招聘
Distyl

Distyl
Workflow automation
Data Analytics
Business Intelligence
Data Visualization
Cloud Computing
开放职位
0个职位
目前没有开放的职位
产品与服务
DI
Distyl NeuralDB
Database Technology
DO
Document Intelligence Platform
Document Processing
DA
Data Integration APIs
API Services
EN
Enterprise Analytics Suite
Analytics
CL
Cloud Data Warehouse
Cloud Storage
AI
AI Consulting Services
Professional Services
相似公司

EY
Public
EY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom
London, England, United Kingdom
10,001+
5137 open jobs

Airtable
Series F+
Connected apps platform for your organization.
San Francisco
501-1,000
Valuation $11.7B
57 open jobs

IDC
Public
Focused on the technology industry.
Needham, Massachusetts
1,001-5,000

Mixpanel
Series C
Analytics service company.
San Francisco, CA
201-500
Valuation $1.05B
49 open jobs

Starburst
Series C
Boston, MA
201-500
Valuation $3.35B
27 open jobs

Forrester
Public
Research and advisory company
Cambridge, Massachusetts
1,001-5,000
30 open jobs
新闻动态
All
X
News
HN
YouTube
US appeals court declares 158-year-old home distilling ban unconstitutional
HN
·
1周前
·
460
·
335
US appeals court declares 158-year-old home distilling ban unconstitutional
HN
·
1周前
·
246
·
310
Embarrassingly simple self-distillation improves code generation
HN
·
2周前
·
658
·
201
Frontend Product Engineer, AI Applications - Distyl AI | San Francisco or New York (hybrid) | $150K‑$250K salary
·
3周前
·
1
·
1
Fine-tuning gets dismissed too quickly for structured output tasks in LLM applications
The default advice in most LLM communities is RAG first, fine-tuning only if RAG isn't working. I think that framing causes people to underuse fine-tuning for a specific category of problem where it clearly wins. Structured output tasks are one of them. If your application generates SQL, produces clinical documentation in a specific format, or requires consistent adherence to complex output schemas, fine-tuning embeds those constraints directly into model behavior. RAG can retrieve the right co
·
3周前
·
9
·
14
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
2.3
1条评价
工作生活平衡
3.0
薪酬
3.0
企业文化
2.5
职业发展
3.0
管理层
2.5
25%
推荐给朋友
优点
AI personalization capabilities
Recommendation technology
Ad targeting features
缺点
No opt-out option for data collection
Invasive data practices
Poor customer support response
薪资范围
1个数据点
Senior/L5
Senior/L5
1份报告
$182,500
年薪总额
基本工资
$170,000
股票
-
$144,500
$195,000
面试经验
3次面试
难度
3.0
/ 5
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Research Presentation
5
Panel Interview
6
Offer