Best LLM Evaluation Tools with a Free Trial

LLM Evaluation in Vertex AI focuses on assessing the performance of large language models to ensure their effectiveness across various natural language processing tasks. Vertex AI provides tools for evaluating LLMs in tasks like text generation, question-answering, and language translation, allowing businesses to fine-tune models for better accuracy and relevance. By evaluating these models, businesses can optimize their AI solutions and ensure they meet specific application needs. New customers receive $300 in free credits to explore the evaluation process and test large language models in their own environment. This functionality enables businesses to enhance the performance of LLMs and integrate them into their applications with confidence.

The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Configurable layouts and templates adapt to your dataset and workflow. Detect objects on images, boxes, polygons, circular, and key points supported. Partition the image into multiple segments. Use ML models to pre-label and optimize the process. Webhooks, Python SDK, and API allow you to authenticate, create projects, import tasks, manage model predictions, and more. Save time by using predictions to assist your labeling process with ML backend integration. Connect to cloud object storage and label data there directly with S3 and GCP. Prepare and manage your dataset in our Data Manager using advanced filters. Support multiple projects, use cases, and data types in one platform. Start typing in the config, and you can quickly preview the labeling interface. At the bottom of the page, you have live serialization updates of what Label Studio expects as an input.