Deepchecks LLM Evaluation vs Semantic Kernel
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Continuously validate your LLM-based application throughout the entire lifecycle from pre-deployment and internal experimentation to production. | It is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. It achieves this by allowing you to define plugins that can be chained together in just a few lines of code. |
LLM evaluation;
Real-time monitoring;
Simplify compliance with AI-related policies, regulations, and soft laws | SDK that integrates LLMs with conventional programming languages;
Has the ability to automatically orchestrate plugins with AI;
Highly extensible |
Statistics | |
GitHub Stars - | GitHub Stars 26.6K |
GitHub Forks - | GitHub Forks 4.3K |
Stacks 0 | Stacks 6 |
Followers 0 | Followers 4 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Deepchecks LLM Evaluation, Semantic Kernel?
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It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
Ollama
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LlamaIndex
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LangGraph
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LangSmith
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