How to Pick the Right AI for Max Productivity

Lightning Lessons

Practical skills & tools to accelerate your career

The AI-Powered Super IC

How to Pick the Right AI for Max Productivity

Hosted by Sherveen Mashayekhi

143 students

What you'll learn

How to judge models for task-specific quality.

Get a framework to understand EXACTLY what existing & future model releases are good at, beyond the benchmarks.

When to get multi-model with it.

When to create a "council" of models & what problems benefit from using multiple at once or in sequence. Teamwork!

The current power rankings and nuances.

How to judge companies & models on their competencies and biases – from Grok's secret powers to OpenAI's superpowers.

Why this topic matters

The amount of model releases, changes, and model types has made the LLM landscape overwhelming. But if you can be good (and quick) at judging and using different models from the firehose, you'll gain an unfair advantage over those who just keep using the default spoon-fed to them by the foundational AI companies. You'll be ready for the future, no matter what it looks like.

You'll learn from

Sherveen Mashayekhi

Founder & CEO of Free Agency, AI Product Leader.

Sherveen has been an AI product leader and founder in tech for over a decade, but more importantly, is a long-time obsessive about startups.

He's a first adopter of AI tools and sits in exclusive circles of founders + venture capitalists building the cutting edge of applied AI products. As the founder and CEO of Free Agency (backed by investors like Maveron, Bloomberg Beta, Kevin Durant, and Kygo), he now helps tech professionals navigate the modern hiring landscape, with clients landing roles at companies like OpenAI, Amazon, and Stripe.

He's the host of three shows + podcasts about early stage tech: The Feedback Loop, Three Course Founders, and The Sherveen Show, where he talks multiple times a week with the most exciting technologists, CEOs, and investors building the future.

See more: https://youtube.com/@sherveenshow

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