Estuary Achieves Technology Select Tier Partner Status with Snowflake
Adds Snowflake as a Source of Near Real-time Data Estuary today announced that it has achieved Technology Select Tier partner status from Snowflake, the AI Data Cloud company. Estuary also announced…
ScaleBiO: A Novel Machine Learning Based Bilevel Optimization Method Capable of Scaling to 34B LLMs on Data Reweighting Tasks
Bilevel optimization (BO) is a growing field of research, gaining attention for its success in various machine learning tasks like hyperparameter optimization, meta-learning, and reinforcement learning. BO involves a two-level…
This AI Paper by Narrative BI Introduces a Hybrid Approach to Business Data Analysis with LLMs and Rule-Based Systems
Business data analysis is a field that focuses on extracting actionable insights from extensive datasets, crucial for informed decision-making and maintaining a competitive edge. Traditional rule-based systems, while precise, need…
WildGuard: A Light-weight, Multi-Purpose Moderation Tool for Assessing the Safety of User-LLM Interactions
Ensuring the safety and moderation of user interactions with modern Language Models (LLMs) is a crucial challenge in AI. These models, if not properly safeguarded, can produce harmful content, fall…
Researchers at the University of Wisconsin-Madison Propose a Finetuning Approach Utilizing a Carefully Designed Synthetic Dataset Comprising Numerical Key-Value Retrieval Tasks
It is observed that LLMs often struggle to retrieve relevant information from the middle of long input contexts, exhibiting a “lost-in-the-middle” behavior. The research paper addresses the critical issue of…
FI-CBL: A Probabilistic Method for Concept-Based Machine Learning with Expert Rules
Concept-based learning (CBL) in machine learning emphasizes using high-level concepts from raw features for predictions, enhancing model interpretability and efficiency. A prominent type, the concept-based bottleneck model (CBM), compresses input…
45 Shades of AI Safety: SORRY-Bench’s Innovative Taxonomy for LLM Refusal Behavior Analysis
Large language models (LLMs) have gained significant attention in recent years, but ensuring their safe and ethical use remains a critical challenge. Researchers are focused on developing effective alignment procedures…
Anthropic Pushes for Third-Party AI Model Evaluations
Although AI tools are rapidly advancing and becoming a part of just about every sector, the AI community is still looking for a standardized means to assess the capabilities and…
US Senators Propose $32 Billion in Annual AI Spending, but Critics Remain Unconvinced
Senate leader, Chuck Schumer, and three colleagues want the US government to spend at least $32 billion annually by 2026 for non-defense related AI systems. This includes spending on government…
Industry experts call for tailored AI rules in post-election UK
As the UK gears up for its general election, industry leaders are weighing in on the potential impact on technology and AI regulation. With economic challenges at the forefront of…