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Which AI Model Should You Pick for Your Startup?

Tom Tunguz

A product manager today faces a key architectural question with AI : to use a small language model or a large language model? the company has no plan/interest to staff a team to manage AI infrastructure or develop deep machine learning experience / expertise in-house. The pace of innovation in the field clouds the answer.

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The Impact of Generative AI on Software With Theory Ventures Founder & General Partner Tomasz Tunguz (Pod 650 + Video)

SaaStr

Generative AI has taken the world by storm, and VCs and SaaS founders are looking at new opportunities it can bring. Even considering the more conservative fundraising market in 2023, there are opportunities for startups to get investor attention with AI. About 15 – 25% of tasks can be automated using AI. Sign up for free.

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Generative AI Governance: Essential Tips to Get Started

Scytale

However, AI’s arrival (and implementation) has certainly caused a fair amount of whiplash, as some companies still try to wrap their heads around use, risks, and overall ethical governance. Hence, there is a growing need for and importance of Generative AI governance. What is Generative AI Governance?

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Unveiling the Future: A Comprehensive Whitepaper on Agile Monetization

Blulogix

Regulatory Landscapes: Navigating the legal aspects of subscription billing and monetization, the whitepaper offers insights into ensuring compliance across different jurisdictions while maintaining agility in business practices. Read More » Charting the Future: What Are the Emerging Trends in Subscription Billing and Monetization?

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Build Trustworthy AI With MLOps

For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale.

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Defending Against AI-Based Cyber Attacks: A Comprehensive Guide

Scytale

In the evolving field of cybersecurity, artificial intelligence (AI) has become a powerful tool for both attackers and defenders. As attackers begin to use AI to automate and improve their tactics, defenders are forced to adapt and develop effective measures to protect their data.

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The Future Is Agile: What Are Some Closing Thoughts on Agile Monetization Platforms?

Blulogix

Personalize customer experiences, leveraging data analytics and AI to understand and anticipate customer needs, thereby fostering loyalty and enhancing satisfaction. Navigate regulatory landscapes more effectively, ensuring compliance across different jurisdictions while maintaining agility in business practices.