The coolest thing about smart glasses is not the AR. It’s the AI.
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This AI Paper from KAIST AI Introduces a Novel Approach to Improving LLM Inference Efficiency in Multilingual Settings
Natural language processing (NLP) has experienced a surge in progress with the emergence of large language models (LLMs), which are utilized in various applications such as text generation, translation, and…
Model Collapse in the Synthetic Data Era: Analytical Insights and Mitigation Strategies
Large language models (LLMs) and image generators face a critical challenge known as model collapse. This phenomenon occurs when the performance of these AI systems deteriorates due to the increasing…
Legal Innovators – Zach Abramowitz: Where Is GenAI Now?
Where is legal genAI now? How far have we come since ChatGPT arrived in November 2022? How do we get to really impactful LLM-driven workflows? …
Chunking Techniques for Retrieval-Augmented Generation (RAG): A Comprehensive Guide to Optimizing Text Segmentation
Table of contents Introduction to Chunking in RAGOverview of Chunking in RAGDetailed Analysis of Each Chunking MethodChoosing the Right Chunking TechniqueConclusion Introduction to Chunking in RAG In natural language processing…
Choose Diversity When Sourcing Training Data For Computer Vision Models
Computer Vision (CV) is a niche subset of Artificial Intelligence that is bridging the gap between science fiction and reality. Novels, movies, and audio dramas from the previous century had…
Researchers from China Introduce INT-FlashAttention: INT8 Quantization Architecture Compatible with FlashAttention Improving the Inference Speed of FlashAttention on Ampere GPUs
Large Language Models (LLMs) evaluate and interpret links between words or tokens in a sequence primarily through the self-attention mechanism. However, this module’s time and memory complexity rises quadratically with…
Discover the Journeys of Women in Technology
Learn from those who have paved the way and gain practical advice on how to build a successful technology career.
Stock Market Forecasting with TimeGPT
Learn how to accurately forecast the Meta stock market prices using a few lines of code.
Molham Aref, CEO & Founder of RelationalAI
Molham is the Chief Executive Officer of RelationalAI. He has more than 30 years of experience in leading organizations that develop and implement high-value machine learning and artificial intelligence solutions…