Models
  215. Image Prompt Engineering
  216. Negative Prompts
  217. Image Upscaling
  218. Speech Generation
  219. Text-to-Speech
  220. Speech-to-Text
  221. Voice Models
  222. Voice Cloning Concepts
  223. Audio Generation
  224. Music Generation
  225. Audio Transformers
  226. Speech Recognition
  227. Real-Time Voice AI
  228. Generative Video Models
  229. Text-to-Video
  230. Image-to-Video
  231. Video-to-Video
  232. Video Diffusion
  233. Video Transformers
  234. Video Prompt Engineering
  235. Temporal Consistency
  236. Video Editing with AI

Topics

236 published topics

  1. 41 Model ParametersLearn Model Parameters through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  2. 42 PromptsLearn Prompts through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  3. 43 CompletionsLearn Completions through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  4. 44 InferenceLearn Inference through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  5. 45 TemperatureLearn Temperature through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  6. 46 Top-k SamplingLearn Top-k Sampling through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  7. 47 Top-p SamplingLearn Top-p Sampling through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  8. 48 Maximum TokensLearn Maximum Tokens through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  9. 49 Stop SequencesLearn Stop Sequences through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  10. 50 Deterministic vs Stochastic GenerationLearn Deterministic vs Stochastic Generation through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  11. 51 HallucinationsLearn Hallucinations through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  12. 52 Model LimitationsLearn Model Limitations through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  13. 53 Introduction to TransformersLearn Introduction to Transformers through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  14. 54 Transformer ArchitectureLearn Transformer Architecture through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  15. 55 EncoderLearn Encoder through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  16. 56 DecoderLearn Decoder through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  17. 57 Encoder-Decoder ModelsLearn Encoder-Decoder Models through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  18. 58 Self-AttentionLearn Self-Attention through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  19. 59 Attention MechanismLearn Attention Mechanism through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning
  20. 60 Multi-Head AttentionLearn Multi-Head Attention through a detailed Generative AI lesson with a relevant example, verification, exercises, safety analysis and practice questions.Beginner · 14 min read · 90 min learning