VentureBeat

New LLM optimization technique slashes memory costs up to 75%

Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...
College of Computing - Georgia Tech

Transformer Explainer Shows How AI is More Math than Human

This sets unrealistic expectations for AI and leads to misuse. It also slows progress toward building new AI applications.
VentureBeat

Microsoft’s Differential Transformer cancels attention noise in LLMs

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Improving the capabilities of large ...
InfoQ

Meta Open-Sources Byte Latent Transformer LLM with Improved Scalability

Meta open-sourced Byte Latent Transformer (BLT), an LLM architecture that uses a learned dynamic scheme for processing patches of bytes instead of a tokenizer. This allows BLT models to match the ...
InfoQ

Google DeepMind Announces LLM-Based Robot Controller RT-2

Google DeepMind recently announced Robotics Transformer 2 (RT-2), a vision-language-action (VLA) AI model for controlling robots. RT-2 uses a fine-tuned LLM to output motion control commands. It can ...
Forbes

Making LLMs Smart With Transformers: It’s A Really Big Deal

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Think about what LLMs do in practice. They power ever-evolving chatbots, AI “entities” that ...

LinkedIn updates feed algorithm with LLM-powered ranking and retrieval

The new feed system will analyze what users read, like, and discuss to connect related topics and push insightful posts to ...

Defense in Depth: Building Resilient LLM Systems

We’ve explored how prompt injections exploit the fundamental architecture of LLMs. So, how do we defend against threats that ...