Llm

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An analysis of why LLM API costs are likely to remain high in the short term due to vendor R&D, and a look at practical strategies for managing this significant expense.

Discover the key engineering strategies and massive infrastructure that enable services like ChatGPT to handle hundreds of millions of users, from the power of batched inference to advanced model optimization techniques.

Developers share their practical setups, workflows, and pain points for running LLMs locally. Discover why privacy, coding assistance, and offline access are driving the shift away from the cloud.

Users are growing tired of overly agreeable and inaccurate AI responses. Discover the common frustrations with LLMs like ChatGPT and the clever workarounds people are using to get better, more critical results.

The term 'vibe coding' has emerged to describe AI-assisted programming, but what does it really mean? Explore the debate between relying on AI intuition and using structured, specification-driven approaches for maximum productivity.

An exploration of AI-powered video summarization reveals that while the user need is strong, the idea is already being implemented by YouTube itself and through existing tools. Learn about the challenges, DIY methods, and the more viable strategy of niche content curation.

Discover why AI models tend to be conservative, from their training data mirroring our world to the deliberate safety and commercial controls placed upon them. Learn how you can even make a local AI more unpredictable.

Explore the core reasons for skepticism surrounding Large Language Models, moving beyond simplistic explanations to address technical limitations, ethical concerns, and the gap between hype and practical reality.

Exploring the use of AI to draft legal documents to save on high lawyer fees. Learn about the significant risks involved, safer DIY alternatives, and a novel (but complex) AI workflow.

Explore why modern AI like LLMs aren't used for game opponents, delving into the critical difference between a 'smart' AI and a 'fun' one, and the technical hurdles that prioritize classic game AI.