Clara Shih hosts founders/CEOs Aravind Srinivas, Jerry Liu, and Harrison Chase discussing AI tooling, tracking daily query counts, Langchain's connection to external data sources, Llama Index's private data applications, RAG vs. fine-tuning models, challenges in AI model responses, human contractors for model performance, future of education in AI era.
Read more
AI Summary
AI Chapters
Episode notes
auto_awesome
Podcast summary created with Snipd AI
Quick takeaways
Tooling is crucial for efficient LLMs beyond just the models themselves.
Perplexity AI focuses on user segments and daily queries for continual improvement.
Langchain develops post-training expertise and semantic layers for LLM applications.
Deep dives
AI Entrepreneurs Discuss Tooling for LLMs
Entrepreneurs in the AI space emphasize the importance of tooling around LLMs to make them efficient. They highlight the need for workflows beyond the models themselves, comparing them to building a car that requires more than just a motor. This emphasizes the critical role of complementary tools around LLMs to enhance their functionality.
Perplexity AI's Answer Engine and Pro Plans
Perplexity AI's CEO discusses the company's answer engine that aims to change the search paradigm by providing direct answers supported by references. They focus on user segments and user workflows, offering targeted pro plans for knowledge workers. The company's strategic approach involves tracking daily queries as a key metric for continual improvement.
Langchain's Developer Tools for LLM Applications
Langchain's CEO highlights the development of developer tools to facilitate applications powered by LLMs for reasoning. The company focuses on non-deterministic LLMs and the importance of chaining together different logic for developers. Their emphasis is on post-training expertise and incorporating semantic layers for improved application performance.
Llama Index's Mission of Data Insights Synthesis
Llama Index aims to enable developers to build applications leveraging private data sources for reasoning and insights synthesis. The company's focus is on reasoning capabilities coupled with data augmentation for clean, quality data. Their enterprise platform, Llama Cloud, supports context augmentation and retrieval augmented generation.
Future Trends in AI Application Development
Looking ahead, the entrepreneurs foresee advancements in AI models with improved reasoning and planning abilities. They anticipate the emergence of faster models for various tasks, including tiered models based on usage needs. Data representations, personalized applications, and enhanced UX for applications are highlighted as key trends to watch for in the AI landscape.
Clara sits down with the founder/CEOs of three of the hottest AI companies-- Aravind Srinivas (Perplexity AI), Jerry Liu (LlamaIndex), and Harrison Chase (LangChain) to discuss the tooling, data prep, and agility needed to operate and add customer value in the rapidly evolving LLM space.
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