large language models

3 Questions: The professionals and cons of synthetic data in AI

    MIT News,  Q:How are synthetic data created?A: Synthetic data are...

Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing?

Based on a technical paper from Google, accompanied by a blog post on their website, the estimated energy consumption of “the median Gemini Apps text prompt” is 0.24 watt-hours (Wh). The water consumption is...

Researchers glimpse the inner workings of protein language models

Throughout the past few years, models that may predict the structure or...

LLMs and Mental Health

who're paying close attention to the media coverage of AI, particularly LLMs, will probably have heard about a number of cases and trends around how people’s mental health may be affected by use...

Declarative and Imperative Prompt Engineering for Generative AI

refers back to the careful design and optimization of inputs (e.g., queries or instructions) for guiding the behavior and responses of generative AI models. Prompts are typically structured using either the declarative or...

AI Agent with Multi-Session Memory

Intro In Computer Science, identical to in human cognition, there are different levels of memory: Primary Memory (like RAM) is the energetic temporary memory used for current tasks, reasoning, and decision-making on current tasks. It holds...

Unpacking the bias of huge language models

Research has shown that enormous language models (LLMs) are inclined to overemphasize...

AI Is Not a Black Box (Relatively Speaking)

Summary: Opinion piece for the final TDS audience. I argue that AI is more transparent than humans in tangible ways. Claims of AI being a “black box” lack perspective and comparison to the opacity...

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