generative AI

A brand new generative AI approach to predicting chemical reactions

Many attempts have been made to harness the ability of latest artificial...

Simpler models can outperform deep learning at climate prediction

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions...

LLM Monitoring and Observability: Hands-on with Langfuse

: You will have built a fancy LLM application that responds to user queries about a selected domain. You will have spent days organising the entire pipeline, from refining your prompts to adding context...

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...

What Does “Following Best Practices” Mean within the Age of AI?

Never miss a brand new edition of , our weekly newsletter featuring a top-notch number of editors’ picks, deep dives, community news, and more. AI’s footprint is growing rapidly across roles and industries. As generative-AI tools move...

Generating Structured Outputs from LLMs

interface for interacting with LLMs is thru the classic chat UI present in ChatGPT, Gemini, or DeepSeek. The interface is kind of easy, where the user inputs a body of text and the...

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...

Can AI really code? Study maps the roadblocks to autonomous software engineering

Imagine a future where artificial intelligence quietly shoulders the drudgery of software...

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