Don’t do RAG: CAG is all you need for knowledge tasks
Understand the distinctions between Retrieval and Cache-Augmented Generation; find out how CAG improves speed while RAG handles real-time information
#llm
Posts tagged #llm
Google Just Dropped Transformer 2.0: Meet "Nested Learning"
I’m sitting here with a hot cup of coffee, about halfway through Google’s new paper on "Nested Learning," and I have to be honest: I need to get this out of my head and onto the screen. Usually, when a big lab drops a paper, I skim the abstract, nod ...
VibeVoice 1.5B: Four Distinct Voices, 90 Minutes and a Leap Forward for Text‑to‑Speech
An open-source text-to-speech model built for long-form, multi-speaker dialogue.
Function Calling vs. Model Context Protocol (MCP): What You Need to Know
MCP provides a unified and standardized framework for connecting LLM with external data and tools.
RAG vs. Fine-Tuning: Which Is Best for Enhancing LLMs?
When it comes to enhancing the capabilities of large language models (LLMs), two powerful techniques stand out: RAG (Retrieval Augmented Generation) and fine-tuning. Both methods have their strengths and are suited for different use cases, but choosi...
How I Hacked Large Language Models(LLMs) Using Prompt Injection (And It Worked)
I recently embarked on an exciting research journey to explore the vulnerabilities of large language models (LLMs) like ChatGPT, Anthropic Gemini, and similar models. My goal was to see how hackers could exploit them through prompt injection attacks....
