
Infinite Curiosity Pod with Prateek Joshi
The best place to find out how AI builders build. The host Prateek Joshi interviews world-class AI founders and VCs on this podcast. You can visit prateekj.com to learn more about the host.
Latest episodes

Jul 27, 2023 • 17min
Prateek talks about 9 steps to do customer discovery for AI products
Doing customer discovery is a critical skill that founders need to develop in the early stages of their AI startup's journey. In this episode, the host Prateek Joshi talks about 9 steps to do customer discovery for AI products. --------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi

7 snips
Jul 24, 2023 • 28min
Vector databases x Vertical AI | Andre Zayarni (cofounder/CEO of Qdrant) and Karthik Dinakar (cofounder/CTO of Pienso)
Andre Zayarni is the cofounder and CEO of Qdrant, an open-source vector database company. He was previously the CTO of MoBerries building a next generation HR product based on AI and Real-time. He's been building software products for 20+ years. Karthik Dinakar is the cofounder and CTO of Pienso, an interactive AI platform anyone can use to turn text data into insights without requiring any coding. He has a PhD in Machine Learning from MIT. He has held roles at MIT Media Lab, Microsoft, and Deutsche Bank. In this episode, we cover a range of topics including: - Why do we need vector databases? - What type of applications need a vector database? - When choosing a vector database, what characteristics should a developer look for? - What are the building blocks of generative AI applications? - What can LLMs do well and where are the gaps? - What LLM applications are being built in the enterprise? - Retrieval Augmented Generation - What's the importance of vector databases in vertical AI? --------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi

Jul 20, 2023 • 19min
Prateek talks about Federated Learning
In this episode, the host Prateek Joshi talks about why we need Federated Learning, how it works, and where it's used in the real world. --------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi

Jul 17, 2023 • 1h 2min
AI x DevOps, Open source AI, Data infrastructure | Timothy Chen, General Partner at Essence VC
Timothy Chen is the founder and general partner at Essence Ventures, a VC firm that specializes in data infrastructure and developer tools. Prior to Essence, he was the SVP of Engineering at Cosmos, a popular open source blockchain SDK. He cofounded Hyperpilot with Stanford Professor Christos Kozyrakis to disrupt the enterprise infrastructure space, which later exited to Cloudera. He was an early employee at Mesosphere and CloudFoundry. He is also active in the open source space as an Apache member.In this episode, we cover a range of topics including: - Using LLMs for devops work - Open source AI - How to spot open source investment opportunities - Data infrastructure opportunities - AI infrastructure opportunities - Security and privacy Timothy's favorite book: Behind The Cloud (Author: Marc Benioff)--------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi

Jul 13, 2023 • 19min
Prateek talks about 11 things to keep in mind for software engineers to get into AI
Learn how software engineers can transition into the field of AI by building their profile, preparing for interviews, and understanding the expectations of an AI practitioner. Develop expertise in specific tools, learn statistics, work efficiently with data, and build functional applications. Explore the importance of building functioning AI systems, writing about AI concepts, and reaching out to companies for job opportunities. Stand out during interviews by demonstrating initiative and building actual systems. Be passionate and knowledgeable about a specific project, role, or company in software engineering, and determine if the AI role is the right fit.

Jul 10, 2023 • 41min
Generative AI stack, Android moment of AI, Data infrastructure | Jon Turow, Partner at Madrona
Jon Turow is a partner at Madrona, a VC firm that has invested in amazing companies like OctoML, HighSpot, Fixie, Clari, Runway, UiPath, and many more. He holds 26 patents! Most recently, he led the product teams for AWS Computer Vision AI services, including Amazon Textract and Amazon Rekognition. He wrote the original product and business plans for AWS IoT and AWS Greengrass, which extend AWS services to run locally on edge devices. Prior to Amazon, he co-founded a cloud telephony startup. He holds a bachelor's from Wharton and an MBA from Kellogg. In this episode, we cover a range of topics including: - The Generative AI stack- Application frameworks for developers- Using a combination of multiple foundation models- Data tooling for AI applications- Making LLMs faster/better/cheaper- The Android moment of AI- Open source AI opportunities- AI copilots for software development- What use cases within AI infrastructure are exciting to youJon's favorite book: Night Flight (Author: Antoine de Saint-Exupéry)--------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi

Jun 26, 2023 • 39min
AI x Robotics | Sam Baker, investor at Scale Venture Partners
Sam Baker is an investor at Scale Venture Partners, a VC firm that has invested in amazing companies such as HubSpot, DocuSign, Box, Bill.com, Root Insurance, and many more. He was named to Business Insider's list of Rising Stars in Venture Capital. Prior to joining Scale, he was a Growth Manager at Tilt.com that was acquired by Airbnb. Before that, he worked at Box. He began his career at Glouston Capital Partners, an investment firm focused on private equity and venture capital secondaries. In this episode, we cover a range of topics including: - Robotics use cases in the warehouse, what functions can be automated - Why is the focus shifting to platforms - Why is the supply chain industry defined by exception handling and what can be done to address it - Collaboration between humans and machines - Robotics in the construction industry - Robotics in the restaurant industry - Startup trends within AI + robotics Sam's favorite books: - Pour Your Heart Into It: How Starbucks Built a Company One Cup at a Time (Author: Howard Schultz) - Hatching Twitter (Author: Nick Bilton) - Endurance (Author: Alfred Lansing) --------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi

Jun 19, 2023 • 50min
LLM-infused search, Why LLMs hallucinate, Grounded Generation | Amr Awadallah, cofounder and CEO of Vectara
Amr Awadallah, CEO of Vectara and former founder of Cloudera, shares insights on the evolution of search engines and the revolutionary role of LLMs in conversational AI. He tackles the hallucination issue in LLMs and introduces grounded generation as a potential solution for improving accuracy. The discussion also delves into the importance of understanding user intent and data security for companies leveraging AI. Amr highlights exciting ventures in generative AI and provides guidance for entrepreneurs on focusing on real-world applications.

12 snips
Jun 12, 2023 • 30min
Training your own LLM, Domain specific models | Naveen Rao, cofounder and CEO of MosaicML
Naveen Rao is the cofounder and CEO of MosaicML, a platform that enables you to train and deploy large AI models on your data in your secure environment. They've raised funding from amazing investors such as Lux Capital, Data Collective, and Maverick Ventures. Prior to this, he was the cofounder of Nervana. It got acquired by Intel for $408M. In this episode, we cover a range of topics including: - AI compute workloads - Compute platform for training and inference - How to train your own LLM - Ways to reduce the cost of training AI models - Advantages of training domain specific models - In-context learning - Context windows of LLMs - Moat of AI-infused businesses Naveen's favorite book: The Righteous Mind (Author: Jonathan Haidt) --------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi

Jun 5, 2023 • 41min
Lessons from a $130M acquisition, ML model deployment for data scientists, Discovering product-market fit | Harry Glaser, cofounder and CEO of Modelbit
Harry Glaser is the cofounder and CEO of Modelbit, a platform for data scientists to deploy machine learning models. He was previously the cofounder and CEO of Periscope Data, which raised more than $50M in funding from investors such as Bessemer, Threshold, Susa, and others. Periscope got acquired for $130M by SiSense. Prior to that, he was a product manager at Google. In this episode, we cover a range of topics including: - Key learnings from Periscope- What experiments did he run at Periscope during the product-market fit discovery phase- How to hire executives- Motivation behind launching Modelbit- How is Modelbit being used today- Content marketing for developer tooling companies- Top 2-3 favorite use cases for ModelbitHarry's favorite books: Two books by Kazuo Ishiguro -- The Remains Of The Day, Never Let Me Go --------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi