18 min listen
EP 192: How VC Firms Can Get Ahead with LLMs
EP 192: How VC Firms Can Get Ahead with LLMs
ratings:
Length:
33 minutes
Released:
Jan 24, 2024
Format:
Podcast episode
Description
With every company raising money looking to add AI, how can venture capital firms make sense of it all? By also using LLMs. Roger Thornton, Co-Founder and Partner of Ballistic Ventures, joins us to discuss how VC firms can leverage LLMs to get ahead.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode pageJoin the discussion: Ask Jordan and Roger questions on VCs and LLMsUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:35 Daily AI news05:00 About Roger and Ballistic Ventures07:30 Trust leads to vulnerability, tech advances enhance threats.12:35 Experts prioritize concise communication and utilizing AI.14:20 Using large language models concisely.18:38 Venture capitalists struggle with time and AI.23:06 AI's impactful role in programming and democracy.25:14 Downsides of LLMs for VCs27:08 Start-ups building infrastructure for data generationTopics Covered in This Episode:1. Venture Capital Firms and AI2. Impact of AI on Business and Security3. Applications of Large Language Models (LLMs)4. Quality and Dependency on Data for AIKeywords:AI, cybersecurity, data poisoning, access control, forecasting, efficiency, disruption, startups, language models, vetting, entrepreneurship, proprietary data, venture capital, confidentiality, internal AI models, generative AI, family passwords, integration, English grammar, investment memos, service industry, deep fake technology, democracy, user experience, Chrome, breakthrough energy innovation, OpenAI, SAP, cybersecurity companies Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/
Released:
Jan 24, 2024
Format:
Podcast episode
Titles in the series (100)
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