热门公司

招聘

职位

FieldAI

FieldAI

FieldAI

AI for robotics

Artificial Intelligence

Machine Learning

Deep Learning

AI Research

San Francisco, CA

1-50

2025年成立(第1年)

Private

估值

2.0B

融资总额

$6200M

最近融资

Series A

开放职位

0个职位

目前没有开放的职位

产品与服务

AI

AI-Powered Field Service Management

Field Service Management

PR

Predictive Maintenance Platform

Predictive Analytics

MO

Mobile Workforce App

Mobile Solutions

PE

Performance Analytics Dashboard

Analytics & Reporting

CU

Customer Portal

Customer Experience

IN

Inventory Management System

Inventory Management

IO

IoT Device Integration

IoT Solutions

AP

API Integration Services

Integration Services

新闻动态

All

Reddit

X

News

HN

LinkedIn

YouTube

Summer rice fields [AI] [1920x1080]

Reddit

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4天前

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15

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2

Has anyone noticed a significant quality difference between HiggsField AI and the Google API when using NanoBanana?

Been generating images through both HiggsField and the Google API and I'm seeing a pretty big difference in output file sizes for what are supposedly the same 4K images. HiggsField is giving me \~40MB PNGs while the Google API is giving me \~10MB PNGs. When I check the metadata both are the exact same pixel dimensions (3072 x 5504) but the DPI is completely different. HiggsField outputs at 300 DPI and Google API outputs at 96 DPI. Attaching a screenshot of the side by side file properties.

Reddit

·

6天前

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7

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7

Motivation ?

Reddit

·

1周前

·

1,637

·

53

Combination Similarity Keys: Higher-Precision Matching with Two-Field AI-Powered Keys

**AI-Powered • Two-Field Precision • Dramatically Fewer False Positives • Easy to Integrate** Single-field matching has been the standard approach in data quality for years. You match on company name, or on address, or on a person's name—and hope for the best. But anyone who has worked with real-world data knows the problem: matching on one field alone generates too many false positives. "James Kelly" appears dozens of times in a CRM. "IBM" shows up at hundreds of addresses. "100 Main Street" c

Reddit

·

2周前

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1

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1

AI Training Jobs: Domain Specialists vs Generalists (Pay, Tasks & Which One Pays More)

Not all AI training jobs are the same. One of the biggest differences in pay, task difficulty, and long-term opportunities comes down to domain specialist roles versus generalist roles. Understanding this difference can help you choose the right path and avoid wasting time on lower-paying tasks. What Is a Generalist AI Training Role? Generalist AI training jobs are open to almost anyone. They focus on simple, repetitive tasks that do not require specialized knowledge. Common Generalist Tasks

Reddit

·

4周前

·

32

更多 (剩余15条)

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

3.5

企业文化

4.1

职业发展

3.6

管理层

3.4

68%

推荐给朋友

优点

Supportive management and great leadership

Good team culture and collaborative environment

Learning opportunities and growth potential

缺点

Management communication and direction issues

Heavy workload and long hours

Compensation could be better

薪资范围

1个数据点

Senior

Senior

1份报告

$182,500

年薪总额

基本工资

$170,000

股票

-

$144,500

$195,000