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
Dec 18, 20256 min read464
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#llm
Articles tagged with #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 ...
Dec 16, 20255 min read3.0K
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.
Aug 27, 20257 min read254
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.
Mar 14, 20255 min read4.0K
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...
Oct 23, 20246 min read641
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....
Sep 30, 20246 min read312