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DISCURSIVE

26 karmajoined 11 năm trước

Submissions

Querying Physical AI Data with Daft

eventual.ai
1 points·by DISCURSIVE·4 ngày trước·0 comments

LeRobot v0.6.0 Adds World Models, Reward Models, and an Open GR00T

topicqueue.substack.com
1 points·by DISCURSIVE·5 ngày trước·0 comments

A Push on Tactile Data, and a Warning That the Benchmark Was Leaking

topicqueue.substack.com
2 points·by DISCURSIVE·12 ngày trước·0 comments

Hours of Humanoid Teleop, Recorded in Real Homes

topicqueue.substack.com
3 points·by DISCURSIVE·19 ngày trước·0 comments

Knowledge curation (not search) is the AI big data problem

daft.ai
3 points·by DISCURSIVE·6 tháng trước·0 comments

Cutting LLM Batch Inference Time by Half with Dynamic Prefix Bucketing

daft.ai
2 points·by DISCURSIVE·8 tháng trước·0 comments

Agentic systems are just query engines for unstructured data

daft.ai
3 points·by DISCURSIVE·8 tháng trước·0 comments

Benchmark: Spark vs. Ray Data vs. Daft on Multimodal Workloads

daft.ai
1 points·by DISCURSIVE·9 tháng trước·0 comments

Show HN: Flotilla, the Distributed Engine for Multimodal Pipelines

daft.ai
2 points·by DISCURSIVE·10 tháng trước·0 comments

Profiling multimodal workloads: lessons from Daft

daft.ai
1 points·by DISCURSIVE·10 tháng trước·0 comments

Processing 24T tokens for LLM training with 0 crashes (what made it possible)

daft.ai
1 points·by DISCURSIVE·11 tháng trước·0 comments

We Hit 100% GPU Utilization–and Then Made It 3× Faster by Not Using It

daft.ai
17 points·by DISCURSIVE·11 tháng trước·11 comments

Elasticsearch Was Great, but Vector Databases Are the Future

thenewstack.io
16 points·by DISCURSIVE·2 năm trước·7 comments

Have you faced any challenges of using Elasticsearch for vector search?

1 points·by DISCURSIVE·2 năm trước·0 comments

BGE-M3 vs. Splade

zilliz.com
1 points·by DISCURSIVE·2 năm trước·0 comments

Enhance information retrieval with learned sparse embeddings

zilliz.com
1 points·by DISCURSIVE·2 năm trước·0 comments

The emerging trend of vector databases

zilliz.com
2 points·by DISCURSIVE·2 năm trước·0 comments

The Future of Vector Database

zilliz.com
1 points·by DISCURSIVE·2 năm trước·0 comments

Milvus Supports NVDIA's Graph Index

zilliz.com
2 points·by DISCURSIVE·2 năm trước·0 comments

Zilliz Cloud Jan 2024 Launch

zilliz.com
1 points·by DISCURSIVE·2 năm trước·0 comments

comments

DISCURSIVE
·2 năm trước·discuss
Yeah, we usually just say vector embeddings are the numerical representation of that piece of unstructured data. This glossary page put it together quite nicely. https://zilliz.com/glossary/vector-embeddings
DISCURSIVE
·2 năm trước·discuss
Yup. Back in time, they wrote an article about cloud repatriation (https://a16z.com/the-cost-of-cloud-a-trillion-dollar-paradox...) and used a very nich use cases to extrapolate to all the cloud workload just to support their own portfolio company. So many people in the industry just thought it was a joke:)
DISCURSIVE
·3 năm trước·discuss
In the past six months since I started to work on the vector database space, I keep hearing from developers that the phase before they can convert unstructured data into vector embeddings is the most challenging part. Hence we released this Pipelines product in public preview, aiming at solvelve this problem. We would really appreciate your feedback and comments to see if this is a viable path.