Ever wished your app could think a little more like a human? Microsoft’s Semantic Kernel bridges the gap between traditional code and natural language. Let's talk about what it is, how it works, and how you can start building your own AI agents today...
👋 Hey there! Ever wondered how Siri understands your commands or how Google Translate works its magic? The answer lies in Natural Language Processing (NLP)—a fascinating field that combines computer science, linguistics, and artificial intelligence ...
Introduction to Local RAG What is Retrieval-Augmented Generation (RAG)? The core idea is to enhance the generative capabilities of language models by incorporating external knowledge retrieved from a document store or database. This approach is very ...
I'd like to go over an idea that has been brewing in me for a long time. I think I have reached the realization I need for the idea to come to life. It started a while back with this concept that language models (LMs) had enough intelligence to work ...
As someone who manages various communities with different languages, personalities, and audiences, I've always wanted them all to benefit my Hashnode blogs, but I haven't been successful. Some readers found my articles boring, while others thought th...
Introduction Creating metadata—a critical step in digital archiving—is often tedious, labor-intensive, and costly. As the volume of digital data grows, traditional manual methods for metadata creation become increasingly impractical. The scientific p...
Arxiv: https://arxiv.org/abs/2410.22071v1 PDF: https://arxiv.org/pdf/2410.22071v1.pdf Authors: Yonatan Belinkov, Idan Szpektor, Jonathan Herzig, Adi Simhi Published: 2024-10-29 Introduction: The Problem of LLM Hallucinations Large language models (L...
Arxiv: https://arxiv.org/abs/2411.00300v1 PDF: https://arxiv.org/pdf/2411.00300v1.pdf Authors: Jaewoo Kang, Hyunjae Kim, Mujeen Sung, Hyeon Hwang, Sihyeon Park, Chanwoong Yoon, Yein Park, Jiwoong Sohn Published: 2024-11-01 Introduction In a groundbr...
Demystifying the Complexity of Language Models' Numerical Challenges Large language models, the powerhouse behind many AI-driven text generation and comprehension applications, exhibit remarkable capabilities. However, they face notable obstacles whe...
Arxiv: https://arxiv.org/abs/2411.07122v1 PDF: https://arxiv.org/pdf/2411.07122v1.pdf Authors: Kristian Kersting, Patrick Schramowski, Björn Deiseroth, Manuel Brack, Felix Friedrich, Ruben Härle Published: 2024-11-11 Exploring the depths of AI tech...
