CShorten

19 ms·

61.
by CShorten 3y ago
Epic! Love this, one of the best Weaviate demos I've seen!
62.
by CShorten 3y ago
Loved this paper - so much opportunity to explore Retrieval-Augmented Generation with these longer input LLMs + Vector Databases & Search!
63.
Lost in the Middle: How Language Models Use Long Contexts – Explained
2 points by CShorten 3y ago|0 comments
64.
by CShorten 3y ago
Thanks so much for sharing!
65.
by CShorten 3y ago
Awesome!
66.
Run Weaviate Embedded in a Jupyter Notebook
2 points by CShorten 4y ago|0 comments
67.
New Weaviate Podcast with Dennis Xu, Co-Founder of Mem
3 points by CShorten 4y ago|0 comments
68.
by CShorten 4y ago
1. Weaviate does all these things as well, please see - https://weaviate.io/blog/pulling-back-the-curtains-on-text2v... . Although there are interesting optimizations around fitting a tokenizer, these are all relatively
69.
by CShorten 4y ago
1. Please expand on how you are defining full text search distinctly from sparse search to continue the discussion. My understanding is that full-text search is built on inverted indexing which is the intended meaning behind "sparse&qu
70.
by CShorten 4y ago
Hey everyone, I also work at Weaviate. Weaviate has implemented Hybrid Search because it helps with search performance in a few ways (Zero-Shot, Out-of-Domain, Continual Learning). Members of the Qdrant team are arguing against implementing
71.
New Cohere Multilingual Embedding Model(txt.cohere.ai)
3 points by CShorten 4y ago|1 comments
72.
by CShorten 4y ago
Interview with MosaicML Co-Founder Jonathan Frankle about the new MosaicML Cloud and efforts to reduce the cost of GPT Large Language Models!
73.
by CShorten 4y ago
Super happy seeing this published, very strong way to improve search quality!
74.
by CShorten 4y ago
Congratulations Alex, super cool!
75.
by CShorten 4y ago
Love this, one of my favorite Weaviate podcasts we have done -- the webpage is beautiful, such an elegant data visualization. Really excited about how this will help us standardize and understand ANN benchmarks!
76.
by CShorten 5y ago
Composer from MosaicML is a collection of implemented algorithms in Efficient Deep Learning, achieving faster and cheaper training! Composer is named as such because it facilitates composing these algorithms together, such as combining Ghos
77.
by CShorten 5y ago
The integration of Weaviate Vector Search with OpenAI’s embeddings is a massive step for Deep Learning and Artificial Intelligence! In addition to the Image-Text representations from CLIP, OpenAI has just published (and are selling as an AP
78.
by CShorten 5y ago
I've made some videos on Weaviate as well (Henry AI Labs) if interested: [1] Wikipedia Vector Search Demo with Weaviate: https://www.youtube.com/watch?v=IGB8vjCuay0 [2] Vector Search through Wikidata with Weaviate: ht
79.
by CShorten 5y ago
Super cool!
80.
Deep Learning Applications for Covid-19(journalofbigdata.springeropen.com)
1 points by CShorten 6y ago|0 comments
81.
AI Weekly Update (December 28th, 2020)(youtube.com)
1 points by CShorten 6y ago|0 comments
82.
AI Weekly Update (December 21st, 2020)(youtube.com)
1 points by CShorten 6y ago|0 comments
83.
AI Weekly Update (December 14th, 2020)(youtube.com)
2 points by CShorten 6y ago|0 comments
84.
AI Weekly Update (December 7th, 2020)(youtube.com)
1 points by CShorten 6y ago|0 comments
85.
AI Weekly Update – November 30th, 2020(youtube.com)
1 points by CShorten 6y ago|0 comments
86.
Exploring Simple Siamese Representation Learning(youtube.com)
1 points by CShorten 6y ago|0 comments
87.
Self-Training improves Pre-training for NLU(youtube.com)
1 points by CShorten 6y ago|0 comments
88.
Vokenization Explained(youtube.com)
1 points by CShorten 6y ago|0 comments
89.
Small Language Models Are Also Few-Shot Learners (Explained)(youtube.com)
1 points by CShorten 6y ago|0 comments
90.
Retrieval-Augmented Generation(youtu.be)
1 points by CShorten 6y ago|0 comments

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