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 ...
JD Supra

Using a Multi-LLM Platform for Investigations and Ediscovery: Smarter and Way More Cost-Effective

[EDRM Editor’s Note: The opinions and positions are those of John Tredennick, Dr. William Webber and Lydia Zhigmitova.] The legal industry is witnessing a revolution with the adoption of AI for its ...
Geeky Gadgets

The Secret to Cutting API Costs by 90% with Generative AI

What if the solution to skyrocketing API costs and complex workflows with large language models (LLMs) was hiding in plain sight? For years, retrieval-augmented generation (RAG) has been the go-to ...
CSOonline

LLMjacking: How attackers use stolen AWS credentials to enable LLMs and rack up costs for victims

Users of AI cloud services such as Amazon Bedrock are increasingly being targeted by attackers who abuse stolen credentials in a new attack dubbed LLMjacking. The black market for access to large ...
InfoWorld

LiteLLM: An open-source gateway for unified LLM access

LiteLLM allows developers to integrate a diverse range of LLM models as if they were calling OpenAI’s API, with support for fallbacks, budgets, rate limits, and real-time monitoring of API calls. The ...
Hosted on MSN

Alibaba's ZeroSearch method uses simulated search results to slash LLM training costs

A team of AI researchers at the Alibaba Group's Tongyi Lab, has debuted a new approach to training LLMs; one that costs much less than those now currently in use. Their paper is posted on the arXiv ...