ggml-org/llama.cpp
LLM inference in C/C++
llama
Accounting AI: Prompts, Skills, Connected Work & Agents
A practical guide to AI in Accounting AI: Prompts, Skills, Connected Work & Agents — the tools, workflows, prompts, and implementation advice your team can actually use.
Behold the pawpaw, the tropical ‘alien banana’ that grows right here in Canada
The pawpaw fruit tastes of banana, mango and pineapple and was once abundant across parts of North America, but it can still be found growing wild and in some orchards.
ClusterMAX 3.0: The Industry Standard GPU Cloud Rating System Returns
In gory detail: reliability, performance, support, pricing—and, of course, security—in our most thorough analysis of GPU cloud providers globally.
GitHub - open-webui/open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
User-friendly AI Interface (Supports Ollama, OpenAI API, ...) - open-webui/open-webui
https://www.kdnuggets.com/7-open-source-alternatives-to-chatgpt-you-can-run-locally
The AI Inference Revolution Is Here
Today’s tidal wave of queries is forcing hardware makers to pivot
Note: ### The AI Inference Revolution Is Here [IEEE Spectrum article](#rid:1854764141) — a survey of how the shift from AI training to AI **inference** is reshaping chip and memory design. **The shift** Since 2020, the AI story was about training ever-bigger models. In 2026 the spotlight has moved to inference — putting trained models to work. People actually use LLMs now, reasoning models run…
TPU Inference Externalization Full Steam Ahead - InferenceX
InferenceX, Up to 50% Better Performance per Dollar, Rapid Externalization of TPU stack, Growing Customer Base, Ironwood, TPUv8i, Reducing CUDA Moat
A practical guide to running 8x RTX PRO 6000's
Maximize parallelism across 8x RTX PRO 6000's: high-concurrency inference, model fleets, and 70B fine-tuning.
AI Chip Architectures
A look at AI Chip Architectures. NVIDIA, AMD, TPUs, Trainium, Groq, Cerebras.
Are Open Models Catching Up?
Comparing open vs. closed models across the eras of frontier models
Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things
Plus Gemini 3.7 Flash, Muse Glimmer, and DeepSeek V4 Pro 0813
Introducing Muse Glimmer: An Open Agentic Model That Runs on Your Device
Muse Glimmer is a 30-billion-parameter open agentic model from Meta Superintelligence Labs, optimized for always-on local workflows on consumer hardware.
DiffusionGemma Explained
by Timothy Gao
From “Attention Is All You Need” to “Kimi K3” — a reflection on nearly a decade of LLM evolution.
While AI roots back to 1956 with the foundational Dartmouth Conference, the field has transformed more in the last 9 years than in the 60 years prior. We went from fundamental sequence-to-sequence transformers to 3-trillion-parameter reasoning engines and standardized…
AMD acquires AI chip startup Taalas to boost inference performance by etching models into silicon
Early tech demos show model-specific integrated circuits churning out up to 17,000 tokens a second
High Bandwidth Flash: The Full Report
Why HBF for inference decode fits, what it does to the DRAM and NAND markets, a worked cost model, who moves first, and risks
marcelroed/gigatoken: Language model tokenization at GB/s
Language model tokenization at GB/s
Best Local LLMs You Can Run on a Single 24GB GPU in 2026: Qwen, Gemma, Mistral, DeepSeek Compared - MarkTechPost
Compare the best local LLMs that fit a single 24GB GPU in 2026 — Qwen, Gemma, Mistral, and DeepSeek and more analysis in detail
8.9 Million AI Users | Tomasz Tunguz
Ollama makes open models effortless to run locally on a laptop or in the cloud with the same experience. 8.9m developers, 67,000 integrations, & partnerships with every major model lab & hardware vendor. Theory led the Series B.
DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%
DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
The Reversal Curse: LLMs trained on "A is B" fail to learn...
We expose a surprising failure of generalization in auto-regressive large language models (LLMs). If a model is trained on a sentence of the form "A is B", it will not automatically generalize to the reverse direction "B is A". This is the Reversal Curse. For instance, if a…
How to Install and Use Ollama on Ubuntu: Run LLMs Locally
Install Ollama on Ubuntu, run large language models locally, manage downloaded models, use GPU acceleration, and send prompts through the local API.
The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache - MarkTechPost
Compare TurboQuant, OSCAR, and EpiCache: three 2026 methods compressing the LLM KV cache to cut long-context memory cost
A $1,500 foundation model that rivals larger LLMs
Sapient researchers trained a 1B reasoning model on just 40B tokens — scoring competitively with 2B-7B models at a fraction of typical pretraining cost.
All Open-Source LLMs You Should Know | Aman Kharwal
In this article, I’ll go over the open-source LLMs you should know and when to use them. All Open-Source LLMs to know.
The blood cancer that became solvable - Works in Progress Magazine
Multiple myeloma is brutal. We may finally have a cure, but American regulatory inertia means that it was discovered abroad.
How LiteParse's Grid Projection Algorithm Parses PDFs
A deep dive into LiteParse's grid projection algorithm — how it extracts text from PDFs while preserving tables, columns, and alignment. Open source.
The thing that makes 4-bit AI work is a grid of nothing but +1s and -1s called a Hadamard matrix. Here's how a 159 year old matrix ended up…
The thing that makes 4-bit AI work is a grid of nothing but +1s and -1s called a Hadamard matrix. Here's how a 159 year old matrix ended up rescuing modern AI model performance: In 1867 James Joseph Sylvester was studying how to color tiles. He found you could build square grids…
Sumanth077/ai-engineering-toolkit: A curated list of 100+ libraries and frameworks for AI engineers building with LLMs
A curated list of 100+ libraries and frameworks for AI engineers building with LLMs - Sumanth077/ai-engineering-toolkit
Best AI Agents for Software Development Ranked: A Benchmark-Driven Look at the Current Field - MarkTechPost
The AI coding agent field in 2026 is more capable, more fragmented, and harder to benchmark than it looks. Claude Code leads on code quality at 87.6% SWE-bench Verified. GPT-5.5 tops Terminal-Bench at 82.7%. But the benchmark OpenAI itself declared contaminated in February 2026…
SWE-bench
stopped reporting SWE-bench Verified
I spent 31 hours on the math behind TurboQuant so you don't have to
A deep dive by Baseten's research team breaking down the math behind TurboQuant
FineTune LLMs with 6 Open-Source Libraries | Greg Coquillo posted on the topic | LinkedIn
6 Open-Source Libraries to FineTune LLMs 1. Unsloth GitHub: https://lnkd.in/gQvPWVFb → Fastest way to fine-tune LLMs locally → Optimized for low VRAM (even laptops) → Plug-and-play with Hugging Face models 2. Axolotl GitHub: https://lnkd.in/g34kuExT → Flexible LLM fine-tuning…
Rearchitecting LLMs - Pere Martra
By default, general purpose LLMs are not optimized for specific domains and business goals. Using techniques like specialized fine-tuning, pruning unnecessary neural components, and knowledge distillation, you can rearchitect your models to cost less, run faster, and deliver…
Build Your First Text-to-SQL App | Aman Kharwal
In this guide, I’ll show you how to build a Text-to-SQL app that takes your questions and uses AI to translate them.
Turn Any CSV into an AI Chatbot with Python | Aman Kharwal
In this article, I’ll show you how to turn any CSV file into an AI chatbot using Python. Turn Any CSV into an AI Chatbot with Python.
How to Use LlamaIndex to Build RAG Apps | Aman Kharwal
Learning to use LlamaIndex for RAG apps isn’t just about memorizing APIs. It’s about understanding how data moves through the system.
The scaffolding era is over. LlamaIndex says context is the new moat
LlamaIndex CEO Jerry Liu argues the framework era is over: agent loops are now capable enough that context quality is the real competitive edge.
LlamaIndex
RAG
Inside China’s Machine: DeepSeek V4
Two Open-Weight Models. Eight Chip Families. One Frontier Co-Engineered for Non-Nvidia Silicon. The Stack Was the Moat. Now It Has a Fork.
Disaggregated Inference: How NVIDIA, AWS, and Cerebras Are Rethinking LLM Inference | American Compute
Disaggregated inference started as a software technique for splitting prefill and decode onto separate GPU pools. NVIDIA, Groq, Cerebras, and AWS are now taking it further with chips purpose-built for each phase.
prefill-decode disaggregation
production LLM serving
Memory for AI Accelerators | American Compute
HBM, GDDR, and SRAM compared: how memory hierarchy, bandwidth, and capacity determine AI accelerator performance, cost, and which workloads each chip can serve.
prefill (processing the prompt), which is often compute-bound
decode (token-by-token generation), which is usually memory-bound
Sparse AI Hardware Slashes Energy and Latency
Sparse computing enables leaner, faster AI
TurboQuant: A First-Principles Walkthrough
run-llama/liteparse: A fast, helpful, and open-source document parser
A fast, helpful, and open-source document parser
Understanding and Coding the KV Cache in LLMs from Scratch
KV caches are one of the most critical techniques for efficient inference in LLMs in production.
llmrb/llm.rb: Ruby's most capable AI runtime
Ruby's most capable AI runtime
drona23/claude-token-efficient: Universal CLAUDE.md - cut Claude output tokens by 63%. Drop-in. No code changes.
Universal CLAUDE.md - cut Claude output tokens by 63%. Drop-in. No code changes. - drona23/claude-token-efficient
Google's new compression algorithm cut memory stocks within hours of publication
Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital ...
A Visual Guide to Attention Variants in Modern LLMs
From MHA and GQA to MLA, sparse attention, and hybrid architectures
LLM Architecture Gallery
A gallery that collects architecture figures from The Big LLM Architecture Comparison and related articles, with fact sheets and links back to the original sections.