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 ...

Apple AI research shows how MLLMs understand, generate, search for images

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

Testing AI-Infused Applications: Strategies for Reliable Automation

AI is transforming the software landscape, with many organizations integrating AI-driven workflows directly into their ...
Devdiscourse

Healthcare’s new gatekeeper is AI and the risks are just emerging

The evidence shows that, under controlled conditions, LLM judges can align closely with clinician judgments on concrete, ...
Destination CRM

How to Pick the Best LLM for Your Sales Activities

Since the introduction of OpenAI’s ChatGPT a little more than a year ago, large language models have captured the imagination of sales professionals, who are eager to see how generative artificial ...
XDA Developers on MSN

Forget about Perplexity, this self-hosted tool does it with your local LLM

While there are countless options for self-hosted answering engines that function similarly to Perplexity, two of the most ...
Hosted on MSN

Context7 is the most underrated MCP server you're not using for your local LLM

Model Context Protocol enables a Large Language Model (LLM) to do a lot more than just answer questions. Acting as a translator between the model and the digital world, it can abstract data from a ...
Forbes

Here’s How Big LLMs Teach Smaller AI Models Via Leveraging Knowledge Distillation

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the rising tendency of employing ...