Ai2 released Tülu 3, a model that makes fine-tuning open-source LLMs easier and get its performance closer to closed LLMs like GPT-4o.

As business leaders adopt generative AI they must decide whether to build their AI capabilities using open-source or rely on ...

Regulators, start-ups and Big Tech are split into two camps in the open versus closed source artificial intelligence debate, where safety and profit take precedence. The battle between generative ...

Both of these licensing models enable the user to fine tune and customize the AI model and avoid paying licensing fees. But ...

Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases.

As explained in the report from CBInsights, the core difference lies in access: closed-source approaches “keep model details and weights proprietary, while open-source development makes these ...

Open source models need to figure out a business model that works over the long term while closed models must address ethical concerns head-on, with behavioral guardrails and oversight in place.

So there isn’t much difference between open and closed source in that respect. Is open sourcing potentially dangerous depending on the type of AI in question? The ways in which Stable Diffusion ...

Deciding between open and closed-source solutions involves carefully weighing up the specific requirements of your business as well as its strategic goals. Of course, budget considerations will ...

Open-source AI models are available to any interested researchers or developers who can manipulate the models' code. Think something like the difference between Apple's iOS operating system, which ...