Google AI Proposes PERL: A Parameter Efficient Reinforcement Learning Technique that can Train a Reward Model and RL Tune a Language Model Policy with LoRA
Reinforcement Learning from Human Feedback (RLHF) enhances the alignment of Pretrained Large Language Models (LLMs) with human values, improving their applicability and reliability. However, aligning LLMs through RLHF faces significant…
Researchers at Northeastern University Propose NeuFlow: A Highly Efficient Optical Flow Architecture that Addresses both High Accuracy and Computational Cost Concerns
Real-time, high-accuracy optical flow estimation is critical for analyzing dynamic scenes in computer vision. Traditional methodologies, while foundational, have often stumbled upon the computational versus accuracy problem, especially when executed…
TrustArc, Privya.ai launch Data Automation for Privacy & AI Governance
TrustArc, a global leader in data privacy and governance solutions, announces a partnership with Privya, as well as Google partner certification with TrustArc’s Cookie Consent Manager. Elevated Data Privacy AutomationTrustArc’s…
Polygraf’s AI Governance Software awarded Best Product in AI & Data
Polygraf AI-G was named Top AI & Data Product in the prestigious 2024 Product Awards by Products That Count. The award recognized Polygraf as one of the Best Products for…
Data Interpreter: An LLM-based Agent Designed Specifically for the Field of Data Science
Researchers from esteemed institutions, including DeepWisdom, have introduced Data Interpreter – a unique solution for effective problem-solving in data science. This innovative tool harnesses the power of Large Language Models…
DIstributed PAth COmposition (DiPaCo): A Modular Architecture and Training Approach for Machine Learning ML Models
The fields of Machine Learning (ML) and Artificial Intelligence (AI) are significantly progressing, mainly due to the utilization of larger neural network models and the training of these models on…
Google AI Research Introduces ChartPaLI-5B: A Groundbreaking Method for Elevating Vision-Language Models to New Heights of Multimodal Reasoning
In the evolving landscape of artificial intelligence, vision-language models (VLMs) stand as a testament to the quest for machines that can interpret and understand the world like human perception. These…
Delivering on the promise of AI: Microsoft and NVIDIA
Microsoft and NVIDIA’s long-standing collaboration has paved the way for revolutionary AI innovations. At the NVIDIA GTC AI Conference, Microsoft and NVIDIA announced the following new offerings, from leading AI infrastructure…
Navigating the Waves: The Impact and Governance of Open Foundation Models in AI
The advent of open foundation models, such as BERT, CLIP, and Stable Diffusion, has ushered in a new era in artificial intelligence, marked by rapid technological development and significant societal…
RAGTune: An Automated Tuning and Optimization Tool for the RAG (Retrieval-Augmented Generation) Pipeline
Optimizing the Retrieval-Augmented Generation (RAG) pipeline poses a significant challenge in natural language processing. To achieve optimal performance, developers often struggle with selecting the best combination of large language models…