News

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks
By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would be too difficult or expensive for either method ...
Forget megabucks Nvidia GPUs, apparently all you need to run an LLM is a Pentium II CPU from 1997
Conventional wisdom says you need a mountain of Nvidia GPUs at about $50,000 a pop to have a chance of running the latest AI ...
Virtualization Review10d
AI's Heavy Hitters: Best Models for Every Task
In today's crowded AI landscape, organizations looking to leverage AI models are faced with an overwhelming number of options ...
Physician's Weekly9d
Comparing LLM-Based Education for Early Diabetic Kidney Disease
The following is a summary of “Comparison of artificial intelligence-generated and physician-generated patient education ...
PWM12d
Exploring potential of large language models for investment firms
Hoping for rapid return on investment generated by innovations in artificial intelligence such as large language models can ...
InfoWorld4d
Why LLM applications need better memory management
Generative AI applications don’t need bigger memory, but smarter forgetting. When building LLM apps, start by shaping working ...
Why Google Gemini’s Pokémon success isn’t all it’s cracked up to be
Before you start using this achievement as a way to compare the relative performance of these two AI models—or even the ...
SiliconANGLE24d
DataDome adds LLM detection and intent-based AI models to enhance fraud protection
The company’s platform now automatically groups all LLM crawlers and AI agents into a dedicated category, offering visibility into which models are accessing digital assets, how often and for ...