Infinite Curiosity Pod with Prateek Joshi

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.

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 

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 

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.

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 

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 

Matt Welsh is the cofounder and CEO of Fixie, an automation platform for LLMs. It allows developers to build natural language agents that connect to your data, talk to APIs, and solve complex problems. They've raised $17M from investors such as Redpoint, Madrona, Zetta, SignalFire, Bloomberg Beta, and more. He has previously held roles at OctoML, Apple, Xnor, and Google. He was a Professor of Computer Science at Harvard and has a PhD in Computer Science from UC Berkeley. In this episode, we cover a range of topics including: - LLMs as the new computational engine - What can LLMs do well and where are the gaps - Fine-tuning vs In-context learning - Smart Agents - Few shot learning - Use cases of Fixie Matt's favorite book: The Amazing Adventures of Kavalier & Clay (Author: Michael Chabon)--------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 

Aditya Naganath is an investor at Kleiner Perkins, a legendary VC firm with investments in companies such as Google, Amazon, Spotify, Doordash, Slack, Intuit, UiPath, Figma, and many more. Prior to this, he was a product manager at Google focusing on growth initiatives for the SMB monetization team within emerging markets. He has previously been in technical roles at Palantir, Twitter, and Nextdoor. He earned a patent during his time at Twitter for a technical analytics product he co-created. And he has a bachelor’s degree in Computer Science from Columbia University and an MBA from Stanford. In this episode, we cover a range of topics including: - Uses of AutoGPT - How to intervene when AutoGPT gets stuck and how to provide feedback - ChatGPT Plugins - Generative AI in the enterprise - Context windows of LLMs - What new emergent properties can be uncovered if LLMs can reason over larger context windows - LLMs for developers - AI landscape and investment opportunities Aditya's favorite book: Factfulness (Author: Hans Rosling)--------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 

Elad Gil is an entrepreneur, operator, and and investor. He has invested in and advised companies such as AirBnB, Stripe, Figma, Airtable, Samsara, Coinbase, Flexport, Gitlab, Gusto, Instacart, Notion, Pinterest, Rippling, and many more. He was the cofounder and Chairman at Color Genomics. Prior to that, was the VP of Corporate Strategy at Twitter. He was the cofouder and CEO MixerLabs, which got acquired by Twitter. He has held roles at Google and McKinsey. He has a PhD from MIT. In this episode, we cover a range of topics including:  - How will the AI market structure evolve? - What products can startups build to make LLMs faster/better/cheaper? - How is Generative AI being used in the enterprise today? - How are customers spending money for AI-related work? - What is AutoGPT and how can businesses use it? - What AI copilot products can be built? - How are LLMs being used for software development? - How will the AI infrastructure market shape up? - Building a moat for AI-infused businesses - Open source opportunities in AI - What's the state of play in the AI application market? -------- 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 

Jerry Liu is the cofounder and CEO of LlamaIndex. He is the creator of the open source tool that's also named LlamaIndex, which provides a central interface to connect your LLMs with external data. He has previously held roles at Quora, Uber, and Robust Intelligence. He has a computer science degree from Princeton. In this episode, we cover a range of topics including:  - What can LLMs do well and where are the gaps - How to connect LLMs to external data - What does LlamaIndex do - Fine-tuning LLMs - In-context learning - Application that are getting built on top of LlamaIndex Jerry's favorite books: Harry Potter series (Author: J.K. Rowling) and The Hard Thing About Hard Things (Author: Ben Horowitz)--------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