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| wiki:ai:key_terms_ai [2025/05/28 16:51] – created ddehamer | wiki:ai:key_terms_ai [2025/05/28 16:55] (current) – ddehamer |
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| | **Tuning / Fine-tuning** | Model Optimization | Adjusting a pre-trained model for a specific task or domain. | | | **Tuning / Fine-tuning** | Model Optimization | Adjusting a pre-trained model for a specific task or domain. | |
| | **Overfitting** | ML Issue | When a model performs well on training data but poorly on new data. | | | **Overfitting** | ML Issue | When a model performs well on training data but poorly on new data. | |
| | | **Model Context Protocol (MCP)** | Model Integration | Standardized interface or protocol designed to allow language models (LLMs) to access, interpret, and maintain context across multiple interactions, tools, and data sources. | |
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| ===== Key Technologies and Platforms ===== | ===== Key Technologies and Platforms ===== |
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| ^ **Technology** ^ **Category** ^ **Description** ^ | ^ **Technology** ^ **Category** ^ **Description** ^ |
| | **OpenAI** | Foundation Model Provider | Creator of ChatGPT and GPT models. Offers APIs for LLMs, embeddings, and other AI services. | | | **OpenAI** | Foundation Model Provider | Creator of ChatGPT and GPT models. Offers APIs for LLMs, embeddings, and other AI services. | |
| | **Azure OpenAI Service** | Cloud Platform | Microsoft’s hosted version of OpenAI models with enterprise security, scaling, and governance. | | | **Azure OpenAI Service** | Cloud Platform | Microsoft’s hosted version of OpenAI models with enterprise security, scaling, and governance. | |
| | **Anthropic** | Foundation Model Provider | AI company focused on safety and alignment, creator of the Claude model family. | | | **Anthropic** | Foundation Model Provider | AI company focused on safety and alignment, creator of the Claude model family. | |
| | **Mistral (MCP)** | Foundation Model Provider | European AI company building open-weight language models, known for fast inference and performance. | | | **Mistral (MCP)** | Foundation Model Provider | European AI company building open-weight language models, known for fast inference and performance. | |
| | **Agentic AI** | AI Paradigm | AI systems that act autonomously and can make decisions, take actions, and pursue goals across tools and environments. | | | **Agentic AI** | AI Paradigm | AI systems that act autonomously and can make decisions, take actions, and pursue goals across tools and environments. | |
| | **LangChain** | Agentic Framework | Framework to build agent-based AI applications using chains of prompts, tools, and models. | | | **LangChain** | Agentic Framework | Framework to build agent-based AI applications using chains of prompts, tools, and models. | |
| | **AutoGPT** | Agentic Framework | Autonomous AI agent that breaks down tasks into subtasks and self-prompt to complete goals. | | | **AutoGPT** | Agentic Framework | Autonomous AI agent that breaks down tasks into subtasks and self-prompt to complete goals. | |
| | **Hugging Face** | AI Platform / Model Hub | Open-source platform hosting thousands of models, datasets, and transformers tools. | | | **Hugging Face** | AI Platform / Model Hub | Open-source platform hosting thousands of models, datasets, and transformers tools. | |
| | **LLMOps** | Operational Practice | Managing, deploying, monitoring, and improving LLMs in production (similar to MLOps). | | | **LLMOps** | Operational Practice | Managing, deploying, monitoring, and improving LLMs in production (similar to MLOps). | |
| | **Retrieval-Augmented Generation (RAG)** | AI Technique | Combines LLMs with external knowledge sources (e.g., vector databases) for more accurate and current answers. | | | **Retrieval-Augmented Generation (RAG)** | AI Technique | Combines LLMs with external knowledge sources (e.g., vector databases) for more accurate and current answers. | |
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| [[ai_knowledge|AI Knowledge]] | [[ai_knowledge|AI Knowledge]] |
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