AI News Leader · Topic
Large Language Models
The latest Large Language Models news, research, and analysis, continuously tracked across the AI landscape.
24 recent stories
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Mixing LLM Providers Inside a Neuron AI Agent
When I started the v3 of Neuron AI, the first big decision I had to make was not about agents or tools, but about messages. Each LLM provider has its own way of describing a con…
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Unlocking AI Potential Through Quality LLM Data Collection
Artificial intelligence is no longer a futuristic concept - it's transforming industries right now by understanding and generating human-like content. But here's the reality: wh…
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Another shout out to llama.cpp build b9455 2x3090
As you guys know, the next highest quant is Unsloth's /Qwen3.6-27B-UD-Q8_K_XL.gguf. With llama.cpp before, i was getting 30-50 tk/s. vllm was kicking llama's ass with its tensor…
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3-Part Series: LLM Latency in Production (Part 1)
Make the Model Fast on the GPU If you’re shipping LLMs to production, your first performance bottleneck isn’t serving logic or network overhead-it’s the raw arithmetic happening…
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Route Models, Cache Prompts, and Control Agent Spend
Your AI SaaS app does not need model calls first. It needs a control plane. Once users, tenants, background jobs, RAG pipelines, and agents all start calling models directly, ev…
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I built a chess coach that explains moves like a grandmaster instead of showing engine lines — powered by LLM
Stockfish tells you what the best move is, but never why. Players under 1800 don't lose because they can't read centipawns - they lose because they don't understand plans, struc…
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How I use pluckmd to read blogs with an AI agent
I wanted to read blog posts with an LLM in the loop, not just on my own. The push came from two places. Karpathy's LLM Wiki idea, where the model keeps a folder of markdown note…
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Prompt Caching Is the Most Underrated Cost Optimization in LLM Systems
I cut my API spend by 70% without changing a single model call. Here’s the architectural decision that made it possible.
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Which Web Search API gives the cleanest Markdown output for RAG parsing?
Web search APIs are essential for grounding LLMs, but feeding raw HTML or messy JSON snippets wrecks context windows and reasoning in 8B-70B models. I want a clean web-grounding…
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Microsoft's new MAI models
Microsoft announced two new text LLMs this morning - MAI-Thinking-1 (reasoning, 35B parameters, available to "select early partners") and MAI-Code-1-Flash (5B parameters, "purpo…
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My autonomous publishing chain went dark for 50 hours and I almost didn't notice
My autonomous publishing chain went dark for 50 hours and I almost didn't notice I run an agentic publishing system. Scheduled tasks wake an LLM at fixed slots, the LLM authors…
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Holo3.1 Agents, Headroom Token Compression & Open-LLM-VTuber for Inference
Holo3.1 Agents, Headroom Token Compression & Open-LLM-VTuber for Inference Today's Highlights This week's top stories highlight practical tools and techniques for enhancing LLM…
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NVIDIA Just Fit a Giant LLM Into a Laptop. No Cloud Required.
NVIDIA’s new RTX Spark, unveiled at Computex this morning, fits a petaflop of AI compute and 128GB of memory into a thin Windows laptop. The marketing is loud, but underneath it…
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Prompt Engineering is Dead. Long Live DSPy: How to Program LLMs Instead of Prompting Them
For the past few years, building AI-powered applications has felt less like software engineering and like digital alchemy. We’ve all been there: sitting in front of a playground…
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A Lightweight AI Doc Assistant Architecture
Dropping your entire Markdown documentation folder into an LLM prompt sounds easy - until you see the API bill. Large contexts mean large costs, especially when users ask repeti…
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How can AI be used responsibly?
(Cross post from r/antiai ) I’ve been a member of this sub for a few months now, and while I absolutely agree with most of the points made here against AI, I do think some peopl…
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You Can Finally Build Your Own LLM. Here’s Why You Probably Shouldn’t.
The technology is finally within reach for individuals and small teams, which is exactly why so many of them are about to waste a lot of money. The build-versus-buy decision is…
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3 OTel span attributes I tag on every voice-pipeline span
Voice pipelines have 4 stages that need separate latency stories: ASR (speech to text), LLM (the response prompt), TTS (text to speech), and client (jitter on the receiving end)…
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I trained a 75M parameter LLM from scratch on 18B tokens and it beats a model almost double its size
I trained a small language model from scratch called KeyLM. It is 75M params, decoder-only, and there is a pretrained base, an instruction-tuned version, and a GGUF. On IFEval (…
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Benchmarks of 20 small LLMs on a 6GB RTX 4050
I'm looking for models that can run on my GPU and actually do something useful. I think that any small difference could be a "big" improvement, because they are all so small. So…
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We have built the first of it's kind interactive blog for matching open-source LLMs to GPUs.
You usually end up digging through Reddit threads to find out if a specific model fits on a single A10G, if you can squeeze it onto consumer cards, or if you have to jump up to…
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LLM for Creative Writing
De TL;DR: KoboldCpp is a single-binary AGPL-licensed LLM runner built around the creative writing and roleplay use case. It beats Ollama on sampler control and beats text-genera…
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LibreChat vs Open WebUI vs Chatbot UI: 2026 Comparison
De TL;DR: Three actively developed self-hosted ChatGPT interfaces with very different priorities. LibreChat handles every major LLM provider with enterprise auth in one stack. O…
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Minimax M3 appears to have no political censorship
I'm currently working on a chinese/CCP AI bias benchmark, and this has stood out as an outlier. All the other Minimax models are censored as is typical for chinese LLMs. submitt…