Tags: LLM
Microsoft’s Python utility "MarkItDown," recently released on GitHub, is gaining attention for its ability to convert diverse file types—such as PDFs, images, and audio—into Markdown for use in LLM pipelines.
StepFun has open-sourced its Flash model, Step 3.7 Flash, redefining cost efficiency and multimodal understanding in the AI landscape.
A case study of acquiring the "Tesla V100 SXM2" GPU, originally designed for data centers, for just £200, and integrating it into a gaming PC. Explore the benefits of its HBM2 memory bandwidth and learn about the unconventional approach using an adapter.
OpenRouter, an AI model routing platform, raises $113 million in Series B funding led by Alphabet's CapitalG, with support from NVIDIA and ServiceNow. Weekly token processing volume grows fivefold in six months.
A comprehensive comparison of the leading local AI agents in 2026—Ollama, llama.cpp, and LocalAI. Learn about their features, performance, use cases, and how to choose the best one for your needs.
A new study reveals that even when explicitly warned about "falsehoods," LLMs tend to continue believing incorrect information. This finding could have significant implications for AI training data quality management.
A practical guide to reducing operational costs in AI agent development. Covers token optimization, caching strategies, and efficient architecture design.
An analysis of the current use of AI as software designers, exploring pitfalls like consent bias and lack of contextual understanding.
A detailed comparison of the top three AI agent frameworks—AutoGen, LangGraph, and CrewAI. This guide helps you choose the best option for your project by analyzing their core philosophies, ease of use, and applicable use cases.
Researchers at Microsoft Research reveal that even the latest AI models encounter errors in long-duration workflows. Among 52 domains tested, only Python programming met the benchmark.
With the rapid evolution of AI technology, specialized terms are proliferating. This article simplifies key terms like AGI, AI agents, and RAG for beginners.
The Claude Code team at Anthropic recommends HTML over Markdown for AI output, highlighting the potential of SVG and interactive elements to enhance comprehension.
OpenAI's latest model, GPT-5.5, boasts improved token efficiency, but analyses show its usage costs have increased up to double compared to GPT-5.4.
Version 0.31 of the LLM plugin 'llm-gemini' developed by Simon Willison has been released. The main change is that Google's Gemini 3.1 Flash-Lite model has moved from preview to official status.
A comprehensive guide for beginners covering the fundamentals of multi-agent systems, design patterns, and implementation methods using major frameworks.
A comprehensive introduction covering AI agent basics, major frameworks, implementation patterns, and security design. A systematic learning guide for beginners to intermediate users.
AI agent orchestration is a technology that coordinates and manages multiple AI agents to automate complex tasks. We comprehensively explain its mechanisms, major frameworks, implementation methods, and practical use cases.
RAG is a technology that allows large language models to generate accurate answers by referencing external data. This article comprehensively explains its mechanisms, benefits, implementation methods, and specific examples.
Simon Willison cites the base instructions of OpenAI Codex, explaining the internal directives of this code-generating AI and its impact on developers.
A new technology utilizing Google's "TurboQuant" algorithm enables the large language model "Gemma 4" to run directly in browsers. When combined with Excalidraw, users can create unlimited AI-generated flowcharts without APIs or fees.
Anthropic has substantially revised the system prompt for Claude Opus 4.7. Experts analyze the background of the behavioral shifts and their implications for AI developers and users, marking a new stage in LLM evolution focused on security enhancement and user experience optimization.
An LLM-based cognitive agent framework 'NuHF Claw' is proposed for digitalized nuclear power plant control rooms. A new development in safety AI that constrains risks and supports operator decision-making.