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AI-native search engine optimizing user queries for web and mobile applications.
Open source evaluation infrastructure for LLMs to enhance their performance and reliability.
Prototype, evaluate, and observe LLM applications with Inductor.
Dataset for modeling information seeking dialog through question answering in context.
A benchmark for evaluating audio representations across diverse tasks in speech, music, and environmental sound.
A Heterogeneous Benchmark for evaluating Information Retrieval models across diverse datasets.
A high-level library for training and evaluating neural networks in PyTorch.
Streamlined evaluation for LLM & RAG models with insights into qualitative metrics.
An orchestration engine for building and deploying LLM applications with a visual debugger.
A collaborative tool for creating, testing, and evaluating AI prompts and chains for enhanced productivity.
Evaluate LLM-powered applications efficiently with BenchLLM's flexible testing and reporting tools.
Time-series machine learning at scale.
An autonomous LLM agent for complex task solving.
