LLM in Arabic Language Development
Budget: $50 – $0 USD
We're looking for an expert to build or fine-tune a Large Language Model (LLM) that can directly answer questions in Arabic language using knowledge from a specific dataset in Arabic. The project involves:
1. Selecting an appropriate LLM architecture that works in Arabic language (and define the necessary model parameters, including the number of layers and other relevant configurations so that the model understands and responds in Arabic).
2. Fine-tuning the model to specialize it for our Arabic dataset (and execute a comprehensive fine-tuning strategy to optimize the model's performance).
3. Preparing the dataset (including feature normalization, data padding, and other preprocessing steps) to include all relevant information to train the model effectively.
4. Evaluating the LLM's performance and ensuring accurate answers.
5. Documenting the process and assisting with deployment.
Requirements:
- Experience with LLM development and fine-tuning.
- Proficiency in selecting and configuring model architectures, as well as justifying the choice between fine-tuning or building from scratch based on project requirements.
- The freelancer should be capable of answering and clarifying all the questions/concerns related to selected choice (model details such as number of layers and other model parameters).
- Knowledge of dataset preparation techniques.
1. Selecting an appropriate LLM architecture that works in Arabic language (and define the necessary model parameters, including the number of layers and other relevant configurations so that the model understands and responds in Arabic).
2. Fine-tuning the model to specialize it for our Arabic dataset (and execute a comprehensive fine-tuning strategy to optimize the model's performance).
3. Preparing the dataset (including feature normalization, data padding, and other preprocessing steps) to include all relevant information to train the model effectively.
4. Evaluating the LLM's performance and ensuring accurate answers.
5. Documenting the process and assisting with deployment.
Requirements:
- Experience with LLM development and fine-tuning.
- Proficiency in selecting and configuring model architectures, as well as justifying the choice between fine-tuning or building from scratch based on project requirements.
- The freelancer should be capable of answering and clarifying all the questions/concerns related to selected choice (model details such as number of layers and other model parameters).
- Knowledge of dataset preparation techniques.