large language models

A Hands-On Guide to Anthropic’s Recent Structured Output Capabilities

announced Structured Outputs for its top models in its API, a brand new feature designed to be sure that model-generated outputs exactly match the JSON Schemas provided by developers.  This solves an issue many...

The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)

of the universe (made by one of the vital iconic singers ever) says this: Wish I could returnAnd alter these yearsI’m going through changesBlack sabbath – Changes This song is incredibly powerful and talks about...

The Rise of Semantic Entity Resolution

. Semantic entity resolution uses language models to bring an increased level of automation to schema alignment, blocking (grouping records into smaller, efficient for all-pairs comparison at quadratic, n² complexity), matching and even ...

Generalists Can Also Dig Deep

You studied economics, then learned to code and moved through product, growth, and now hands-on AI constructing. What perspective does that generalist path provide you with that specialists sometimes miss? I’m undecided.  People see generalists as...

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...

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