Our AI & ML expertise
Large Language Models (LLM)
We stay current with the latest in LLM and have built applications on top of paid services such as ChatGPT, GPT-4, or open-source solutions such as LLaMA, Alpaca, or Stability AI. We have also utilized autonomous libraries such as LangChain and Auto-GPT.
Natural Language Processing (NLP)
We use state-of-the-art models like BERT, RoBERTa, BART and T5 to handle various NLP tasks like news article summarization, duplicate document filtering, sentiment analysis, extractive question answering.
Text-to-Speech
We use different models to convert written text into spoken words, applying different Spectrogram and Vocoder models such as Tacotron2, WaveGlow, FastPitch, and HifiGan.
Speech-to-Text
We use models and tools like Whisper AI to turn spoken words into written text, which can be used to automatically add captions to voice data or analyze what's being said.
Document AI
We take advantage of the latest models and techniques like OCR, LayoutLM, Donut for document processing to extract structured information, answer questions, classify and more from your pdf or image documents.
Generative AI
We use models for tasks like generating AI images based on photo files, categorizing images, adding captions to images, and converting text to images or images to other images.
Face Recognition & Full-Body Tracking
We utilize computer vision solutions including facial landmark detection with MediaPipe and pose estimation with OpenPose to track faces, hand gestures, and poses in real-time for various applications.
Image Object Detection & Classification
We use lightweight computer vision models like YOLO, MobileNet, EfficientNet to detect, segment and classify objects in images or video frames in real-time.
MLOps & LLMOps
We have deployed multiple production models to different cloud platforms, set up for monitoring and maintaining. We also make sure these systems are cost-effective and high-performing.
Machine Learning Tools
We utilize tools such as Hugging Face, Scikit-learn, TensorFlow, and PyTorch for data preparation, model selection, experimentation, training, and deployment & maintenance.
Data Management & Processing
We have built data pipelines, managed and analyzed the stored data, and processed large datasets.
