Genspark’s autonomous AI agents prove that less control beats rigid workflows, forcing enterprise AI leaders to rethink...
large language models (LLMs)
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MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.Read More
Patients using chatbots to assess their own medical conditions may end up with worse outcomes than conventional...
A new framework called AlphaOne is a novel way to modulate LLM thinking, improving model accuracy and...
Anthropic’s open-source circuit tracing tool can help developers debug, optimize, and control AI for reliable and trustable...
S3 decouples RAG search from generation, boosting efficiency and generalization for enterprise LLM applications with minimal data.Read...
Google’s “sufficient context” helps refine RAG systems, reduce LLM hallucinations, and boost AI reliability for business applications.Read...
Without a strong push from AI companies to combat sycophancy and other dark patterns, the default trajectory...
By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would be too...
Mem0’s architecture is designed to LLM memory and enhance consistency for more reliable agent performance in long...
