Integrating AI technologies into your existing infrastructure will enhance customer engagement, reduce human error, and optimize your profits to their fullest potential.
Python has proven to be one of the most efficient programming languages for AI and ML solutions.
LangChain is a framework for developing AI & ML applications powered by language models.
PyTorch is a fully featured framework for building deep learning models, written in Python.
TensorFlow is an open source framework to run machine learning, deep learning and AI projects.
Pinecone is a vector database that helps building high-performance vector search applications.
Chroma is the open-source embedding database that makes it easy to build LLM apps.
PostgreSQL is a database that supports both SQL (relational) and JSON (non-relational) querying.
MongoDB is a non-relational database that provides support for JSON-like storage.
The ChatGPT API enables integration of ChatGPT into your applications, or services.
Google Bard is a tool designed to simulate human conversations using NLP and machine learning.
Midjourney is a text-topicture service developed by an independent research lab
DALL·E is an AI system that can create realistic images from a description in natural language.
Keras is a high-level, deep learning API developed by Google for implementing neural networks.
Whisper AI is a speech recognition software that converts spoken language into written text.
OpenCV is an open source computer vision and machine learning software library.
Pandas is a Python library, entirely dedicated to Data Science, Deep & Machine Learning development.
AWS pre-trained AI Services provide ready-made intelligence for your applications.
Azure AI is a portfolio of AI services designed for developers to do more with less.
AI Platform is a service that enables you to easily build ML models, that work on any type of data.
DO is a cloud hosting provider that offers cloud computing services and Infrastructure.
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