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HETAL: New Privacy-Preserving Method for Transfer Learning with Homomorphic Encryption
Data privacy is a major concern in today’s world, with many countries enacting laws like the EU’s General Data Protection Regulation (GDPR) to protect personal information. In the field of machine learning, a key issue arises when clients wish to leverage pre-trained...
Stability AI Introduces Stable Code: A General Purpose Base Code Language Model
Machine Learning has iconic applications in programming languages, from code understanding to code representation or completion. Earlier work focused on exploiting the underlying deep semantic structure of programming languages like Code2Vec, Code2Seq, and Graph...
MLOps and DevOps: Collaborating for Vector Database Excellence in Machine Learning Projects
In the rapidly evolving technology landscape, where machine learning (ML) projects are at the forefront of innovation, the importance of effective collaboration between Machine Learning Operations (MLOps) and Development Operations (DevOps) cannot be overstated. This...
Meet Zep: An AI Research Startup Adding Long-Term Memory to Your AI Assistant
Assistants powered by artificial intelligence (AI) are quickly permeating every aspect of our lives, from homes and offices to cell phones. However, the current state of AI assistants needs to improve in terms of long-term memory capabilities. They lack...
PrivateGPT: A Production-Ready AI Project that Allows You to Ask Questions About Your Documents Using the Power of Large Language Models (LLMs) Even without Internet
Keeping data private while using advanced technology is becoming increasingly challenging. Many industries, such as healthcare and legal, handle sensitive information daily. These sectors often hesitate to adopt new tech tools, fearing that their data might not remain...
Continual Adapter Tuning (CAT): A Parameter-Efficient Machine Learning Framework that Avoids Catastrophic Forgetting and Enables Knowledge Transfer from Learned ASC Tasks to New ASC Tasks
Aspect Sentiment Classification (ASC) is a critical task aimed at discerning sentiment polarity within specific domains, such as product reviews, where the sentiment toward particular aspects needs to be identified. Continual Learning (CL) poses a significant...
