Ghostscript Flaw Exposes Millions to Remote Code Execution Risk

The Ghostscript document conversion toolkit, an integral part of many Linux distributions, has recently been identified…

GitHub Copilot Lawsuit Narrows: A Legal Battle Over AI and Copyright in Software Development

In a significant legal development, a lawsuit against GitHub, Microsoft, and OpenAI concerning the GitHub Copilot…

Navigating the Complex World of AI Tokenization: Challenges and Future Directions

Generative AI models, including the likes of OpenAI’s GPT-4, rely on a process called tokenization to…

Meta’s Multi-Token AI Models Promise Faster, Efficient Language Training

Meta has recently announced a significant update in the realm of artificial intelligence with the introduction…

Supply Chain Cyberattack Exposes 384,000 Websites to Malicious Redirects

A recent surge in cybersecurity threats has highlighted a significant vulnerability in the digital supply chain…

Boosting GPU Memory with Panmnesia’s CXL-Opt: Faster Data Processing via PCIe Expansion

As we navigate the demands of more complex datasets in AI training, GPUs are often limited…

Cocoapods Flaws Expose Thousands of iOS and MacOS Apps to Potential Attacks

Recent discoveries of critical vulnerabilities in Cocoapods, a prominent dependency manager for Swift and Objective-C programming…

Optimizing AI Costs with Smart Query Routing: Introducing RouteLLM

Large Language Models (LLMs) like GPT-4 have become central to many applications due to their ability…

RegreSSHion Vulnerability Exposes Millions of Linux Servers to Remote Code Execution

A newly discovered vulnerability in OpenSSH, named “regreSSHion” and tracked as CVE-2024-6387, poses a serious risk…

The Future of RAG and Potential Alternatives

Following article is the final part in series dedicated to RAG and model Fine-tuning. Part 1,…

RAG vs Fine-Tuning: Understanding RAG Meaning and Applications in LLM AI Systems, Part 3.

Following article is the third part in series dedicated to RAG and model Fine-tuning. Part 1,…

RAG vs Fine-Tuning: Understanding RAG Meaning and Applications in LLM AI Systems, Part 2.

Following article is the second part in series dedicated to RAG and model Fine-tuning. Part 1,…

RAG vs Fine-Tuning: Understanding RAG Meaning and Applications in LLM AI Systems, Part 1.

Following article is the first part in series dedicated to RAG and model Fine-tuning. Part 2,…