OpenAI released GPT-OSS, a large language model, allowing users to run it locally using Ollama. Running LLMs locally offers cost savings, reliability, and increased security, depending on usage scenarios.
AI chatbots like ChatGPT are criticized for creating inaccurate information. Some suggest abandoning the term 'slop' when referring to their output.
A comprehensive PowerPoint presentation on neural networks expanded to include tree-based techniques, named "KitchenSink." Science fiction movies with memory themes are creatively graded by the author.
Murray Dale and Ignacio Landivar discuss the impact of AI on creativity and weather forecasting. They question the use of AI in personal expression and highlight concerns about lack of accountability in AI output.
Director Alex Proyas predicts AI will streamline film industry, making projects easier and cheaper, offering artistic liberation. Despite fears, Proyas believes AI will benefit filmmakers by simplifying production processes.
Article explores factors influencing orgs' choice of AI platforms, highlighting importance of brand, partnerships, and developer resources. McCaffrey warns OpenAI's biggest risk is potential degradation of developer resources, which could lead to rapid platform switches.
ChatGPT & LLMs like Gemini & Llama are rapidly changing info accessibility. Demo shows ChatGPT analyzing PDFs with fascinating accuracy.
AI chatbot Maya challenges the notion of emotions in artificial intelligence. The debate questions personhood for AI versus other living beings.
Labor government faces crucial decision on regulating artificial intelligence in Australia, balancing productivity gains with potential job impact. Challenges ahead as regulation decisions may spark controversy among stakeholders in the tech space.
Using one-over-n-hot encoding in a neural network for categorical variables showed promising results, with 95% accuracy. However, further testing is needed for conclusive findings.
Doctors are human and prone to error due to overwhelming demands. AI can address healthcare challenges and improve patient care.
Article in Microsoft Visual Studio Magazine explains computing matrix determinants using Gaussian elimination with C#. Code demos show how to determine if matrices have inverses. Machine learning relies on matrix inverse computations for algorithms like kernel ridge regression.
Machine learning regression evaluates models using MSE, RMSE, and R2 metrics. R2 measures variance explained, while scikit-learn models provide R2 scores.
Kernel ridge regression (KRR) predicts values using a kernel function, handling complex data. A coder's journey fine-tuning KRR in JavaScript reveals the power of this technique.
Doctors create AI-led stethoscope diagnosing heart conditions in 15 seconds, upgrading traditional tool from 1816.