All Segments
The Secret to Building AI-Powered Tools
6 segments available
Beyang Liu, Co-founder and CTO at Sourcegraph, explains the challenges of large language models and delves into the realm of code-building tools for the evolving landscape of AI integration. Topics Covered: 00:00 - Introduction 00:43 - Large language models and hallucinations 01:43 - Providing context to models 03:26 - Models, security, and privacy 05:22 - Cost of models and pricing schemes 06:27 - The Bing price update Resources: * Find Beyang Liu on Twitter: https://twitter.com/beyang * Learn more about Sourcegraph: https://sourcegraph.com/ Stay Updated: Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow our host: https://twitter.com/stephsmithio Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Segments Timeline
AI's Breakout Year: The New Superpower
Beyang Liu discusses the explosive growth of AI in 2022, highlighting ChatGPT as the fastest-growing app. He emphasizes the urgency for CEOs to integrate AI into their businesses while addressing critical concerns such as data privacy, competition, and accuracy.
"2022 was a breakout year for AI in fact many have even claimed that Chachi BT is the fastest growing app of all time so with so much opportunity on the table AI is the topic of conversation in every b..."
Introducing Kodi: The AI-Powered Code Assistant
Liu introduces Kodi, an editor extension designed to leverage language models for code understanding. He explains how Kodi addresses the common issue of hallucinations in AI by providing accurate context and verification, positioning Sourcegraph as a unique fact-checker for language models.
"accz fund for more details please see AC 16z.com disclosures so our first kind of major push I would say is this editor extension called Kodi and essentially what it does is um it's a it's a chat base..."
Enhancing Code Context: Beyond Autocomplete
In this segment, Liu contrasts existing tools like GitHub Copilot with the next evolution of AI code assistants. He discusses the importance of providing relevant context and examples, akin to human coding practices, to improve coding efficiency and accuracy.
"but is there are tools that help you to build code using these language models we'll just throw out a couple like a lot of people are familiar with GitHub copilot a lot of people are familiar with wha..."
Security and Privacy in AI Integration
Liu addresses the security and privacy concerns surrounding AI tools, especially for enterprises with proprietary code. He explains Sourcegraph's approach to self-hosting and the flexibility to integrate various language models, catering to diverse customer needs.
"think it's also going to lead to much more kind of introspectable results so getting Beyond this like oh elements are magic how do they work is it AGI you know what not it's like Cody will actually te..."
Navigating AI Model Costs and Choices
This segment covers the implications of AI model costs, referencing recent price hikes from Bing. Liu discusses the importance of transparency in pricing and the need for companies to adapt to evolving AI models while considering their unique security postures.
"is kind of like Fast evolving and our mentality is like look we have a wide range of customers from like very conservative large Enterprises to like fast-moving startups that have different risk and s..."
The Future of Search: AI and Information Retrieval
Liu speculates on the relationship between AI language models and search engines, arguing that AI enhances the value of search by making data retrieval more efficient. He emphasizes the need for a combination of reasoning engines and information retrieval to maximize AI's potential.
"will be a range in terms of its efficacy or specialty yeah you know it never dawned on me that actually you know you could offer the access across across the board to all these models but also kind of..."