The Human Factor in Artificial Intelligence AI Regulation: Ensuring Accountability
As artificial intelligence (AI) technology continues to advance and permeate various aspects of society, it poses significant challenges to existing legal frameworks. One recurrent issue is how the law should…
CAT-BENCH: Evaluating Language Models’ Understanding of Temporal Dependencies in Procedural Texts
Understanding how LLMs comprehend natural language plans, such as instructions and recipes, is crucial for their dependable use in decision-making systems. A critical aspect of plans is their temporal sequencing,…
This AI Paper from CMU and Google DeepMind Studies the Role of Synthetic Data for Improving Math Reasoning Capabilities of LLMs
Large language models (LLMs) face a critical challenge in their training process: the impending scarcity of high-quality internet data. Predictions suggest that by 2026, the available pool of such data…
10 Use Cases of Claude 3.5 Sonnet: Unveiling the Future of Artificial Intelligence AI with Revolutionary Capabilities
Claude 3.5 Sonnet by Anthropic AI has heralded a new era, surpassing its predecessors and contemporaries with unprecedented capabilities. This iteration of large language models (LLMs) demonstrates versatility and sophistication…
TransFusion: An Artificial Intelligence AI Framework To Boost a Large Language Model’s Multilingual Instruction-Following Information Extraction Capability
Large Language Models (LLMs) have made significant advances in the field of Information Extraction (IE). Information extraction is a task in Natural Language Processing (NLP) that involves identifying and extracting…
Llama-Agents: A New Open-Source AI Framework that Simplifies the Creation, Iteration, and Deployment of Multi-Agent AI Systems
Managing multiple agents in an AI system can be quite challenging. Each agent must communicate effectively, execute tasks reliably, and scale efficiently. This complex process often requires a robust framework…
7 Emerging Generative AI User Interfaces: How Emerging User Interfaces Are Transforming Interaction
In recent years, the proliferation of generative AI technologies has led to the development of various user interfaces that harness the power of AI to enhance productivity, creativity, and user…
MuxServe: A Flexible and Efficient Spatial-Temporal Multiplexing System to Serve Multiple LLMs Concurrently
Large Language Models (LLMs) have gained significant prominence in the AI industry, revolutionizing various applications such as chat, programming, and search. However, the efficient serving of multiple LLMs has emerged…
CaLM: Bridging Large and Small Language Models for Credible Information Generation
The paper addresses the challenge of ensuring that large language models (LLMs) generate accurate, credible, and verifiable responses by correctly citing reliable sources. Existing methods often need help with errors…
Innovative Machine Learning-Driven Discovery of Broadly Neutralizing Antibodies Against HIV-1 Using the RAIN Computational Pipeline
Broadly neutralizing antibodies (bNAbs) are key in combating HIV-1. They target the virus’s envelope proteins and show promise in reducing viral loads and preventing infection. Despite their potential, identifying bNAbs…