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A brief overview and discussion on gender bias in AICreated using MidjourneyFor International Women’s Day, I wanted to write a short article about gender bias in…

Image by Author  Anthropic has recently launched a new series of AI models that have outperformed both GPT-4 and Gemini in benchmark tests. With the AI…

As the hubs for patient care and medical administration, hospitals often manage vast amounts of paperwork and documentation. The traditional reliance on manual data entry consumes…

  “An ounce of prevention is worth a pound of cure” goes the old saying, reminding us that it’s easier to stop something from happening in…

Large Language Models (LLMs) and powerful vision encoders are combined to create Large Vision-Language Models (LVLMs). Models like GPT-4 and other large vision-language model systems have…

Google DeepMind researchers have revealed a pioneering approach called AtP* to understand the behaviors of large language models (LLMs). This groundbreaking method stands on the shoulders…

Using quantized models for memory-efficiencyA speculating llama — Generated by DALL-ELarger language models typically deliver superior performance but at the cost of reduced inference speed. For…

These hands-on projects were crucial for career transformationsPhoto of author with coworker at LinkedIn HQ in 2023 used with permission (source)How does someone get a dream…

Building and using appropriate benchmarks is a major driver of advancement in RL algorithms. For value-based deep RL algorithms, there’s the Arcade Learning Environment; for continuous…

Image by Author   Using Scikit-learn pipelines can simplify your preprocessing and modeling steps, reduce code complexity, ensure consistency in data preprocessing, help with hyperparameter tuning,…