Explores the role of Large Language Models (LLMs) in AI, covering major model families, providers, and concepts like hallucinations.
Explores the limitations of using large language models as substitutes for human opinion polling, highlighting issues of representation and demographic weighting.
Explores the common practice of developers assigning personas to Large Language Models (LLMs) to better understand their quirks and behaviors.
The article argues that AI's non-deterministic nature clashes with traditional computer interfaces, creating a fundamental human-AI interaction problem.
A hands-on guide for JavaScript developers to learn Generative AI and LLMs through interactive lessons, projects, and a companion app.
Explores how increasing 'thinking time' and Chain-of-Thought reasoning improves AI model performance, drawing parallels to human psychology.
Explores how AI tools like LLMs are transforming software engineering roles, workflows, and required skills in 2025, moving beyond code generation to strategic design.
An introduction to reasoning in Large Language Models, covering concepts like chain-of-thought and methods to improve LLM reasoning abilities.
Explores recent research on improving LLM reasoning through inference-time compute scaling methods, comparing various techniques and their impact.
An analysis of the ethical debate around LLMs, contrasting their use in creative fields with their potential for scientific advancement.
Explores four main approaches to building and enhancing reasoning capabilities in Large Language Models (LLMs) for complex tasks.
Explores how AI will soon enable rapid novel creation through prompting and verbal narration, transforming the writing process.
A developer details using AI coding assistants like Cline and LLMs (Claude, Gemini) to redesign a SaaS platform's UI/UX and generate documentation.
A researcher reflects on 2024 highlights in AI, covering societal impacts, software tools like Scikit-learn, and technical research on tabular data and language models.
A Google researcher's curated review of key AI research papers from 2024, covering LLMs, new architectures, agents, and security.
fast.ai announces a new 'AI-first' course, 'How To Solve It With Code,' and its integration into Answer.AI, focusing on Dialog Engineering for collaborative coding.
Explains how multimodal LLMs work, reviews recent models like Llama 3.2, and compares different architectural approaches.
Explains how multimodal LLMs work, compares recent models like Llama 3.2, and outlines two main architectural approaches for building them.
Explores whether large language models like ChatGPT truly reason or merely recite memorized text from their training data, examining their logical capabilities.
A technical guide on deploying Meta's Llama 3.2 Vision model on Amazon SageMaker using the Hugging Face LLM DLC.
