How can AI move beyond simply finding answers on a single page to comprehending the context of an entire book and delivering more accurate responses? To effectively search and utilize data, it’s not just about finding large amounts of information—it’s...

Large language models (LLMs) powered by generative AI demonstrate impressive performance across various domains. However, effectively applying AI in real-world scenarios requires a solid understanding of its training methods and strategies for handling data. In this article, we delve into...

Indexing is essential for effectively searching chunked data. It refers to the process of storing chunked data in a database in a way that allows for efficient retrieval. Indexed data enables quick similarity comparisons with search queries, helping the system...

What is Data Structuring? In our previous article, we explored RAG (Retrieval-Augmented Generation) as a new approach to LLM training. RAG operates like an open-book test, utilizing external data to retrieve and generate accurate responses. The performance of RAG heavily...

For generative AI to become a truly valuable tool for humans, it must go beyond simply learning data—it needs to understand human intent and respond in ways that align with human expectations. The key to achieving this lies in Human...

Imagine bringing your own virtual world to life with nothing more than a single image, a brief description, or a photograph. This is the transformative power of Genie (Generative Interactive Environment), a revolutionary model introduced by Google this February. Now,...

Keeping up with the rapid pace of AI advancements can be challenging, especially with generative AI at the forefront. Generative AI, familiar to many through tools like ChatGPT, is breaking new ground by processing and generating not just text, but...

The assumption that “AI can surpass human capabilities” is no longer surprising. It’s now seen more as a question of when, rather than if. From autonomous driving to programming, AI is quickly catching up to, or even surpassing, human abilities....

With the rise of Large Language Models (LLMs), a new capability has emerged in the AI landscape: LLM agents. Distinct from traditional AI models that respond passively to isolated prompts, LLM agents are designed to function as dynamic, autonomous assistants....

As NLP (Natural Language Processing) models become a part of our daily lives, objectively evaluating their performance is more important than ever. BLEU and ROUGE are two of the most commonly used metrics for evaluating how accurately a model generates,...