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 ...
XDA Developers on MSN

Docker Model Runner makes running local LLMs easier than setting up a Minecraft server

On Docker Desktop, open Settings, go to AI, and enable Docker Model Runner. If you are on Windows with a supported NVIDIA GPU ...

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 ...
Adweek on MSN

What ads in LLMs could look like by 2027

Ads in LLMs are coming, agency leaders say, but they're likely to look less like search results and more like contextual recommendations embedded directly within AI-generated answers.
Journal of Medical Internet Research

Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine

Large language models (LLMs) are rapidly advancing medical artificial intelligence, offering revolutionary changes in health care. These models excel in natural language processing (NLP), enhancing ...
IEEE

Decoding Activist Public Opinion in Decentralized Self-Organized Protests Using LLM

Abstract: Based on an investigation of online public opinion on the Nahel Merzouk protests in France, an approach for analyzing and predicting public opinion on protests based on large language model ...
IEEE

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities

Abstract: Large language models (LLMs) have received considerable attention recently due to their outstanding comprehension and reasoning capabilities, leading to great progress in many fields. The ...
GitHub

Evaluating Large Language Models using LLM-as-a-Judge

Evaluating large language models (LLM) is challenging due to their broad capabilities and the inadequacy of existing benchmarks in measuring human preferences. To address this, strong LLMs are used as ...