Large Language Model Evaluation Tools 2023: Open Source and Commercial
Open Source LLM Evaluation Tools
MLflowWebsite: mlflow.org
GitHub: MLflow GitHub
Description: An open-source platform dedicated to the entire machine learning lifecycle, including experiment tracking and model deployment.
OpenAI EvalsWebsite:
Description: A framework for assessing LLMs and related applications, promoting thorough and accurate evaluations.
ChainForgeWebsite: chainforge.ai
GitHub: ChainForge GitHub
Description: An open-source visual programming environment for LLMs, enabling interactive construction and manipulation of data flows.
Commercial LLM Evaluation Tools
AxflowWebsite: axflow.dev
GitHub: Axflow GitHub
Description: A TypeScript framework for AI development, offering tools for building and managing AI applications.
DeepchecksWebsite: deepchecks.com
GitHub: Deepchecks GitHub
Description: Provides continuous evaluation for LLMs and AI models, ensuring their quality and reliability
Guardrails AIWebsite: guardrailsai.com
Description: Offers a solution to ensure the prompt reliability and security of AI systems, essential for dependable LLM functioning.
Hegel AIWebsite: hegel-ai.com
Description: Focuses on simplifying AI deployment and maintenance, streamlining the process for developers and organizations.
OpenPipeWebsite: openpipe.ai
Description: A comprehensive toolkit for prompt engineering, providing resources for efficient and effective LLM interaction.
Prompt FlowWebsite: Microsoft Prompt Flow
Description: A Microsoft tool for managing prompts in LLMs, ensuring a streamlined and efficient workflow in AI development.
promptfooWebsite: promptfoo.dev
Description: Designed for testing and refining prompts, this tool aids in optimizing LLM performance for specific tasks.
RagasWebsite: Ragas Documentation
Description: Provides an environment for prompt generation and testing, crucial for LLM applications in diverse fields.
AgentaWebsite: agenta.ai
Description: Offers a platform for AI agents, enhancing their capabilities and reliability in real-world applications.
AgentOpsWebsite: agentops.ai
Description: A solution focusing on the operational aspects of AI agents, ensuring their efficient and effective deployment.
Anchoring AIWebsite: anchoring.ai
Description: Aims to ground AI agents in real-world contexts, enhancing their understanding and interactions with users.
Arthur BenchWebsite: Arthur AI Bench
Description: A comprehensive tool for benchmarking AI models, providing insights into their performance and areas for improvement.
BenchLLMWebsite: benchllm.com
Description: Specializes in evaluating the performance of LLMs, offering a benchmarking platform for accurate assessments.
DeepEvalWebsite: Confident AI
Description: Provides a framework for deep evaluation of AI models, ensuring their readiness for complex real-world tasks.
Fiddler AIWebsite: fiddler.ai
Description: Focuses on explainability and transparency in AI models, crucial for building trust and understanding in LLM applications.
Phase LLMWebsite: phasellm.com
Description: Offers a phased approach to LLM evaluation, ensuring comprehensive testing and validation at each stage.
Description: Provides a set of preset testing environments and scenarios, streamlining the evaluation process for LLMs.
pykoiWebsite: Cambioml Pykoi
Description: A Python-based toolkit for LLM evaluation, offering a user-friendly interface and comprehensive testing capabilities.
SpellforgeWebsite: spellforge.ai
Description: A platform for crafting and refining LLM prompts, enhancing their effectiveness and precision in various applications.
Tonic AIWebsite: tonic.ai
Description: Specializes in AI model optimization and refinement, ensuring peak performance in diverse use cases.
TruLensWebsite: trulens.org
Description: A tool focusing on the interpretability of AI models, providing insights into their decision-making processes.
AthinaWebsite: athina.ai
Description: Offers a comprehensive platform for AI model evaluation, focusing on accuracy, efficiency, and reliability.
Ingest AIWebsite: ingestai.io
Description: Provides a solution for efficient data ingestion and processing, essential for effective LLM evaluation and deployment.
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LLM ForgeWebsite: llmforge.com
Description: A platform dedicated to the development and testing of LLMs, offering tools for efficient model refinement.
Parea AIWebsite: parea.ai
Description: Assists developers in building production-ready AI applications, focusing on scalability and reliability.
PromptScaperWebsite: promptscaper.com
Description: Designed for prototyping AI agents, this tool facilitates the creation and testing of effective prompts.
RepromptWebsite: reprompt.ai
Description: Enables developers to save time in testing and refining prompts, streamlining the LLM development process.
TestLLMWebsite: testllm.com
Description: Specializes in continuous testing and evaluation of LLMs, identifying weaknesses and areas for improvement.
The LLM TestbenchWebsite: llmtestbench.com
Description: Provides a comprehensive testing environment for LLMs, covering a wide range of scenarios and use cases.
LLM Test SuiteWebsite: llmtestsuite.com
Description: Offers an extensive suite of tests for LLMs, ensuring thorough evaluation across multiple dimensions.
Prompter AIWebsite: prompter.ai
Description: A tool for enhancing prompt engineering, improving the interaction and effectiveness of LLMs in various applications.
