Webinar

Move Over LLMs — Here Come SLMs

Join us for an insightful webinar exploring the transformative shift from large language models (LLMs) to small language models (SLMs) and their growing significance in the enterprise landscape.

Discover how SLMs are revolutionizing AI with their streamlined design, cost-efficiency, and ability to deliver high performance on standard hardware. Unlike LLMs, which demand immense computational resources, SLMs provide a more accessible and practical solution, making cutting-edge AI technology attainable for organizations of all sizes.

What You’ll Learn:

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    The SLM Advantage: Why smaller, focused models are more efficient, accurate, and eco-friendly.
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    Real-World Impact: How industries like healthcare, finance, education, and legal services are leveraging SLMs to drive innovation.
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    Success Stories: Hear how companies like DoorDash, Zoom, and Goldman Sachs are using SLMs to enhance operations.
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    Future Outlook: Explore the market potential and groundbreaking applications of SLMs in edge computing, personal devices, and beyond.

Don’t miss this opportunity to stay ahead in the evolving AI landscape. Gain valuable insights into how SLMs are shaping the future of enterprise AI and discover actionable strategies to implement these powerful tools in your business.

About your presenter

Alim Giga
Alim Giga

Partner, Spike Ventures

Alim is a Partner at Spike Ventures, AV’s fund for Stanford alums. Before joining AV, he worked at American Express Ventures and GE Ventures, focusing on enterprise, B2B, fintech and AI/ML investments. Prior to investing, Alim worked in tech at Google, where he generated revenue for advertisers and managed a $100M book of business. He also spent time at PayPal in product marketing and Instart Logic, a startup backed by a16z and KPCB, where he focused on business development and partnerships. He holds a BS in Business and Accounting from the University of Southern California where he graduated magna cum laude, an MS in Management Science & Engineering from Stanford University and an MBA from The Wharton School.

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