NEWS IN BRIEF: AI/ML FRESH UPDATES

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Unraveling Causality: Harnessing Causal Graphs in Machine Learning

Article explores integration of causal reasoning into ML with causal graphs. Causal graphs help disentangle causes from correlations, essential in causal inference. ML lacks ability to answer causal questions due to spurious correlations, confounders, colliders, and mediators. Structural causal models (SCM) offer a solution by modeling causal relationships and accounting for complexities.

Enhancing Truthfulness in LLM Applications

Enhancing truthfulness in Retrieval Augmented Generation (RAG) outputs by mitigating hallucinations and reliance on pre-trained knowledge. Emphasizing groundedness and completeness in RAG outputs through fine-tuning Large Language Models and element-aware summarization, with scalable evaluation metrics like LENS and CoT.

Behind Altman's Firing: Internal Politics, Not Scary Tech

OpenAI appoints three new board members, including Sue Desmond-Hellmann and Nicole Seligman, after independent review clears CEO Sam Altman of any wrongdoing. Altman rejoins the board, bringing diversity and stability to the company's leadership amid scrutiny over board composition and leadership changes.