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About

WW

Winston Weinberg

03/11/25

@ Sequoia Capital

The introduction of OER models has significantly changed our product strategy, allowing us to build systems we previously thought were impossible.

Video

SC

How AI Breakout Harvey is Transforming Legal Services, with CEO Winston Weinberg

@ Sequoia Capital

How AI Breakout Harvey is Transforming Legal Services, with CEO Winston Weinberg

03/11/25

Related Takeaways

WW

Winston Weinberg

03/11/25

@ Sequoia Capital

The OER models excel at orchestrating and executing multi-step reasoning tasks, which is crucial for combining various information sources into cohesive work products.

YC

Y Combinator Cast

12/14/24

@ Y Combinator

The rise of open-source models has shifted the landscape, allowing startups to compete effectively without relying solely on large foundation model companies.

L

LangChain Cast

12/18/24

@ LangChain

From day one, we built our own foundation models instead of just fine-tuning existing ones, which allowed us to make significant architectural decisions during the pre-training process.

MT

Michael Truell

05/01/25

@ Lenny's Podcast

We realized that the existing AI models were not sufficient for our needs, prompting us to develop our own models to enhance product quality.

MK

Mike Krieger

05/09/25

@ Sequoia Capital

I believe that having our models out in the wild has provided valuable market feedback, which has shaped our product development significantly.

SA

Sam Altman

04/12/25

@ TED

Open source has an important role, and we are developing a powerful open-source model that will be better than existing ones.

AS

Aravind Srinivas

02/22/25

@ Y Combinator

We are capable of utilizing the latest open-source models and fine-tuning them to create a better information experience for users.

MM

Mira Murati

09/25/23

@ a16z

We aim to provide a platform that allows users to build on our models, offering tools for customization and control to create effective products.

O

OpenAI Cast

04/11/25

@ OpenAI

We are no longer in a compute-constrained environment for our best models, marking a significant shift in our approach to model training and development.