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The new dawn of Machine Learning

Intercom, Inc.

GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” Today, we have an interesting topic to discuss.

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How to Improve Your LLM : Combine Evaluations with Analytics

Tom Tunguz

The future of LLM evaluations resembles software testing more than benchmarks. Real-world testing looks like this , asking LLMs to produce Dad jokes like this zinger : I’m reading a book about gravity & it’s impossible to put down. LLMs are tricky. 1 can be greater than 4. This is called non-determinism.

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Artificial Intelligence Will Change How You Do Marketing in 2021

Unbounce

No incoming martech makes a better case for this sort of incremental innovation than artificial intelligence. Marketing and AI: A “Meet Cute” For marketers interested in learning what AI can do for them, right now , debates and philosophy about artificial intelligence can be heady stuff.

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Hitting the Forecasting Bullseye with Machine Learning

InsightSquared

All it needs is a little help from machine learning. When you think about your sales forecast , do you see a target or a benchmark? Salespeople are commonly trained to use their forecast as a benchmark. Machine Learning Raises the Bar. This is where machine learning will change the game for you.

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“What’s a Good Conversion Rate for My Landing Page?” [Conversion Benchmark Report 2021]

Unbounce

That’s where industry benchmarks come in—and that’s why we’re thrilled to bring you a fresh (and free) Conversion Benchmark Report for 2021. Introducing the 2021 Conversion Benchmark Report. We found this reduces the impact of outliers (like pages that convert five times better than the rest) on the final benchmarks.

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What Builders Talk About When They Talk About AI

Andreessen Horowitz

While a lot of the focus today is on the development of foundational large language models (LLMs) , the transformer architecture was invented only 6 years ago, and ChatGPT was released less than a year ago. In contrast to earlier applied use cases of machine learning where the nth degree of correctness is critical (e.g.,

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Theory

Tom Tunguz

I study them, benchmark them, analyze them, interview their leaders to understand their mechanics & share what I’ve learned on this blog. Machine Learning as a Force Multiplier : There are four types of machine learning: classification, prediction, interpretation, & generation.