Video Transcript

# Adaline: Revolutionizing AI-Powered Team Building with Large Language Models ## Introduction [0:01] Hello, this is Arsh from Adaline. Adaline is a revolutionary platform for teams building with large language models (LLMs). Our solution is designed for teams that want to iterate quickly within a collaborative environment. Adaline helps you save time and money by running AI-powered tests on thousands of rows of data, allowing you to ship confidently using logs and continuous testing. ## Key Features of Adaline ### Project Setup and Prompt Engineering [0:26] When you first set up Adaline, you'll be greeted by a project interface. On the left side, you'll find your main prompt, which can be considered the source code of your AI application. Adaline supports structuring prompts as chat threads between different roles, compatible with all major providers and models. [0:48] Adaline offers flexibility in model selection, allowing you to switch between OpenAI, Anthropic, and Google's Gemini. You can fine-tune model parameters such as temperature and stop sequences to optimize performance. [0:59] Prompt editing is intuitive, with the ability to add variables using single curly braces. These variables can represent context generated by your Retrieval-Augmented Generation (RAG) pipeline or user questions. ### Playground and Version Control [1:12] Our sample project demonstrates how to incorporate context and user questions to generate answers with relevant quotes. Running the playground is as simple as hitting Command+Enter. [1:23] Adaline automatically creates version history for your prompts, allowing easy restoration with a single click. This feature is invaluable for tracking changes and reverting to previous versions when needed. ### Evaluations (evals) [1:34] Once you're satisfied with your prompt's performance, you can move on to the evaluations (evals) section. Adaline provides intelligent evals like context recall, which uses AI to verify that the model's answers can be attributed to the context generated by your RAG pipeline. [1:55] We also offer LLM-powered rubrics, sometimes referred to as "LLM as a judge," to grade your model's output. For instance, you can use AI to check if the output contains references to the user's question. [2:12] In addition to AI-powered evals, Adaline supports heuristic-based evaluations. Examples include checking response latency (e.g., ensuring responses are generated within 4 seconds) and content filtering (e.g., avoiding specific words like "AI" or "assistant" in the output). ### Debugging and Iteration [2:29] Adaline's powerful debugging tools allow you to quickly identify and address issues. You can filter evaluation results to focus on failing tests and dive deep into specific examples. [3:02] When you identify areas for improvement, you can easily iterate on your prompt within the playground. After making changes, you can run a full regression test to see how your updates have impacted overall performance across all evaluations. ### Production Logs and Analytics [3:19] Adaline provides comprehensive logging capabilities, allowing you to send completions generated in production for evaluation against your established criteria. This feature ensures that your AI model maintains high performance in real-world scenarios. [3:39] You can select specific logs to create a golden dataset, which can be used for future regression testing with just one click. [3:52] The analytics dashboard offers valuable insights into your model's performance, including: - Number of inferences generated over time - Average evaluation scores - Cost metrics - Token usage statistics Adaline can send Slack notifications if your model's performance dips below specified thresholds, enabling proactive monitoring and maintenance. ## Conclusion [4:09] Adaline is the go-to platform for teams aiming to build superior AI experiences. Our tools empower you to iterate quickly and ship with confidence. Join the ranks of industry leaders like HubSpot, Discord, Spotify, and McKinsey who trust Adaline to optimize their AI workflows. By leveraging Adaline's comprehensive suite of features, including prompt engineering, version control, intelligent evaluations, production logging, and advanced analytics, your team can stay ahead of the competition in the rapidly evolving field of AI-powered applications. Experience the power of Adaline today and transform how you develop, deploy, and monitor your LLM-based solutions.