Kaarel Kotkas, CEO and Founder of Veriff – Interview Series
Kaarel Kotkas is the CEO and Founder of Veriff and serves as the strategic thinker and visionary behind the company. He leads Veriff’s team in staying ahead of fraud and…
ai
The High Cost of Dirty Data in AI Development
It’s no secret that there is a modern-day gold rush going on in AI development. According to the 2024 Work Trend Index by Microsoft and Linkedin, over 40% of business…
How to Learn SQL the Lazy Way
This is a simple guide for lazy people who want to learn SQL with minimal effort.
If Data is the New Oil, then Generative AI is the New Rocket Fuel
In this article, the author proposes a new phrase: “If Data is the New Oil, then Generative AI is the new Rocket Fuel,” to emphasize GAI’s role in enhancing data’s…
WACK: Advancing Hallucination Detection by Identifying Knowledge-Based Errors in Language Models Through Model-Specific, High-Precision Datasets and Prompting Techniques
Large Language Models (LLMs) are widely used in natural language tasks, from question-answering to conversational AI. However, a persistent issue with LLMs is “hallucination,” where the model generates responses that…
CHESTNUT: A QoS Dataset for Mobile Edge Environments
Quality of Service (QoS) is a very important metric used to evaluate the performance of network services in mobile edge environments where mobile devices frequently request services from edge servers.…
AUTO-CEI: A Curriculum and Expert Iteration Approach to Elevate LLMs’ Response Precision and Control Refusal Rates Across Diverse Reasoning Domains
Large language models (LLMs) are increasingly utilized for complex reasoning tasks, requiring them to provide accurate responses across various challenging scenarios. These tasks include logical reasoning, complex mathematics, and intricate…
This Is It, Final Ticket Sale: Legal Innovators UK – Nov 6 + 7
As the song goes, it’s the final countdown…. Legal Innovators UK the pioneering legal tech conference is taking place next week on November 6 and …
This AI Paper Reveals the Inner Workings of Rotary Positional Embeddings in Transformers
Rotary Positional Embeddings (RoPE) is an advanced approach in artificial intelligence that enhances positional encoding in transformer models, especially for sequential data like language. Transformer models inherently struggle with positional…
Top 30 Artificial Intelligence (AI) Tools for Data Analysts
The development of Artificial Intelligence (AI) tools has transformed data processing, analysis, and visualization, increasing the efficiency and insight of data analysts’ work. With so many alternatives, selecting the best…