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Technologies We Use
We have a strong background in AI-based solutions that will prove valuable for your project. Our main AI technology stack includes PyTorch, TensorFlow, LangChain, Keras, among others.
Our proficiency extends to the following machine learning areas:
- Regression, Gradient Boosting, Adaptive Boosting, LSTM. We’ve successfully used time series data prediction in the fields of finance and electricity generation forecasting.
- Reinforcement Learning (RL/DRL), which we’ve applied in Algo Trading.
- Large Language Models (LLM), including building, fine-tuning, and connecting to external sources with HuggingFace models. Some of our project samples include chatbots, code generation, sentiment analysis, and access to 3rd party data sources. We build our own models with Llama2, and access Bert and ChatGPT APIs.
- Recurrent Neural Networks (RNN), which we’ve used in object recognition from images.
- Dynamic programming.
We are also well-versed in data analysis, including:
- Probability theory (Deviations, Chebyshev, Bayesian Statistics, Poisson, Bernoulli, Kolmogorov, Pearson).
- Correlation, Association, and Hypothesis testing.