| ID | Title | Description | Threat Mappings |
|---|---|---|---|
| CCC.GenAI.CP01 | Text-Based Model Selection | Ability to select a foundation model that excels at natural language understanding and generation tasks such as summarization, translation, text generation, question answering, and sentiment analysis. | 1 |
| CCC.GenAI.CP02 | Code-Based Model Selection | Ability to select a foundation model that focuses on code understanding, generation, and transformation tasks. | 1 |
| CCC.GenAI.CP03 | Embedding Model Selection | Ability to select a foundation model used for tasks like semantic search, clustering, and document similarity by converting text into vector embeddings. | 3 |
| CCC.GenAI.CP04 | Image-Based Model Selection | Ability to select a foundation model that focuses on tasks related to vision, such as image generation, editing, and manipulation. | 3 |
| CCC.GenAI.CP05 | Multimodal Model Selection | Ability to select a foundation model that supports more than one modality, such as combining text and image. | 0 |
| CCC.GenAI.CP06 | Customizable Model Selection | Provide users the ability to fine-tune models with their own data. | 2 |
| CCC.GenAI.CP07 | Parameter Tuning - Temperature | Ability to control the randomness and creativity of the response. | 1 |
| CCC.GenAI.CP08 | Parameter Tuning - Max Token | Ability to limit the length of the response. | 1 |
| CCC.GenAI.CP09 | Parameter Tuning - Top P (Nucleus Sampling) | Ability to adjust the number of likely next tokens to consider based on cumulative probability. | 1 |
| CCC.GenAI.CP10 | Parameter Tuning - Top K | Ability to limit the number of token choices for the next word. | 1 |
| CCC.GenAI.CP11 | Parameter Tuning - Stop Sequences | Ability to halt generation when a predefined sequence is encountered. | 1 |
| CCC.GenAI.CP12 | Parameter Tuning - Frequency Penalty | Ability to penalize words that have been used frequently, reducing their likelihood of being repeated. | 1 |
| CCC.GenAI.CP13 | Parameter Tuning - Presence Penalty | Ability to penalize tokens that have already been used, encouraging the model to introduce new tokens. | 1 |
| CCC.GenAI.CP14 | Parameter Tuning - Context Length | Ability to control how much prior conversation or input the model will use for generating coherent responses. | 1 |
| CCC.GenAI.CP15 | Text-Based Prompts | Ability to input prompts in plain text. | 1 |
| CCC.GenAI.CP16 | Structured Prompts | Ability to provide structured input such as JSON as prompts. | 1 |
| CCC.GenAI.CP17 | Contextual Prompts | Ability to provide context or background information within the prompt to guide the response. | 1 |
| CCC.GenAI.CP18 | Interactive Prompts | Ability to use conversational prompts to create interactive dialogues. | 1 |
| CCC.GenAI.CP19 | Image-Based Prompts | Ability to input an image as a prompt to generate a response. | 1 |
| CCC.GenAI.CP20 | Custom Template Prompts | Ability to define custom templates or structures for prompts to standardize interactions with the models. | 1 |
| CCC.GenAI.CP21 | Generate Content | Ability to generate a response given a foundation model, parameter values, and a prompt. | 6 |
| CCC.GenAI.CP22 | Data Control | Ensures prompts, model outputs, embeddings, and training data fed by customers are not used to train foundation models. | 3 |
| CCC.GenAI.CP23 | Data Storage | Ability to retrieve previously generated outputs and prompts for the given session. | 0 |
| CCC.GenAI.CP24 | Content Moderation | Ensure the service detects and filters abusive, harmful, and sensitive information to ensure responsible and safe use of the service. | 2 |
| CCC.GenAI.CP25 | Plugin Integrations | Ability for the model to use tools to complete a model interaction. For example web search, python code execution or external maths engine. | 2 |
AI/ML / Gen AI
Capabilities
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