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ofermend

177 karma · joined January 10, 2019

Developer Relations, AI Agents, LLMs
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Dags are the wrong abstraction for multi-agent systems

band.ai·10 pts·ofermend·
0

Ask HN: How do you handle PR density (and slop) in open source

3 pts·ofermend·
1

Trust in AI

1 pts·ofermend·
3

Shadow AI

1 pts·ofermend·
0

Show HN: Vetara Agentic

pypi.org·2 pts·ofermend·
0

Show HN: Vectara-Agentic

pypi.org·1 pts·ofermend·
1

Show HN: Short course about embedding models

learn.deeplearning.ai·1 pts·ofermend·
0

Show HN: I made a search engine for Hacker News

hackernews.demo.vectara.com·211 pts·ofermend·
83

Ask HN: How does AI transform UI design?

17 pts·ofermend·
8

Ask HN: Challenges with RAG

1 pts·ofermend·
8

Show HN: Sankofa – Chat with the Browser History

github.com·5 pts·ofermend·
0

Ask HN: How important are embedding models to RAG?

2 pts·ofermend·
1

Ask HN: Do we need so many vector databases?

1 pts·ofermend·
2

Show HN: Ask Feynman

askfeynman.demo.vectara.com·1 pts·ofermend·
3

Fine-Tuning or Grounded Generation?

vectara.com·1 pts·ofermend·
1

Reasons to Use Vectara with LangChain

vectara.com·2 pts·ofermend·
0

Show HN: Why are there protests on Reddit” – AskNews demo

asknews.demo.vectara.com·4 pts·ofermend·
1

Show HN: Vectara-Answer

github.com·2 pts·ofermend·
1

Vectara Now Integrated into LangChain

blog.langchain.dev·6 pts·ofermend·
1

Show HN: AskNews – ask questions about recent news

asknews.demo.vectara.com·5 pts·ofermend·
1

Vectara Releases “Grounded Generation”

vectara.com·5 pts·ofermend·
0

Avoiding hallucinations in LLM-powered applications

vectara.com·145 pts·ofermend·
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