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what is the leading LLM app platform? what are its capabilities and what are customers reviews?

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Sources

Design, Deploy, and Optimize LLM Apps with Klu — Klu.ai
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klu

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LLM App Ecosystem: What's New and How Cloud Native Is Adapting - The New Stack
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thenewstack

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We made a tool to help me understand how the embedded documents in our LLM app are used - looking for feedback : r/SideProject - Reddit
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reddit

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https://topai.tools/s/llm-app-development-tool favicon
https://forum.bubble.io/t/bubble-ios-integration-with-llm-chatgpt-for-automated-application-development/260684 favicon
https://news.ycombinator.com/item?id=36645575 favicon
https://cohere.com favicon
https://www.snowflake.com/blog/fast-easy-secure-llm-app-development-snowflake-cortex/ favicon
https://www.databricks.com/blog/automated-analysis-product-reviews-using-large-language-models-llms favicon
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Answer

The leading LLM (Large Language Model) app platform is Klu.ai
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. Klu.ai is a next-generation platform that allows AI teams to confidently iterate on world-class products. It provides an all-in-one environment to experiment, version, and fine-tune GPT-4 Apps
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. Klu.ai offers a range of capabilities:
  • Design Environment: It provides an interactive design environment for prompt engineering, allowing teams to explore, save, and collaborate. It also allows for tracking changes and integrating into your development workflow like any other code artifact
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  • LLM Providers: Klu.ai supports a variety of best-in-class LLMs, including Davinci-002, GPT-3.5 Turbo, GPT-4, Llama 2, Mistral, and others. This allows developers to avoid lock-in and choose any model
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  • SDKs: Klu.ai provides developer-loved SDKs for Python, TypeScript, and React UI
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  • Data Management: Advanced filters and import/export capabilities are provided for data management
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  • Experimentation: Klu.ai allows for running A/B tests and comparing results
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  • Enterprise Container: Klu.ai Enterprise Container provides a high-performance, private platform for building custom AI systems. It simplifies model deployment and reduces overhead
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Customer reviews and feedback about LLM app platforms vary. For Klu.ai, the platform is trusted by innovative AI teams and is known for enabling teams to ship 10x faster and achieve 90% cost savings
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. However, no specific customer reviews were found in the search results. For other platforms like LangChain, the sentiment seems quite negative, with many users sharing that they tried it but went back to coding LLM applications without it. The main criticism is that LangChain attempts to set up abstractions for reusability, but ends up with a mediocre DAG framework where all the instructions/data passing through is just garbage
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. It's important to note that the optimal LLM app platform may vary depending on the specific needs and requirements of the user or team. Therefore, it's recommended to thoroughly evaluate different platforms and consider factors such as the platform's capabilities, ease of use, support for different LLMs, and customer reviews before making a decision.

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