Webinar
Masterclass: Small Language Models

Join Alumni Ventures Partner Alim Giga for an exclusive masterclass on Small Language Models (SLMs)—a transformative force in AI that is reshaping industries with faster, more efficient, and cost-effective applications.
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As businesses seek AI solutions that balance performance with accessibility, SLMs are emerging as a key innovation, offering advantages over their larger counterparts in speed, adaptability, and deployment. This webinar will explore the investment opportunities, technological breakthroughs, and real-world applications driving the future of AI.
Whether you’re an investor, entrepreneur, or AI enthusiast, this session will provide essential insights into how SLMs are changing the landscape. Don’t miss this opportunity to hear from an industry leader and gain a deeper understanding of this cutting-edge technology.
Why Attend?
- HomeEmerging AI Trends: Learn why small language models are gaining traction and how they compare to larger AI models.
- HomeInvestment Opportunities: Discover how venture capital is fueling innovation in this rapidly evolving space.
- HomeReal-World Applications: Explore how SLMs are being deployed across industries, from healthcare to finance.
Reserve your spot today and stay ahead in the AI revolution. Alumni Ventures is America’s largest venture capital firm for individual investors.
About your presenter

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.