Feedback Collection

Here’s what an expert from the Azure AI team has to say in regards to collecting end user feedback in AI systems: https://www.youtube.com/watch?v=O9O_O8z_cMM

Not collecting feedback is one of the teams' biggest mistakes when adding AI. In a traditional software system, programming outputs are deterministic. That is, for a given set of inputs, the output is always the same. With Generative AI, it’s different. Even when the inputs are the same, the outputs may vary - that is, the outputs are probabilistic.

Collecting feedback in traditional software systems is essential but not a necessity. In systems that use Generative AI, because of the probabilistic nature, it becomes a necessity. It becomes incredibly important to keep track of every output that is being sent to the end users, so you can understand how the AI is behaving. This can help you better the system over time, or even simply for audit and compliance reasons.

Feedback Collection via API

Collecting and managing user feedback is a critical feature of any AI implementation, and Hyperleap has a comprehensive way to collect, audit, and aggregate it.

Hyperleap AI has a built-in easy-to-use feedback collection feature available via API, that is also used within the admin console. When used via the API, it seamlessly integrates into prompt runs and conversational outputs.  With the help of custom feedback collection features and AI integrations, businesses can now leverage the API stack that Hyperleap provides to collect and analyze user feedback, leading to continuous improvement.

Integrated Memory

ChatGPT has contextual awareness throughout a conversation. But the same isn’t possible when interacting with any Large Language Model directly from within your apps or workflows. Since LLMs do not come with memory built-in, it becomes the responsibility of the system talking to the LLM. This is a huge bottleneck for any enterprises that are simply looking to add AI goodness to their organizations.

Hyperleap AI, with a powerful high-performant data store helps you maintain your conversation with LLMs with ease. With built-in storage for prompt runs and conversation history, it creates a cohesive AI experience that you can bank on for AI implementation. With Hyperleap, you don’t have to worry about dealing with memory and passing in the right contexts. In the console, you simply interact with any AI model of your choice. And with the API, each and every aspect of the conversation can managed, with standardized signatures that works with any underlying LLM the same way.

Feedback Mechanisms

A cornerstone of Hyperleap AI, this system allows for nuanced feedback on AI interactions, prompt responses, or elaborate conversations. It collects numerical scores and textual feedback, paving the way for creating a fine-tuned AI model that evolves and improves over time.

1. Granular Insights for Every Message: Hyperleap AI values each interaction. Our platform allows for capturing real-time feedback at the most detailed level, providing businesses with profound insights into user interactions and engagements. Every Generative AI message we believe is an opportunity for growth and improvement.
2. Diverse Feedback Tools for Comprehensive Understanding: Our platform supports various feedback options, including thumbs up/down, numerical ratings, and text responses. This versatility ensures a comprehensive understanding of user preferences and experiences.
3. Comprehensive Feedback Recording Across All AI Outputs: Hyperleap AI's feedback feature is not limited to conversational outputs. It encompasses all AI outputs, providing a holistic picture of user interaction and satisfaction. This approach enables businesses to refine all aspects of their AI-driven services.

Business Value Proposition

• Enhanced User Experience: By responding to user feedback in a timely manner, businesses can improve and customize their AI interactions to meet specific user needs, leading to increased satisfaction and loyalty.
• Data-Driven Decision Making: Insights from user feedback empower businesses to make informed decisions, ensuring that AI strategies align with user preferences and market trends.
• Continuous AI Improvement: The ability to collect and analyze feedback continuously leads to iterative improvements in AI models and prompts, keeping services at the forefront of technology.
• Increased ROI: Continuous refinement of AI interactions based on user feedback optimizes AI investments, leading to quicker and more substantial returns.
• Competitive Advantage: Rapid adaptation of AI services based on user feedback offers a personalized and practical user experience, keeping you ahead in the market.

By embracing the transformational power of Hyperleap AI's Feedback Collection feature, you can leverage real-time insights and continuous improvement in your business that can unlock the full potential of AI. Over time, this leads to smarter decision-making, enhanced user experiences, and a significant competitive edge.

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