Daily & Groq: Real-time AI Enterprise Voice Workflow – Patient Intake Use Case on Llama 3.1 405B

Groq
23 Jul 202405:43

TLDRGroq and Daily have partnered with Meta to showcase the capabilities of Llama 3.1 45 billion, a voice AI technology for healthcare. The demonstration includes a patient intake workflow using Llama 3.1, which collects patient information such as allergies, medications, and symptoms. This AI application in healthcare provides a more efficient and up-to-date method for patient care. The system requires a powerful language model, fast response times, and developer tools for complex workflows. Groq's Llama 3.1 offers advanced reasoning, human-like conversational speed, and flexible AI workflows, opening up new possibilities for voice AI applications in various fields.

Takeaways

  • 🤝 Groq and Daily are partnering with Meta to showcase advanced voice AI capabilities.
  • 🦙 The demonstration features Llama 3.1, a 45 billion parameter model, running on high-performance hardware.
  • 🗣️ The AI voice agent in the patient intake workflow can converse naturally and respond in real-time.
  • 💡 Llama 3.1 uses advanced reasoning abilities to handle open-ended conversations and perform agentic actions.
  • 🔍 Fast response times are achieved through Gro Cloud's optimized implementation of the 45 billion parameter model.
  • 🛠️ Developers can build complex workflows using Daily's real-time network and open-source AI workflow tooling.
  • 🏥 Healthcare providers can benefit from more complete and up-to-date patient information through voice AI applications.
  • 💊 The AI can collect structured data such as patient allergies and medication dosages during the intake process.
  • 📚 The core workflow involves converting speech to text, adding it to conversation history, and processing it through the LLM.
  • 🌐 The demo illustrates how voice-to-AI experiences are the next frontier in AI product development, with applications in healthcare, education, and consumer services.
  • 📘 Interested parties can explore more about building with Daily and Gro by visiting get.new.aai.

Q & A

  • What is the partnership between Groq and Daily about?

    -Groq and Daily are partnering with Meta to showcase the latest voice AI capabilities, specifically the Llama 3.1 45 billion model running on advanced hardware.

  • Who is the speaker in the transcript?

    -The speaker is Amanda from Groq, who introduces the partnership and the capabilities of the Llama 3.1 45 billion model.

  • What is the purpose of the voice AI demonstration with Jamie from Tri-County Health Services?

    -The purpose is to demonstrate a patient intake use case, where the AI collects patient information such as allergies, medications, and symptoms.

  • What are the requirements for voice AI applications in healthcare as mentioned in the script?

    -The requirements include a capable large language model, fast response times, and developer tools to build complex workflows.

  • What does Llama 3.1 45 billion offer for voice AI applications?

    -Llama 3.1 45 billion offers advanced reasoning abilities for open-ended conversation, fast response times for human conversational speed, and flexible AI workflows.

  • How does the AI handle the collection of structured data during the patient intake workflow?

    -The AI uses function calls represented by JSON objects to collect structured data, such as allergies, which is then saved in the patient's medical record.

  • What is the significance of the real-time network and open-source AI workflow tooling in the patient intake demo?

    -The real-time network and open-source AI workflow tooling enable the development of agentic audio workflows, which are crucial for real-time patient interaction and data collection.

  • What is the core component of the workflow implemented on top of the open-source real-time voice inference SDK?

    -The core component is the ability to handle both text responses and function calls from the large language model, allowing for the collection and storage of structured data.

  • How does the AI ensure the accuracy of the patient's medication dosage during the intake?

    -The AI prompts the user to check the medication bottle and provides time for the user to verify and provide the correct dosage information.

  • What is the final step mentioned for the patient intake workflow?

    -The final step is for the AI to finalize everything for the doctor's visit after collecting all the necessary patient information.

  • What is the potential impact of using Groq's Llama 3.1 powered voice in healthcare and other sectors?

    -The use of Groq's Llama 3.1 powered voice can lead to more complete and up-to-date patient information for healthcare providers and offer new ways for patients to access information and care, with the potential to revolutionize product development in healthcare, education, and consumer services.

Outlines

00:00

🤖 Voice AI in Healthcare: Gro's Llama 3.1 Demo

The first paragraph introduces Amanda from Grock, who presents a partnership with Meta to showcase Gro's Llama 3.1, a 45 billion parameter AI model, in a healthcare setting. The demo involves a voice AI system, named 'Llama 3.1 powered voice', conducting a patient intake interview with a user named Chad. The system confirms identity, gathers information on medications, dosages, allergies, and existing medical conditions, and addresses the patient's concerns about an injury. The AI application is highlighted for its ability to provide healthcare providers with comprehensive patient information and offer patients new avenues for accessing care. The paragraph also outlines the requirements for such AI applications: a capable large language model, fast response times, and developer tools for complex workflows. Gro Cloud's optimized implementation and Daily's real-time network and open-source AI workflow tooling are mentioned as the enabling technologies.

05:01

🌐 Gro and Daily: Advancing Voice AI Applications

The second paragraph focuses on the collaboration between Gro and Daily to advance voice AI applications. It emphasizes the capabilities of the Llama 3.1 45 billion model for open-ended conversation and agentic action sequences. The paragraph describes the workflow of a basic voice AI, from listening to the user, converting speech to text, and using a large language model (LLM) to generate responses. For complex workflows like patient intake, the model is configured for function calling, allowing it to handle structured data collection through JSON objects. The core code for implementing such a workflow on the open-source real-time voice inference SDK is mentioned. The paragraph concludes by inviting product teams to explore the possibilities of building next-generation applications in healthcare, education, and consumer services with Gro's advanced voice AI capabilities.

Mindmap

Keywords

💡Grock

Grock is a company that is mentioned as a partner in the video script, working alongside Daily and Meta to showcase advanced voice AI capabilities. It is integral to the video's theme as it represents one of the entities collaborating to bring forth innovative AI technology in the healthcare sector. In the script, Groq's Llama 3.1 is highlighted as a powerful tool that enables real-time AI enterprise voice workflows.

💡Llama 3.1 45 billion

Llama 3.1 45 billion refers to a version of a large language model with advanced reasoning abilities. It is a key component in the video's demonstration of AI's capabilities in patient intake workflows. The '45 billion' likely denotes the number of parameters the model has, indicating its complexity and capacity for understanding and generating human-like responses, as seen in the interaction with 'Chad' during the patient intake process.

💡Voice AI

Voice AI, or Artificial Intelligence that operates through voice interaction, is central to the video's narrative. It showcases how voice-activated AI can be utilized in healthcare for tasks such as patient intake, making the process more efficient and user-friendly. The script illustrates this with a dialogue where the AI assistant confirms patient details and medical history through voice interactions.

💡Meta

Meta, in the context of this video, is a partner collaborating with Groq and Daily to advance voice AI technology. The mention of Meta suggests a collaboration with a well-known technology company, reinforcing the video's message about the convergence of different tech entities to push the boundaries of AI in enterprise applications.

💡Patient Intake

Patient intake is a process where patients provide personal and medical information to healthcare providers. In the video, it is depicted as being streamlined and enhanced by the use of Voice AI, allowing for more efficient data collection and better patient care. The script provides an example of this process, where the AI assistant gathers information from 'Chad' about his medications, allergies, and reasons for the doctor's visit.

💡Real-time AI Enterprise Voice Workflow

This term refers to the use of AI in a business setting to manage voice interactions in real-time. The video emphasizes the efficiency and immediacy of responses provided by the AI system, which is crucial for applications like patient intake where timely and accurate information is essential. The script demonstrates this with a seamless interaction between the AI and the patient.

💡Healthcare Providers

Healthcare providers are medical professionals who offer services to patients. The video script highlights how Voice AI applications can provide these providers with more complete and up-to-date information about their patients, thereby enhancing the quality of care. The patient intake use case exemplifies how this technology can be a valuable tool for healthcare providers.

💡Structured Data

Structured data in the context of the video refers to information that is organized in a specific format, making it easier to process and analyze. The script mentions function calls from the LLM that generate JSON objects, which represent structured data collected during the patient intake, such as allergies and medications.

💡Developer Tools

Developer tools are software and services that assist in the creation of applications. The video mentions Daily's real-time network and open-source AI workflow tooling as examples of such tools that enable developers to build complex workflows for voice AI applications, which are vital for the functionality demonstrated in the patient intake scenario.

💡Open-ended Conversation

Open-ended conversation is a dialogue that is not restricted and allows for a wide range of topics and responses. The video script illustrates this concept through the AI's ability to engage in natural language interactions with the patient, enabling a more human-like and flexible conversation flow.

💡Human Conversational Speed

This term refers to the speed at which humans typically converse with one another. The video emphasizes the importance of fast response times in Voice AI, aiming to match this natural speed to make interactions feel more seamless and comfortable for the user, as demonstrated in the patient intake dialogue.

Highlights

Grock and Daily are partnering with Meta to showcase the latest in voice AI capability.

Llama 3.1 45 billion is running on the best hardware in the world.

The demonstration of Groq's Llama 3.1 powered voice for patient intake use case.

AI applications in healthcare provide more complete and up-to-date patient information.

Voice AI applications require a capable large language model, fast response times, and developer tools.

Llama 3.1 45 billion has advanced reasoning abilities for open-ended conversations.

Gro Cloud's optimized 405 billion implementation delivers human conversational speed responses.

Daily's real-time network and open-source AI workflow tooling powers agentic audio workflows.

A basic voice-to-AI workflow involves listening, converting speech to text, and using an LLM.

Complex workflows like patient intake require function calling and structured data collection.

The core code for the workflow is implemented on the open-source real-time voice inference SDK.

Llama 3.45 billion offers fast voice response times and natural language conversational ability.

Voice AI applications are the next frontier of AI product development in various fields.

Groq's Llama 3.1 powered voice provides advanced building blocks for next-generation applications.

To build with Daily and Groq, visit get.new.aai to see what innovative creations are possible.

The potential of Llama 3.1 45 billion in healthcare, education, and consumer services is highlighted.

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