Lavita AI AMA

Lavita AI・2 minutes read

Lavita focuses on putting patients first by providing access and control over health data, leveraging AI models like Llama 3.1 for personalized health data, and encouraging user participation while prioritizing data security and privacy. They aim to evaluate large language models in real-time with experts and users to improve medical question answering quality and engage the community through various initiatives and partnerships.

Insights

  • Lavita prioritizes user control and privacy, allowing individuals to access and manage their health data securely while creating communities to monetize data for research, emphasizing user-centric design and functionality.
  • Lavita focuses on evaluating large language models in real-time through the Medical Evaluation Sphere, engaging medical experts and users to rank models based on performance metrics, aiming to provide insights into model strengths and weaknesses in the medical domain and ensuring statistically significant results.

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Recent questions

  • What is Lavita's primary focus?

    Putting patients first, providing personalized health data access.

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Summary

00:00

Lavita's First Live AMA with AI Lead

  • Lavita is hosting its first live AMA session with Pedram, the AI lead, and engineers and scientists behind the scenes.
  • The session will include updates, insights, and Q&A with the community, divided into different sections.
  • The focus of Lavita is on putting patients and individuals first, providing access and control over their health data while ensuring privacy.
  • Lavita aims to connect various health data sources like electronic health records, genetic records, and medical images to provide personalized health data.
  • Users can create communities and monetize their data securely, enabling research and studies that benefit individuals financially.
  • Lavita has launched the Health Data platform for Beta users to connect EHR providers and access data from over 400 providers in the US.
  • The Medical AI Assist product offers advanced AI models for personalized health data access and evaluation.
  • Lavita introduced the Medical Evaluation Sphere, a unique tool for comparing models and collaborating with research institutions.
  • The platform allows users to interact with their health information, including lab results, genetic data, and EHR documents.
  • Lavita plans to leverage state-of-the-art large language models like Llama 3.1 and integrate them into their platform for improved capabilities and growth.

18:19

Advancements in Medical Language Model Evaluation

  • Leveraging recent methods like Rack or retrieval augmented generation to address hallucination problems in large language models.
  • Emphasizing the importance of balancing better models with recent methods for improved medical question answering quality.
  • Encouraging exploration of a paper titled "Do We Still Need Clinical Language Models" published in 20203 for insights on domain-specific models.
  • Highlighting the necessity of evaluating smaller scale models despite advancements in larger language models like GPT3.
  • Focusing on understanding the strengths and limitations of current methods and models in medical evaluation.
  • Mentioning challenges in developing new large language models, particularly in the medical AI domain.
  • Introducing plans for webcasts or podcasts to share the latest advancements in academia and entrepreneurship within the community.
  • Launching the Lita data platform for beta users to connect to EHR and earn Lita tokens.
  • Adapting the roadmap to the fast-paced AI field, with updates throughout the year to incorporate the latest technologies.
  • Ensuring data security and privacy on the Lita platform by allowing users to control their data with encryption and on-device intelligence.

33:00

"Community-owned AI models prioritize user collaboration"

  • Working on open-source community-owned large language models
  • Focusing on fine-tuning instructions on L assist and data platform
  • Strategic approach to patent protection for secure computing workflows
  • Prioritizing research collaboration over patent publication
  • Goal is community benefit and user participation
  • Emphasis on research papers, collaboration with academia, and technical reports
  • Platform prioritizes user and community usefulness over monetization
  • Leading in AI language models, security, and privacy technologies
  • Seeking partnerships with research institutions and technology companies
  • Open to blockchain partnerships, focusing on longevity and community support
  • Staking tokens for long-term benefit and community support
  • Listing on exchanges based on data velocity, not token velocity
  • Updating UI design for Lita AI assist and medical evaluation sphere
  • Prioritizing user feedback and improving usability for users
  • Focus on making data and platform accessible and user-friendly
  • Emphasizing the importance of user-centric design and functionality
  • Plans for scaling user onboarding based on different country regulations.

48:05

"Laita Data Platform: Global Expansion and Evaluation"

  • The Laita data platform is in beta with the first release exclusive to the US due to the engineering team's location there.
  • International expansion is a focus, with presentations and discussions ongoing in Asia, particularly in Korea, Singapore, Malaysia, Australia, and Europe.
  • Europe poses challenges due to strict data protection regulations, requiring careful entry into the market to ensure compliance.
  • User data ownership and control are fundamental, influenced by US regulations allowing users to manage their data, a principle Laita adheres to globally.
  • Compliance with regulations is a priority for Laita's rapid and large-scale growth, while also targeting early adopters within web3 communities.
  • The Medical Evaluation Sphere aims to evaluate large language models in real-time, involving medical experts and general users in the process.
  • Evaluation results show the performance of different models, with the Metal Llama 370 billion parameter model leading in the competition.
  • The evaluation includes an ELO rating system to rank models based on their performance against each other, with Metal Llama 370 billion leading in this aspect as well.
  • The evaluation process involves data analysis, including battles between models, user preferences, and model performance metrics.
  • The platform aims to engage more users to ensure statistically significant results and provide insights into the strengths and weaknesses of large language models in the medical domain.

01:03:00

Lavita's Global Healthcare Initiative: Accessible and Innovative

  • Lavita's global healthcare initiative aims to be accessible to all, including early adopters, with a focus on partnerships, such as with Samsung Health wearables.
  • The integration of wearables data is a key component of Lavita's health platform, with plans for potential partnerships with companies like Samsung and Apple.
  • Lavita is engaging with the community through initiatives like beta testing, AMA sessions, and medical AI webcasts to keep users updated on the latest developments in the fast-moving field of healthcare technology.
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