Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...

Hackers target misconfigured proxies to access paid LLM services

Threat actors are systematically hunting for misconfigured proxy servers that could provide access to commercial large ...

Google: Don’t make “bite-sized” content for LLMs if you care about search rank

We probably won’t see chunking go away as long as publishers can point to a positive effect. However, Google seems to feel ...

Inogic Brings AI-Powered Enhancements to WhatsApp Messaging Inside Dynamics 365 CRM

With AI-powered features in WhatsApp4Dynamics, we’re enabling businesses to move beyond routine replies and towards ...

Ask An SEO: Can AI Systems & LLMs Render JavaScript To Read ‘Hidden’ Content?

What are the differences between how AI systems handle JavaScript-rendered or interactively hidden content compared to ...

Unearthing experimental materials data buried in scientific papers using LLMs

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Meta’s Vision-Language Shift VL-JEPA Beats Bulky LLMs

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers ...
MIT Technology Review

LLMs contain a LOT of parameters. But what’s a parameter?

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...
GitHub

Agentic RAG APP with FastAPI, Ollama and Vue.js UI

The fantastic LangGraph's Agentic RAG moves beyond simple retrieval to intelligent, goal-oriented problem-solving, making it powerful for complex, real-world applications. Agentic RAG improves answer ...
IEEE

Text-Driven Medical Image Segmentation With LLM Semantic Bridge and LLM Prompt Bridge

Abstract: Text-driven medical image segmentation aims to accurately segment pathological regions in medical images based on textual descriptions. Existing methods face two major challenges: (a) The ...
GitHub

Local LLM-assisted text completion for Qt Creator.

The plugin requires a llama.cpp server instance to be running at: The plugin aims to be very simple and lightweight and at the same time to provide high-quality and ...