Lateral vs Openlayer
Overview
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CLI (Node.js)
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Detailed Comparison
Delight your users with personalised content recommendations. It's easy to set up and works with or without collaborative data. The Lateral API is trained on 10s of millions of high quality documents from law, academia and journalism. It can understand any document and provide intelligent recommendations. | It is an evaluation tool that fits into your development and production pipelines to help you ship high-quality models with confidence. Treat your LLM product like traditional software development. |
| - | Get alerts every time your AI fails;
Powerful testing, evaluation, and observability for LLMs;
Monitor with real-time alerts;
Track and version |
Statistics | |
Stacks 3 | Stacks 0 |
Followers 16 | Followers 1 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to Lateral, Openlayer?
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GraphLab Create
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Clever AI Humanizer
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LangChain
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
It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.
LangGraph
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BigML
BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.
LangSmith
It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.
