Calling all research talent from world-leading universities and institutions: This is an exclusive opportunity to meet the Stability AI team, gain insight into our latest cutting-edge AI models, and connect with global research peers. Meet us at the CogX Festival in London
RESEARCH
-
Meta Launches SeamlessM4T, Open Source Multilingual Model
By
–
Meta unveils SeamlessM4T, an open source multilingual and multimodal foundational model https://actuia.com/actualite/meta-devoile-seamlessm4t-un-modele-de-base-multilingue-et-multimodal-open-source/
… #AI #artificialintelligence #opensource -
NVIDIA Earth-2 Team Hiring AI Scientists and Climate Modelers
By
–
Coming off from @nvidia blow-out earnings and company meeting, Jensen met our Earth-2 team. #ai+#science is a game-changer here. We are #hiring AI research scientists, deep learning engineers, numerical methods experts, and climate modelers. DM me.
-
Multiple Embeddings Strategy for Enhanced Document Retrieval
By
–
One solution is to start creating not one but MULTIPLE embeddings per document This was the basic realization with our ParentDocumentRetriever ~2 weeks ago, but it's really much more general than that There are many ways to create multiple embeddings
-
Larger Context Windows Challenge Single Embeddings Per Chunk
By
–
Language models are getting larger and larger context windows This is great, because you can pass bigger chunks in! But if you have larger chunks, then a single embedding per chunk can start to fall flat, as there can be multiple distinct topics in that longer passage
-
Multi Vector Retriever: Advanced Embedding Strategies for AI
By
–
Multi Vector Retriever The basic idea: you store multiple embedding vectors per document. How do you generate these embeddings? Smaller chunks (this is ParentDocumentRetriever)
Summary of document
Hypothetical questions
Manually specified text snippets Quick -
AI agents learning through reflection on novel experiences
By
–
What if AI agents can reflect on novel experiences? Could it improve AI’s performance? This research bridges AI and neuroscience by drawing inspiration from animal behavior:
-
Andrew Ling speaks on safe, trustworthy, energy-efficient AI models
By
–
Tune in on August 29 to hear Andrew Ling, PhD, Sr. Director, Software Engineering & ML Compiler, speak at an Oakridge National Lab workshop about safe, trustworthy, and energy-efficient AI models. Learn more at https://
ornl.github.io/events/SMCAI-A
ugust-2023/
… -
AlphaFold congratulations for Chris research achievement
By
–
Congratulations Chris! fantastic work, and delighted to hear that #AlphaFold was helpful
-
CLAMP-TB: Predictive AI for High-Risk TB Case Detection
By
–
CLAMP-TB employs predictive analysis for high-risk TB case detection, enabling timely interventions to reduce loss to follow-up and mortality. Additionally, it aids in lowering transmission, supporting TB eradication, and enhancing treatment success.