Gemini 2.5 Pro is here with bigger numbers and great vibes
Just a few months after releasing its first Gemini 2.0 AI models, Google is upgrading again. The company says the 2.5 Pro ...
InfoWorld1d
Databricks’ TAO method to allow LLM training with unlabeled data
Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said ...
The TAO of data: How Databricks is optimizing AI LLM fine-tuning without data labels
New approach flips the script on enterprise AI adoption by using input data you already have for fine-tuning instead of needing labelled data.
Anthropic researchers reveal new findings on how LLMs ‘think’
One way developers can check an LLM’s reliability is by asking it to explain how it answers prompts. While studying Claude’s ...
Your Essential Primer On Large Language Model Agent Tools
In this article, I'll share my experience navigating the landscape of various agent frameworks through a practical comparison ...
METASCALE improves LLM reasoning with adaptive strategies
A new framework called METASCALE enables large language models (LLMs) to dynamically adapt their reasoning mode at inference time. This framework addresses one of LLMs’ shortcomings, which is using ...
The Open-Source LLM Revolution: Transforming Enterprise AI For A New Era
Together, these open-source contenders signal a shift in the LLM landscape—one with serious implications for enterprises ...
A Powerbook G4 is barely fast enough to run a large language model
A software developer has proven it is possible to run a modern LLM on old hardware like a 2005 PowerBook G4, albeit nowhere ...
Sportschosun (English) on MSN6d
Seoul National University Hospital Develops Korea's First Korean Medical Giant Language Model (LLM)...Accuracy 86.2%
Seoul National University Hospital recently announced that it has developed the first Korean Medical Large Language Model ...
Science Daily1d
Repetitive behaviors and special interests are more indicative of an autism diagnosis than a lack of social skills
People with autism are typically diagnosed by clinical observation and assessment. To deconstruct the clinical decision process, which is often subjective and difficult to describe, researchers used a ...