Intercom, Inc.
SEPTEMBER 9, 2022
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?” AI has been quite overhyped in the past. Paul, how are you?
SaaStr
MARCH 18, 2025
They use AI for price discoverability and optimization, with a setup that drives annual retention. Deployment Strategies: Top-Down vs. Bottom-Up Infrastructure companies typically deploy top-down, while application-layer tools are more likely to follow bottom-up adoption patterns.
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Tom Tunguz
NOVEMBER 8, 2023
LLMs Transform the Stack : Large language models transform data in many ways. If you’re curious about the evolution of the LLM stack or the requirements to build a product with LLMs, please see Theory’s series on the topic here called From Model to Machine.
Intercom, Inc.
JUNE 22, 2018
It’s easy to believe that machine learning is hard. After all, you’re teaching machines that work in ones and zeros to reach their own conclusions about the world. Indeed, the majority of literature on machine learning is riddled with complex notation, formulae and superfluous language.
Clouded Judgement
JANUARY 24, 2025
A core question is whether these powerful reasoning models truly “generalize” well. In AI terminology, “generalizing” refers to a model’s ability to apply learned knowledge to new tasks or unseen data. However the pace of innovation in large language models is extraordinary.
SaaStr
JUNE 14, 2023
Ten years ago, no one would have guessed Europe would generate the largest software IPO globally, yet UiPath has done it, and net retention is 144%. At SaaStr Europa, UiPath’s Dines shared five insights from growing a company from nothing, so other founders can learn what it takes to scale a SaaS startup to $1B+ ARR.
Tom Tunguz
SEPTEMBER 18, 2024
First, integration with the large-language models will be essential. The better the integration of a feature flagging service into a large-language model, the more the usage of the platform & presuming the product charges as a function of usage, the better than a dollar retention & ultimate satisfaction of the customer.
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