DEV.co Expands Internal Capabilities for Custom Python Development, Servicing Custom LLM & AI Deployments

Firm strengthens engineering resources to support private LLM deployments, AI automation, and enterprise data pipelinesSeattle-Tacoma, WA, ...

Orq.ai Launches Standalone AI Router, Addressing Enterprise Sovereignty and Cost Control Demands

European AI development platform responds to rising AI costs, infrastructure lock-in and sovereignty demands as routing ...

Scientel Announces Gensonix AI LLM For AMD Radeon Series GPUs

Gensonix AI DB efficiency combined with the power of Meta's Llama 3B model and AMD's Radeon GPU architecture makes LLMs ...
Geeky Gadgets

Dify Makes Self-Hosted LLM Development Simple : Swap Models, Add RAG & Launch Faster

What if you could create powerful, AI-driven applications without writing a single line of code, all while keeping your data secure and fully under your control? Below, Better Stack breaks down how ...

Manifold-Constrained Hyper-Connections: The Architectural Breakthrough That Might Redefine LLM Training

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
Psychology Today

Debugging Overconfidence: Is AI Too Sure of Itself?

AI doesn’t just simulate human thinking and language—it mimics our cognitive biases too. Overconfidence is one of the most powerful and overlooked issues.
Communications of the ACM

LLM Evaluation is Key to Accurate, Reliable, Effective GenAI

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...
MIT Technology Review

Is a secure AI assistant possible?

AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once ...