llama-launcher v1.3 release -> Bayesian Optimisation

1. 1Install the latest version of llama-launcher using pip
2. 2Configure the Bayesian Optimization algorithm in the llama-launcher settings
3. 3Run a hyperparameter tuning experiment using the optimized algorithm
4. 4Analyze the results and compare the performance of different models
5. 5Apply the optimized hyperparameters to your production model

Data scientists and machine learning engineers can benefit from this release to optimize their models' performance

💡 Bayesian Optimization can efficiently tune hyperparameters to improve model performance

🚀 Boost your model's performance with Bayesian Optimization in llama-launcher v1.3!