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8 Significant Research Papers on LLM Reasoning

Simple next-token generation, the foundational technique of large language models (LLMs), is usually insufficient for tackling complex reasoning tasks. To address this limitation, various research teams have explored innovative...

AI-Generated Masterpieces: The Blurring Lines Between Human and Machine Creativity

Hey there! Just the other day, I was admiring a beautiful painting at a local art gallery when...

Marek Rosa – dev blog: GoodAI LTM Benchmark v3 Released

 The main purpose of the GoodAI LTM Benchmark has always been to serve as an objective measure for...

Google’s New Generative AI Shopping Features Explained

Source: Unsplash In August 2024, Google launched two AI-powered features that make it easier for customers to find and...

Essential AI Engineer Skills and Tools you Should Master

As the field of Artificial Intelligence (AI) continues to expand, the demand for skilled AI engineers is growing exponentially. Whether you’re just starting your...

A Leader’s Guide to Choosing The Right GenAI Platform

In a world where technology evolves at breakneck speed, cutting-edge innovations are reshaping how businesses operate and think. The latest advancements are not just...

How diffusion models work: the math from scratch

Diffusion models are a new class of state-of-the-art generative models that generate diverse high-resolution images. They have already attracted a lot of attention after...

AI-Powered Tools Transforming Task Management and Scheduling

In today’s digital landscape, where efficiency is the new currency, AI-powered productivity tools have become essential allies. This article marks the beginning of a series...

Understanding Retrieval – Augmented Generation (RAG): A Beginner’s Guide

Introduction: The Evolution of Information Retrieval Remember back in 2021 when searching for information online often felt like a bit of a chore? You’d open...

Do LLMs Reign Supreme in Few-Shot NER? Part III

In our previous blog posts in the series, we have described traditional methods for few-shot named entity recognition (NER) and discussed how large language...