muradAgain/programmatic-adtech-llm-mistral7b
The muradAgain/programmatic-adtech-llm-mistral7b is a 7 billion parameter language model, fine-tuned from Mistral-7B-Instruct-v0.2, specifically designed for the programmatic advertising domain. Developed by muradAgain, it leverages QLoRA for efficient training on a specialized dataset of 96 ad tech Q&A pairs. This model excels as a Q&A assistant and educational tool for programmatic advertising, covering topics like supply path, ad fraud, and CTV.
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Overview
muradAgain/programmatic-adtech-llm-mistral7b is a 7 billion parameter language model, fine-tuned from the mistralai/Mistral-7B-Instruct-v0.2 base model. It was developed by muradAgain with the specific goal of providing expertise in the programmatic advertising domain.
Key Capabilities
This model has been fine-tuned using QLoRA (4-bit quantization + LoRA) on a specialized dataset comprising 96 ad tech Q&A pairs. Its knowledge base spans 10 critical categories within programmatic advertising, including:
- Fundamentals
- Supply Path
- Ad Fraud
- Targeting
- CTV (Connected TV)
- DOOH (Digital Out-of-Home)
- Measurement
- Privacy
- Political Advertising
- Brand Safety
- Campaign Operations
Use Cases
Given its specialized training, this model is particularly well-suited for:
- Ad tech education and onboarding: Assisting new hires or those unfamiliar with programmatic advertising concepts.
- Programmatic advertising Q&A assistant: Providing answers to specific queries within the domain.
- Internal tooling for AdOps teams: Supporting operational tasks and knowledge retrieval.
- Embedded chatbot for ad tech platforms: Enhancing user experience on industry-specific platforms.
Limitations
It's important to note that the model's knowledge is limited by its small training dataset (96 examples) and specific categories. It is not intended for real-time bidding decisions or financial advice.