News

A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...
Flask API will receive user input in form of request.form["word"] through UI or API calls, computes the similar words to input based on our saved model and returns it. In ...
Only around 10% of all businesses are estimated to possess enough experience, financial resources and technical expertise to deploy a fresh ML model to production within a week after its completion.
MLOps platform Iterative, which announced a $20 million Series A round almost exactly a year ago, today launched MLEM, an open source Git-based machine learning model management and deployment tool.
Monster API today announces the world’s first GPT-based deployment agent (MonsterGPT) to simplify and speed up the process of fine-tuning and deployment of open source generative AI models ...
Much of Google’s AI work is tied up in research, but the company is now offering an API for its large language model PaLM. This will rival APIs offered by OpenAI, which lets developers build on ...
When developing ML models with governance in mind, the most important considerations are reperformance, version control, interpretability, and ease of deployment and maintainability. Reperformance ...