Mosaic AI by Databricks
Databricks Mosaic AI provides tools for building, fine-tuning, evaluating and deploying machine-learning and generative-AI applications on the Databricks Data Intelligence Platform.
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Databricks Mosaic AI provides tools for building, fine-tuning, evaluating and deploying machine-learning and generative-AI applications on the Databricks Data Intelligence Platform.
Multi-model prompt interface for comparing generated responses from different AI providers. Check supported models, current access and data policies.
Framework and platform for connecting private data to LLM applications, with data ingestion, indexing, retrieval and agent workflows. Check current product documentation.
Dasha is a developer platform for building and operating real-time voice AI agents with APIs and conversational flows. A free Developer plan includes 1,000 minutes; Growth starts at $0.08 per connected minute, excluding VoIP and LLM tokens.
Machine learning platform for creating custom NLP models and data labeling workflows with reduced coding effort. Verify current company product offerings.
AI search and answer tool listing for finding information about historical events and topics. Current product status, source citations and availability are unverified.
Open-source evaluation and benchmarking toolkit for testing language-model applications against defined quality, performance and safety criteria. See current repository docs for supported integrations.
Developer platform for tracing, evaluating, testing and monitoring applications built with language models and agents. Check current LangChain product documentation and plans.
Teach Drune how you think, work, and decide once. Connect the same Drune to ChatGPT, Claude, Cursor, VS Code, local models, and any MCP-compatible app. Three Drunes and 100 calls a month are free for a limited time.
Evaluation and experimentation platform for testing and improving LLM applications. Check current documentation for supported providers, tracing, and pricing.
AI got your app working. We take it from there: we put it online behind a sign-in, and give it everything it needs to run, from its database to its backups.