Weights & Biases (2024)

FAQs

What is weight and bias? ›

What are Weights and Biases? Weights and biases are neural network parameters that simplify machine learning data identification. The weights and biases develop how a neural network propels data flow forward through the network; this is called forward propagation.

At Weights & Biases our mission is to build the best tools for AI developers. Our co-founders built Figure Eight, and our tools are being used by cutting-edge machine learning teams including OpenAI, NVIDIA, and Co:here.

Lukas Biewald - Weights & Biases | LinkedIn.

Weights & Biases (W&B) was founded in 2017 by Lukas Biewald and Chris Van Pelt.

Examples of Weight Bias in the Media:

Using “thin” people as the beauty standard and encouraging others to have the same body type. Referring to someone as “obese” instead of saying “a person with obesity” Portraying people who are not considered thin as being “gross” or “undesirable”

Designed to help software developers deploy GenAI applications with confidence. The tools developers need to evaluate, understand and iterate on dynamic, non-deterministic large language models.

Weights & Biases is a privately held company and is not publicly traded on NYSE or NASDAQ in the U.S. To buy pre-IPO shares of a private company, you need to be an accredited investor.

Weights & Biases is now valued at $1.25 billion, or $250 million more than after its previous funding round in late 2021. Since that funding round, the startup's installed base has ballooned from 100,000 users to 700,000.

SAN FRANCISCO, Aug. 9, 2023 /PRNewswire/ -- Weights & Biases, the leading end-to-end MLOps platform, today announced both the close of a strategic investment of $50 million at a $1.25 billion valuation and the launch of W&B Prompts.

Is Weights and Biases open source? ›

Weights & Biases ❤️ open source, and we welcome contributions from the community! See the Contribution guide for more information on the development workflow and the internals of the wandb library.

Machine learning operations (MLOps) are a set of practices that automate and simplify machine learning (ML) workflows and deployments. Machine learning and artificial intelligence (AI) are core capabilities that you can implement to solve complex real-world problems and deliver value to your customers.

Weights & Biases remains a privately held company and cannot be accessed on major public exchanges such as NASDAQ or NYSE. Accredited investors can invest in the top private companies like Weights & Biases before they IPO via secondary marketplaces such as Hiive.

Wandb is far more superior to tensorboard in terms of experiment tracking and managing logs.

Kyle Lang - Owner - Show Me Weights | LinkedIn.

Bias is a preference in favor of, or against a person, group of people, or thing. These initial human reactions, which are often unconscious, are rooted in inaccurate information or reason and are potentially harmful.

Weight bias is defined as negative attitudes towards, and beliefs about, others because of their weight. These negative attitudes are manifested by stereotypes and/or prejudice towards people with overweight and obesity.

When building a linear regression model the ultimate goal is to find a vector of weights w and a bias term b that will more closely bring predicted value ŷ to the real target value y for all the inputs: Regression equation. <w, x> represents the inner product between vectors w and x.

bias noun (PREFERENCE)

the action of supporting or opposing a particular person or thing in an unfair way, because of allowing personal opinions to influence your judgment: The senator has accused the media of bias. Reporters must be impartial and not show political bias.