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When to Use Retrieval Augmented Generation (RAG) vs. Fine-tuning for LLMs

Developers often use two prominent techniques for enhancing the performance of large language models (LLMs) are Retrieval Augmented Generation (RAG) and fine-tuning. Understanding when to use one over the other is crucial for maximizing efficiency and effectiveness in various applications. This blog explores the circumstances under which each method shines and highlights one key advantage of each approach.

Brazil Temporarily Halts Meta's AI Data Processing Over Privacy Concerns

Brazil's data protection authority, Autoridade Nacional de Proteção de Dados (ANPD), has issued a temporary ban on Meta from processing personal data of users to train its artificial intelligence (AI) algorithms. This decision stems from concerns over inadequate legal justification, lack of transparency, and potential risks to privacy rights, particularly for children and adolescents.

Understanding LLM Evaluation Metrics for Better RAG Performance

In the evolving landscape of artificial intelligence, Large Language Models (LLMs) have emerged as pivotal technology, driving advancements in natural language processing and generation. LLMs are critical in various applications, including chatbots, translation services, and content creation. One powerful application of LLMs is in Retrieval-Augmented Generation (RAG), where the model retrieves relevant documents before generating responses.

From skeptic to advocate: My journey to embracing AI

For years, we as security practitioners were promised that AI and machine learning would change our lives for the better, but time and time again, the companies that touted this technology disappointed us. In the first decade or so of AI-branded security tools, we saw plenty of products that demoed well, but were completely undeployable.

The Significance of the Number 42 in the New ISO AI Standard

The number 42 has gained legendary status in popular culture, largely due to Douglas Adams’ science fiction series, The Hitchhiker’s Guide to the Galaxy. In this series, a group of hyper-intelligent beings build a supercomputer named Deep Thought to calculate the “Answer to the Ultimate Question of Life, the Universe, and Everything”. After much contemplation, Deep Thought reveals the answer to be simply “42”.

Leaked passwords, no passwords, and AI generated captions for video

In this week’s episode, we explore the realm of passwords, leaked passwords, two-factor authentication (2FA), and also AI generated captions for video. Host João Tomé is joined by Garrett Galow, Director of Product at Cloudflare, to discuss a recent blog post on how we help keep customers safe through leaked password notifications accessible via our dashboard. We also discuss the use of passwords in 2024, the importance of 2FA or multi-factor authentication like hardware keys, offer suggestions, and explore how passwords might become less common in the future.
Featured Post

Why regulation is the cornerstone of AI development

By now, we're very familiar with the game-changing potential of AI. The rapid rise of ChatGPT has shown us just how quickly the technology has gone from concept to the palm of our hands. AI has the ability to dramatically accelerate workflows, and subsequently free up businesses to focus on strengthening their security and build customer trust. Why then is the UK's security industry so short on confidence when it comes to using it? One reason: a lack of regulation.