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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,22 @@ | ||
| export const metadata = { sidebar_position: 12, title: "Adaline" }; | ||
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| # Adaline | ||
|
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| [Adaline](https://adaline.ai/) is the single collaborative platform for product and engineering teams to iterate, evaluate, deploy, and monitor prompts for LLMs. | ||
|
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| <div style={{ textAlign: "center" }}> | ||
| <Image | ||
| src="/docs/assets/tooling/adaline.webp" | ||
| width={1200} | ||
| height={891} | ||
| style={{ width: "750px", margin: "auto" }} | ||
| /> | ||
| </div> | ||
|
|
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| ## Features | ||
|
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| 1. Quickly iterate on your prompts in a collaborative playground that supports all the major providers, variables, automatic versioning, and more. | ||
| 2. Confidently ship by evaluating your prompts with a suite of evals like context recall, llm-rubric (LLM as a judge), latency, and more. Let us handle intelligent caching and complex implementations to save you time and money. | ||
| 3. Easily build datasets from real data using Logs, upload your own as a CSV, or collaboratively build and edit within your Adaline workspace. | ||
| 4. Continuously evaluate your completions in production, see how your users are using your prompts, and create datasets by sending logs using our APIs. | ||
| 5. Easily rollbacks if your performance regresses in production, see how your team iterated the prompt, or just know that we automatically version your prompts to avoid any data loss. |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,22 @@ | ||
| export const metadata = { sidebar_position: 12, title: "Adaline" }; | ||
|
|
||
| # Adaline | ||
|
|
||
| [Adaline](https://adaline.ai/) is the single collaborative platform for product and engineering teams to iterate, evaluate, deploy, and monitor prompts for LLMs. | ||
|
|
||
| <div style={{ textAlign: "center" }}> | ||
| <Image | ||
| src="/docs/assets/tooling/adaline.webp" | ||
| width={1200} | ||
| height={891} | ||
| style={{ width: "750px", margin: "auto" }} | ||
| /> | ||
| </div> | ||
|
|
||
| ## Features | ||
|
|
||
| 1. Quickly iterate on your prompts in a collaborative playground that supports all the major providers, variables, automatic versioning, and more. | ||
| 2. Confidently ship by evaluating your prompts with a suite of evals like context recall, llm-rubric (LLM as a judge), latency, and more. Let us handle intelligent caching and complex implementations to save you time and money. | ||
| 3. Easily build datasets from real data using Logs, upload your own as a CSV, or collaboratively build and edit within your Adaline workspace. | ||
| 4. Continuously evaluate your completions in production, see how your users are using your prompts, and create datasets by sending logs using our APIs. | ||
| 5. Easily rollbacks if your performance regresses in production, see how your team iterated the prompt, or just know that we automatically version your prompts to avoid any data loss. |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,22 @@ | ||
| export const metadata = { sidebar_position: 12, title: "Adaline" }; | ||
|
|
||
| # Adaline | ||
|
|
||
| [Adaline](https://adaline.ai/) is the single collaborative platform for product and engineering teams to iterate, evaluate, deploy, and monitor prompts for LLMs. | ||
|
|
||
| <div style={{ textAlign: "center" }}> | ||
| <Image | ||
| src="/docs/assets/tooling/adaline.webp" | ||
| width={1200} | ||
| height={891} | ||
| style={{ width: "750px", margin: "auto" }} | ||
| /> | ||
| </div> | ||
|
|
||
| ## Features | ||
|
|
||
| 1. Quickly iterate on your prompts in a collaborative playground that supports all the major providers, variables, automatic versioning, and more. | ||
| 2. Confidently ship by evaluating your prompts with a suite of evals like context recall, llm-rubric (LLM as a judge), latency, and more. Let us handle intelligent caching and complex implementations to save you time and money. | ||
| 3. Easily build datasets from real data using Logs, upload your own as a CSV, or collaboratively build and edit within your Adaline workspace. | ||
| 4. Continuously evaluate your completions in production, see how your users are using your prompts, and create datasets by sending logs using our APIs. | ||
| 5. Easily rollbacks if your performance regresses in production, see how your team iterated the prompt, or just know that we automatically version your prompts to avoid any data loss. |
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