Why do LLMs make stuff up? New research peers under the hood.
Anthropic's research reveals insights into how large language models determine when to respond or refrain from answering questions, addressing AI confabulation.
Why do LLMs make stuff up? New research peers under the hood.
Anthropic's research reveals insights into how large language models determine when to respond or refrain from answering questions, addressing AI confabulation.
DeepSeek goes beyond "open weights" AI with plans for source code release
Open source AI should include training code and data details to meet formal definitions and improve transparency, replicability, and understanding of models.
DeepSeek goes beyond "open weights" AI with plans for source code release
Open source AI should include training code and data details to meet formal definitions and improve transparency, replicability, and understanding of models.
Neuro-Symbolic Reasoning Meets RL: EXPLORER Outperforms in Text-World Games | HackerNoon
Text-based games (TBGs) represent a significant aspect of NLP, where agents must combine natural language understanding with reasoning, linking linguistic elements to decision-making.
How to run a local LLM as a browser-based AI with this free extension
Using a local LLM like Ollama for AI research provides better security and control than querying remote models, emphasizing a preference for local deployment.