We Improved Our LLM Ranker Accuracy by 85% for Less Than $100

Nov 22, 2023 ·

Dashworks has developed a new language model (LM) ranker that has achieved great success in accuracy. The new LM is an improvement over their previous version, which had an accuracy rate of around 70%. The new LM ranker has improved accuracy by 85%, allowing Dashworks to better understand customer search queries and provide accurate results.

The main components of the new LM ranker are; data pre-processing, feature engineering, hyper-parameter tuning, model selection, training, and evaluation. Data pre-processing involves cleaning and normalizing the data for accurate analysis. Feature engineering involves extracting useful information from the data and transforming it into features. Hyper-parameter tuning is the process of optimizing the parameters of a machine learning algorithm for maximum performance. Model selection allows Dashworks to select the best model for the task at hand. Training entails feeding the data to the selected model so that it can learn. Lastly, the model can be evaluated to test its accuracy.

To achieve its success, the new LM ranker underwent several rounds of experimentation and tweaking. For instance, Dashworks tested different types of neural networks, experimented with different pre-processing techniques, and tried different ways of feature engineering. After several rounds of experimentation, they finally arrived at the best combination of techniques, which yielded an increased accuracy of 85%.

Dashworks was also able to reduce the cost of their LM ranker by 95% compared to their previous version. This was possible due to the careful optimization of resources, such as hardware and software, ensuring that the system ran efficiently. The model was also able to process a massive amount of data in a matter of seconds, making it extremely fast and reliable.

Overall, Dashworks’ new LM ranker has enabled them to produce more accurate results than ever before. Thanks to their thorough experimentation and optimization, Dashworks was able to increase accuracy by 85% and reduce cost by 95%, while still providing customers with highly accurate results.