gk1

36 ms·

751.
Audio Recommendation with OpenAI and Pinecone(pinecone.io)
1 points by gk1 3y ago|0 comments
752.
Lost in the Middle: How Language Models Use Long Contexts(arxiv.org)
2 points by gk1 3y ago|0 comments
753.
Unifying visual embeddings for visual search at Pinterest(medium.com)
3 points by gk1 3y ago|1 comments
754.
Using Pinecone and Embeddings(stack.convex.dev)
4 points by gk1 3y ago|0 comments
755.
MPT-30B Chatbot with LangChain [video](youtube.com)
3 points by gk1 3y ago|0 comments
756.
The AI behind unconnected content recommendations on Facebook and Instagram(ai.facebook.com)
2 points by gk1 3y ago|1 comments
757.
Analytics and Webooks for Authentication(slashid.dev)
1 points by gk1 3y ago|0 comments
758.
by gk1 3y ago
The Databricks valuation is relevant if any part of the acquisition was paid for in Databricks equity.
759.
Stay a Beginner(softwaredoug.com)
1 points by gk1 3y ago|0 comments
760.
The Magic of Embeddings(stack.convex.dev)
119 points by gk1 3y ago|21 comments
761.
Things I’m Learning While Training SuperHOT(kaiokendev.github.io)
1 points by gk1 3y ago|1 comments
762.
Can AI Become Creative?(addition.substack.com)
1 points by gk1 3y ago|0 comments
763.
Embedding Methods for Visual Search(pinecone.io)
2 points by gk1 3y ago|0 comments
764.
by gk1 3y ago
The post mentions six alternatives to Pinecone. The reality is Milvus isn't as relevant today as it was a year ago. I'm from Pinecone but I'll give credit where it's due: Weaviate, Chroma, and Qdrant completely lapped Mi
765.
Chatbots and Long-Term Memory Explained [video](youtube.com)
1 points by gk1 3y ago|0 comments
766.
Streaming Data with GPT-4(confluent.io)
1 points by gk1 3y ago|0 comments
767.
Gmail Chat: Ask your inbox questions(github.com)
1 points by gk1 3y ago|0 comments
768.
Passkeys: Threat Modeling and Implementation Considerations(slashid.dev)
2 points by gk1 3y ago|0 comments
769.
Passkeys: The end of passwords and account takeovers(slashid.dev)
5 points by gk1 3y ago|1 comments
770.
LangChain: The Missing Manual(pinecone.io)
164 points by gk1 3y ago|43 comments
771.
Vector Databases Are Having a Moment(thenewstack.io)
3 points by gk1 3y ago|0 comments
772.
Building Real-Time AI Applications with MongoDB and Pinecone(esteininger.medium.com)
1 points by gk1 3y ago|0 comments
773.
by gk1 3y ago
We at Pinecone have lots of customers at those operating levels (and many that are even higher)... If a managed option is viable for you.
774.
by gk1 3y ago
Hey all, I'm from Pinecone (shocker). Addressing common questions... What are vector DBs used for? > Storing and search through embeddings at scale, which are created and consumed by LLMs and other AI models for applications like se
775.
by gk1 3y ago
Hey Doug :) We always encourage folks to do their own testing. Everyone has different performance requirements, data shapes/sizes, budgets, and expectations of the user experience. Elasticsearch is a great option. But clearly there&#x2
776.
by gk1 3y ago
(I'm from Pinecone) While Pinecone isn't available as a self-hosted option (see many comments with alternatives), we do offer the option of running Pinecone for you on a managed VPC, and we do have SOC2 compliance, and we do pass
777.
by gk1 3y ago
If the different models use the same dimensionality, you can keep their embeddings within different namespaces inside the same index. See: https://docs.pinecone.io/docs/namespaces If you mean "user access control&
778.
by gk1 3y ago
Choose your flavor: https://www.pinecone.io/learn/vector-embeddings/ https://www.pinecone.io/learn/vector-embeddings-for-develope...
779.
What is a Vector Database? (2021)(pinecone.io)
409 points by gk1 3y ago|202 comments
780.
Using OpenAI with JavaScript(webpro.nl)
3 points by gk1 3y ago|0 comments

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