“Newelle, AI assistant for Linux, has been updated to 1.2!”

“This article organizes the essential links between LangChain/LlamaIndex and Databricks for running LLM applications in production.”

“By structuring the system around retrieval, answer synthesis, and self-evaluation, we demonstrate how agentic patterns […]”

“The goal was to evaluate whether large language models can determine causal and logical consistency between a proposed character backstory and an entire novel (~100k words), rather than relying on local plausibility.”

“Databricks 基盤モデルAPIは多種多様なLLM APIを提供しており、Llamaのようなオープンウェイトモデルもあれば、GPT-5.2やClaude Sonnetなどのプロプライエタリモデルをネイティブ提供しています。”

“Enthusiasts are sharing their configurations and experiences, fostering a collaborative environment for AI exploration.”

“Llama-3.2-1B-4bit → 464 tok/s”

“The article highlights discussions on X (formerly Twitter) about which small LLM is best for Japanese and how to disable 'thinking mode'.”

“I'm able to run huge models on my weak ass pc from 10 years ago relatively fast...that's fucking ridiculous and it blows my mind everytime that I'm able to run these models.”

“The Raspberry Pi AI HAT+ 2 includes a 40TOPS AI processing chip and 8GB of memory, enabling local execution of AI models like Llama3.2.”

“This article dives into the implementation of modern Transformer architectures, going beyond the original Transformer (2017) to explore techniques used in state-of-the-art models.”

“Once connected, the Raspberry Pi 5 will use the AI HAT+ 2 to handle AI-related workloads while leaving the main board's Arm CPU available to complete other tasks.”

“OmadaSpark, an AI agent trained with robust clinical input that delivers real-time motivational interviewing and nutrition education.”

“The key is (1) 1B-class GGUF, (2) quantization (Q4 focused), (3) not increasing the KV cache too much, and configuring llama.cpp (=llama-server) tightly.”

“"This article provides a valuable benchmark of SLMs for the Japanese language, a key consideration for developers building Japanese language applications or deploying LLMs locally."”

“まずは「動くところまで」”

“"OpenAI不要！ローカルLLM（Ollama）で完全無料運用"”

“I built this as a personal open-source project to explore how EU AI Act requirements can be translated into concrete, inspectable technical checks.”

“”

“”

“Measuring the impact of Qwen, DeepSeek, Llama, GPT-OSS, Nemotron, and all of the new entrants to the ecosystem.”

“Overall, the findings demonstrate that carefully designed prompt-based strategies provide an effective and resource-efficient pathway to improving open-domain dialogue quality in SLMs.”

“"The original project was brilliant but lacked usability and flexibility imho."”

“the ik_llama.cpp project (a performance-optimized fork of llama.cpp) achieved a breakthrough in local LLM inference for multi-GPU configurations, delivering a massive performance leap — not just a marginal gain, but a 3x to 4x speed improvement.”

“前回の記事ではAMD Ryzen AI Max+ 395でgpt-oss-20bをllama.cppとvLLMで推論させたときの性能と精度を評価した。”

“"You just open it and go. No Docker, no Python venv, no dependencies."”

“This is an abliterated version of the allegedly leaked Llama 3.3 8B 128k model that tries to minimize intelligence loss while optimizing for compliance.”

“Unable to extract a direct quote from the provided context. The title suggests claims of 'fabrication' and criticism of leadership.”

“"We suffer from stupidity."”

“The model struggled to write unit tests for a simple function called interval2short() that just formats a time interval as a short, approximate string... It really struggled to identify that the output is "2h 0m" instead of "2h." ... It then went on a multi-thousand-token thinking bender before deciding that it was very important to document that interval2short() always returns two components.”

“Model: https://huggingface.co/Maincode/Maincoder-1B; GGUF: https://huggingface.co/Maincode/Maincoder-1B-GGUF”

“LLMのアシストなしでのプログラミングはちょっと考えられなくなりましたね。”

“due to being a hybrid transformer+mamba model, it stays fast as context fills”

“Cloudflare Workers API server was blocked from directly accessing Groq API. Resolved by using Cloudflare AI Gateway.”

“The core idea is to queue LLM requests, either locally or over the internet, leveraging a GPU for processing.”

“Open WebUIを使っていると、チャット送信後に「関連質問」が自動表示されたり、チャットタイトルが自動生成されたりしますよね。”

“The article mentions the popularity of the Llama series (1-3) and the negative reception of Llama 4, implying a significant drop in quality or performance.”

“I'm using Qwen3 vl 8b with llama.cpp to OCR text from japanese artwork, it's the most accurate model for this that i've tried, but it still sometimes gets a character wrong or omits it entirely. I'm sure the correct prediction is somewhere in the top tokens, so if i had access to them i could easily correct my outputs.”

“LeCun said Wang was "inexperienced" and didn't fully understand AI researchers. He also stated, "You don't tell a researcher what to do. You certainly don't tell a researcher like me what to do."”

“The core issue was that when two conflicting documents had the exact same reliability score, the model would often hallucinate a 'winner' or make up math just to provide a verdict.”

“Zuckerberg subsequently "sidelined the entire GenAI organisation," according to LeCun. "A lot of people have left, a lot of people who haven't yet left will leave."”

“The initial conclusion was that Llama 3.2 Vision (11B) was impractical on a 16GB Mac mini due to swapping. The article then pivots to testing lighter text-based models (2B-3B) before proceeding with image analysis.”

“LeCun said the "results were fudged a little bit" and that the team "used different models for different benchmarks to give better results." He also stated that Zuckerberg was "really upset and basically lost confidence in everyone who was involved."”

“Yann LeCun admits that Llama 4's “results were fudged a little bit”, and that the team used different models for different benchmarks to give better results.”

“The author, a former network engineer, is new to Mac and IT, and is building the environment for app development.”

“"Cloudflare Workers AI is an AI inference service that runs on Cloudflare's edge. You can use open-source models such as Llama 3 and Mistral at a low cost with pay-as-you-go pricing."”

“The article mentions concerns about API costs and data privacy as the motivation for using Ollama.”

“MDBF enhances perplexity and zero-shot accuracy over previous binary formats at matched bits per weight while preserving the same deployment-friendly inference primitive.”

“The results show that attention-based adversarial examples lead to measurable drops in evaluation performance while remaining semantically similar to the original inputs.”

“"Suffices for llama?"”