PVML

Social media over the last five years has become a growing and dominant source of information and news for hundreds of millions of individuals all over the world. Social media is always in your pocket on your smartphone.

The Doe Discuss How Tech and Social Media Has Changed Journalism 

Explore how leveraging pre-trained vision-language models (PVLMs) revolutionizes hateful meme detection, achieving new milestones without fine-tuning.

Hateful Meme Detection: Leveraging PVLMs for Zero-shot VQA Probing

Learn about zero-shot visual question answering (VQA) and the use of pre-trained vision-language models (PVLMs) like BLIP-2 in bridging the modality gap.

Zero-Shot Visual Question Answering with PVLMs

Product management is an <strong>incredible</strong> career opportunity. There are few careers that allow employees to dabble in so many different fields. At Google, I worked with teams in marketing, engineering, design, data analysis, PR, user research, legal, business, quality assurance, and so many more.

Introducing PMLesson, Dynamic Product Management Interview Prep

A 12B parameter transformer trained on 250M image-text pairs generates high-quality, zero-shot images and emerging image-to-image capabilities.

DALL·E Research Paper: High Quality Image Generation Without Using Any of the Training Labels

Bundlers are the bridge between account abstraction and the execution layer.

A Developer's Guide to Building Next-Gen Smart Wallets With ERC-4337 — Part 2: Bundlers

Efficient, eco-friendly, and powerful — Sparse Spectral Training boosts LLM performance while cutting memory use and training costs. 

Can Sparse Spectral Training Make AI More Accessible? 

Datadog introduces Toto, an AI model for time series forecasting that boosts accuracy, reliability, and responsible observability.

Toto: Time Series Optimized Transformer for Observability

The main risk is a gradual transfer of product strategy from business leaders to technical systems—often without anyone deciding this should happen.

Why Product Teams Risk Surrendering Judgment to Algorithms

Explores GPT-3.5 and GPT-4 as simulators, highlighting their potential, limitations, and ethical risks in AI-driven simulations.

AI Models Can't Be Trusted in High-Stakes Simulations Just Yet

Multimodal hyper-embeddings enable strong cross-task transfer; tiny tuned modules match or beat full fine-tunes on unseen domains.

Cut 90% of Fine-Tuning Cost—Still Beat Baselines on Text and Vision Benchmarks

This article explains how to test for independence, homogeneity of variance, and normality in a pair programming study

PVML

http://www.PVML.com

11-50 emps

Since 2022

PVML

EVERGREEN INDEX #6754

PVML's stories on HackerNoon

The Doe Discuss How Tech and Social Media Has Changed Journalism

Hateful Meme Detection: Leveraging PVLMs for Zero-shot VQA Probing

Zero-Shot Visual Question Answering with PVLMs

Introducing PMLesson, Dynamic Product Management Interview Prep

DALL·E Research Paper: High Quality Image Generation Without Using Any of the Training Labels

A Developer's Guide to Building Next-Gen Smart Wallets With ERC-4337 — Part 2: Bundlers

Can Sparse Spectral Training Make AI More Accessible?

Toto: Time Series Optimized Transformer for Observability

Why Product Teams Risk Surrendering Judgment to Algorithms

AI Models Can't Be Trusted in High-Stakes Simulations Just Yet

Cut 90% of Fine-Tuning Cost—Still Beat Baselines on Text and Vision Benchmarks

Homogeneity and Normality: How to Test Your Experimental Data

PVML's Related Companies

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PVML WIKI

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PVML

http://www.PVML.com

11-50 emps

Since 2022

PVML

EVERGREEN INDEX #6754

PVML's stories on HackerNoon

The Doe Discuss How Tech and Social Media Has Changed Journalism

Hateful Meme Detection: Leveraging PVLMs for Zero-shot VQA Probing

Zero-Shot Visual Question Answering with PVLMs

Introducing PMLesson, Dynamic Product Management Interview Prep

DALL·E Research Paper: High Quality Image Generation Without Using Any of the Training Labels

A Developer's Guide to Building Next-Gen Smart Wallets With ERC-4337 — Part 2: Bundlers

Can Sparse Spectral Training Make AI More Accessible?

Toto: Time Series Optimized Transformer for Observability

Why Product Teams Risk Surrendering Judgment to Algorithms

AI Models Can't Be Trusted in High-Stakes Simulations Just Yet

Cut 90% of Fine-Tuning Cost—Still Beat Baselines on Text and Vision Benchmarks

Homogeneity and Normality: How to Test Your Experimental Data

PVML's Related Companies

2013

100B

2018

15.2B

2018

12B

2015

9.2B

2018

8B

-1%

2015

7.3B

Representing this company? Click here to claim and customize this page!

Reviews About PVML

PVML WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps