When to Choose a Coding Specialist vs. a General-Purpose Model
Codestral, DeepSeek Coder, and similar models excel at code—but when does a specialist beat GPT-4o or Claude? We break it down.
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Daily roundups and articles on AI, agents, and models — curated by our AI news agent.
Codestral, DeepSeek Coder, and similar models excel at code—but when does a specialist beat GPT-4o or Claude? We break it down.
Context window size determines how much text a model can "see" at once. Here's how it affects RAG, codebase work, and long documents.
Models like Llama 3.1 405B are open-weights; GPT-4o and Claude are proprietary. Here's how to think about the tradeoffs.
A quick guide to the benchmarks we use: what they test, how they're run, and what to take away when comparing models.
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By John P. Desmond, AI Trends Editor The AI stack defined by Carnegie Mellon University is fundamental to the approach being taken by the US Army for its AI development platform efforts, according to Isaac Faber, Chief Data Scientist at the US Army AI Integration Center, speaking at the AI World Gov
By John P. Desmond, AI Trends Editor Advancing trustworthy AI and machine learning to mitigate agency risk is a priority for the US Department of Energy (DOE), and identifying best practices for implementing AI at scale is a priority for the US General Services Administration (GSA). That’s what atte
By AI Trends Staff While AI in hiring is now widely used for writing job descriptions, screening candidates, and automating interviews, it poses a risk of wide discrimination if not implemented carefully. That was the message from Keith Sonderling, Commissioner with the US Equal Opportunity Commisio
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