Remove Law Remove Model Remove Technique
article thumbnail

How Hebbia is building AI for in-depth research

Fast Company Tech

A New York-based AI startup called Hebbia says it’s developed techniques that let AI answer questions about massive amounts of data without merely regurgitating what it’s read or, worse, making up information. Hebbia, says Sivulka, has approached the problem with a technique the company calls iterative source decomposition.

article thumbnail

This startup wants to reprogram the mind of AI—and just got $50 million to do it

Fast Company Tech

Anthropic, Menlo Ventures, and other AI industry players are betting $50 million on a company called Goodfire , which aims to understand how AI models think and steer them toward better, safer answers. Cofounder Lee Sharkey pioneered the use of sparse autoencoders in language models.

Mind 89
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

MVP versus EVP: Is it time to introduce ethics into the agile startup model?

TechCrunch

However, today’s startups need to reconsider the MVP model as artificial intelligence (AI) and machine learning (ML) become ubiquitous in tech products and the market grows increasingly conscious of the ethical implications of AI augmenting or replacing humans in the decision-making process. Find an ethics officer to lead the charge.

Model 141
article thumbnail

Write DRY data models with partials and Pydantic

Towards Data Science

Build clean nested data models for use in data engineering pipelines Photo by Didssph on Unsplash Introduction Pydantic is an incredibly powerful library for data modeling and validation that should become a standard part of your data pipelines. We can see that 4 other models underneath it support our top-level model.

Model 98
article thumbnail

Anthropic thinks ‘constitutional AI’ is the best way to train models

TechCrunch

Dubbed “constitutional AI,” Anthropic argues its technique, which aims to imbue systems with “values” defined by a “constitution,” makes the behavior of systems both easier to understand and simpler to adjust as needed. Neither model looks at every principle every time. Perhaps not.

Train 99
article thumbnail

What Is Retrieval-Augmented Generation?

NVIDIA AI Blog

Judges hear and decide cases based on their general understanding of the law. Sometimes a case — like a malpractice suit or a labor dispute — requires special expertise, so judges send court clerks to a law library, looking for precedents and specific cases they can cite. So, What Is Retrieval-Augmented Generation? That builds trust.

article thumbnail

The 10 most innovative data science companies of 2025

Fast Company Tech

In the midst of an artificial intelligence boom thats reshaping almost every facet of the business world, companies are competing in an arms race to build the best and brightest models and fully embrace the nascent technology, whether thats as a product or service for customers or as an integralcomponent of their organizations processes.

Data 88