# Artificial Intelligence
|  | **Artificial Intelligence** (AI) is the intelligence of machines or software, as opposed to the intelligence of humans or animals. It is a field of study in computer science which develops and studies intelligent machines. Such machines may be called AIs. |
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| | wikipedia:: [Artificial intelligence](https://en.wikipedia.org/wiki/Artificial_intelligence) |
[[Codex/Tech/OpenAI]]
## Concepts
- [[Machine Learning]]
- [[Deep Learning]]
- [[Neural Network]]
- [[Language model]]
- GGUF
- file format and library for models running on consumer hardware
- [[Large Language Model]]
- [[Generative pre-trained transformer]]
- Architecture
- Llama
- chatgpt?
- Phi-3
- Gemm?
- {
"name": "Meta Llama 3.1 8B Instruct",
"arch": "llama",
"quant": "Q4_K_M",
"context_length": 131072,
"embedding_length": 4096,
"num_layers": 32,
"rope": {
"freq_base": 500000,
"dimension_count": 128
},
"head_count": 32,
"head_count_kv": 8,
"parameters": "7B"
}
- [[Generative artificial intelligence]]
- Image generation models
- Checkpoints
- Lora
- Dora
- [[Prompt engineering]]
- [[Prompt engineering|RAG]]
- Rag Pipeline
- Zero shot, one shot, many shot
- [[Chatbot]]
- [[Heuristic]]
- QA = question answering
- chat vs simple, one-off query
- AI Token
- AI Context Window
- Context length
- [What Are AI Tokens and Context Windows (And Why Should You Care)?](https://simple.ai/p/tokens-and-context-windows)
- [[Context Engineering]]
- Vector
- Vector DB
- Embeddings
- Dimensions, dimensionality
- Parameters
- as in 7B, 8B, 40B, etc. in different models
- the number of trainable weights in the model's neural network architecture
- weights are learned during training and are used to compute the output given an input.
- Training, fine-tuning
- Agent, tools, function calling
- MCP
- A2A
## [[Ethics of artificial intelligence]]
## Tools
- [[AI Tools]]
## Inbox
- [[Semantics|Semantic]]
- [Alpaca: The AI industry just got flipped on its head : r/ChatGPT](https://www.reddit.com/r/ChatGPT/comments/11tmld8/alpaca_the_ai_industry_just_got_flipped_on_its/)
- Interesting implications.
- Models can transfer intelligence easier than thought
- implications about competitive advantages and skewing toward pipeline chained archistectures.
- [[Model Context Protocol]]