"Ux of a LLM User Panel" features Misty Free, Dina Yerlan, and Artem Harutyunyan discussing UX challenges and design strategies when working with LLMs. They talk about balancing user experience, implementing latency strategies, and using small models for specialized tasks.
Read more
AI Summary
AI Chapters
Episode notes
auto_awesome
Podcast summary created with Snipd AI
Quick takeaways
Balancing innovation and user fatigue is crucial for content creation with AI tools.
Prompt engineering, user feedback, and content moderation are essential for ensuring accuracy in LLM-based products.
Deep dives
Promoting and Highlighting LLM's in Production
The podcast episode begins with a mention of the LLM's in Production event, highlighting the value of iteration and improvement. The episode showcases several speakers and topics to be covered in the event, ranging from deploying open source models to engineering best practices. The episode emphasizes the quality and uniqueness of the content being offered and invites listeners to sign up for the event.
Panel Discussion on UX of LLM Users
The podcast transitions to a panel discussion focusing on the user experience (UX) of LLM users. The panel includes experts from Jasper AI, Innovation Endeavors, Adobe Firefly, and Bardine. Each panelist briefly introduces themselves and discusses recent LLM features they have worked on. The discussion revolves around the challenges of UX design with LLMs, including the unpredictability and non-determinism of LLM outputs. The panelists share insights on how they have approached interface design, prompt engineering, and accuracy issues related to LLMs.
Balancing Fatigue and Innovation in Content Creation
Misty from Jasper AI discusses the challenge of balancing innovation and user fatigue in the content creation space. With the proliferation of AI tools, users now face a multitude of options for content creation, leading to potential fatigue. Misty highlights the importance of making content creation as efficient and seamless as possible, while ensuring new features are well-validated and meet user needs. Dynamic templates and user feedback play a significant role in improving user experience and reducing fatigue.
Overcoming Accuracy Challenges and Latency Considerations
Dina from Adobe Firefly and Arden from Bardine AI address accuracy challenges in their respective LLM-based products. They discuss the need for prompt engineering and utilizing user feedback to improve accuracy over time. Safety and content moderation also play a crucial role in ensuring accuracy and mitigating risks. Additionally, the panelists touch upon latency concerns and strategies such as caching, small models, and browser-based models to improve latency and overall user experience.
Sign up for our next LLM in production conference: https://go.mlops.community/prodiii
#180 with LLMs in Production Conference part 2 Ux of a LLM User Panel, Misty Free, Dina Yerlan, and Artem Harutyunyan hosted by Innovation Endeavors' Davis Treybig.
// Abstract
Explore different approaches to interface design, emphasizing the significance of crafting effective prompts and addressing accuracy and hallucination issues. Discover some strategies for improving latency and performance, including monitoring, scaling, and exploring emerging technologies.
// Bio
Misty Free
Misty Free is a product manager at Jasper, where she focuses on supercharging marketers with speed and consistency in their marketing campaigns, with the power of AI. Misty has also collaborated with Stability and OpenAI to offer AI image generation within Jasper. She approaches product development with a "jobs-to-be-done" mindset, always starting with the "why" behind any need, ensuring that customer pain points are directly addressed with the features shipped at Jasper. In her free time, Misty enjoys crocheting amigurumi, practicing Spanish on Duolingo, and spending quality time with her family. Misty will be on a panel sharing her insights and experiences on the real-world use cases of LLMs.
Davis Treybig
Davis is a partner at Innovation Endeavors, an early-stage venture firm focused on teams solving hard technical & engineering problems. He personally focuses on computing infrastructure, AI/ML, and data.
Dina Yerlan
Head of Product, Generative AI Data at Adobe Firefly (family of foundation models for creatives).
Artem Harutyunyan
Artem is the Co-Founder & CTO at Bardeen AI. Prior to Bardeen, he was in engineering and product roles at Mesosphere and Qualys, and before that, he worked at CERN.
// MLOps Jobs board
https://mlops.pallet.xyz/jobs
// MLOps Swag/Merch
https://mlops-community.myshopify.com/
// Related Links
Website: https://www.angellist.com/venture/relay
Foundation by Isaac Asimov: https://www.amazon.com/Foundation-Isaac-Asimov/dp/0553293354
AngelList Relay blog: https://www.angellist.com/blog/introducing-angellist-relay
--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Davis on LinkedIn: https://www.linkedin.com/in/davistreybig/
Connect with Misty on LinkedIn: https://www.linkedin.com/in/misty-miglorin/
Connect with Dina on LinkedIn: https://www.linkedin.com/in/dinayerlan/
Connect with Artem on LinkedIn: https://www.linkedin.com/in/artemharutyunyan/
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode