(5/12) CiT: Curation in Training for Effective Vision-Language Data
Authors: Hu Xu, @sainingxie
, Po-Yao Huang, @Licheng_Yu
, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, @cfeichtenhofer
@cohere
-
CiT: Data Curation Methods for Vision-Language Model Training
By
–
-
A Watermark for Large Language Models
By
–
(4/12) A Watermark for Large Language Models
Authors: @jwkirchenbauer
, @jonasgeiping
, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein -
Hungry Hungry Hippos: Language Modeling with State Space Models
By
–
(3/12) Hungry Hungry Hippos: Towards Language Modeling with State Space Models
Authors: @tri_dao
, @realDanFu
, Khaled K. Saab, @ai_with_brains, Atri Rudra, Christopher Ré @HazyResearch @SnorkelAI -
OPT-IML: Scaling Language Model Instruction Meta Learning
By
–
(2/12) OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization
Authors: Srinivasan Iyer, @VictoriaLinML
, Ramakanth Pasunuru, @tbmihaylov
, @simigd
, Ping Yu, et al. -
Top NLP Papers January 2023: Language Models and Text Generation
By
–
(1/12) Stay ahead of the curve with the top NLP papers of January 2023. From language models to text generation, this curated list by @forai_ml has got you covered on the latest advancements in language AI
This social post has been generated with Cohere https://
txt.cohere.ai/top-natural-la
nguage-processing-nlp-papers-of-january-2023
… -
Building Semantic Search Engine with Cohere Documentation
By
–
Want to learn more? Visit our docs page for the complete code walkthrough of building a semantic search engine. https://
docs.cohere.ai/docs/semantic-
search
… -
Converting Embeddings to Search Indexes with Annoy
By
–
Step 3: Turn the embeddings into indexes Next, we turn each embedding into a search index. For example, we can use a library called “annoy,” created by Spotify, to do nearest neighbor search, which finds the point in a given set that is closest to a given point.
-
Embedding Questions Archive Using Cohere API Endpoint
By
–
Step 2: Embed the archive of questions Next, we turn each question into text embeddings using the Cohere Embed endpoint.
-
Cohere Announces Year of AI Innovation and Upcoming Launches
By
–
We are incredibly excited about the fantastic work that our team has accomplished during the past year at Cohere. Learn what we have launched in this timeframe and what's coming next, right from Cohere Co-founder and CEO, @aidangomezzz
-
Foundation Model Virtual Summit on Generative AI
By
–
Join us for the Foundation Model Virtual Summit powered by @SnorkelAI to learn about generative AI from Cohere, Engineering Fellow, @JayAlammar
!
There's still time to sign up. Get registered: https://
snorkel.ai/event/foundati
on-model-virtual-summit/
…