문의를 보내주셔서 감사합니다! 팀원이 곧 연락드리겠습니다.
예약을 보내주셔서 감사합니다! 저희 팀 멤버 중 한 분이 곧 연락드리겠습니다.
기간 7 시간
코스 개요
- Day 1: Researching, verifying and passing on results
- How Perplexity works
- Search, model choice and source selection
- Focus on web, academic sources or own files
- Differences from ChatGPT, Gemini and classic search
- Exercise: Ask the same question with two settings and compare the sources.
- Good research assignments
- Question, time period, source types, exclusions and desired format
- Asking in follow-up questions instead of a new search
- Templates for recurring research
- Exercise: Improve a research assignment on a real topic from the own area in three rounds.
- Checking sources
- Checking primary source, date and publisher
- Reading citations and figures in the source
- Cross-check with a second search or a second model
- Typical errors such as outdated figures and misattributed quotes
- Exercise: Verify five statements from an answer in the sources and rate them.
- Spaces for topics and teams
- Spaces with instructions, files and links
- Sharing in the team and maintenance
- Spaces as a knowledge collection on markets, vendors or standards
- Exercise: Set up a Space for an ongoing research project with an instruction and two files.
- Deep research and Labs
- Deep research for reports with many sources
- Labs for tables, overviews and simple dashboards
- Exporting and passing on results
- Exercise: Have a vendor comparison created as a table with sources and spot-check it.
- Comet and safe use
- Summarizing and comparing web pages
- Handing over tasks in the browser, with approvals
- Hidden instructions on web pages and data protection
- Exercise: Compare three vendor pages with Comet and check the results against the pages.
- Outcome: Each participant has an own Space, a verified piece of research with sources and a template for recurring research assignments.
- How Perplexity works
요건
- Perplexity account (Pro or Enterprise recommended), laptop with a current browser, Comet installed (optional).
- No programming skills required.
Audience
- Employees who research regularly, for example in purchasing, project work, knowledge management, assistance and specialist departments.
회원 평가 (1)
AI 기능과 도구를 이해하여 업무를 보다 쉽게 수행하세요. 분석 수행 및 프레젠테이션 제작과 같은 AI Chubb를 개선해야 합니다.
Tri wulandari - PT Chubb Life Insurance Indonesia
코스 - AI Literacy & Productivity
기계 번역됨
