LLMs

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AI Glossary

 🔌MCP  Content type: Blog
0xdf.gitlab.io·

Treating LLMs as Programming Books

 ✍️Prompt Engineering  Content type: Blog
jola.dev··Hacker News

tigerless-labs/cost-xray: See what Claude Code and Codex actually send to the API — and what each part costs.

 ✍️Prompt Engineering  Content type: Code
github.com··Hacker News

Deep Learning Weekly: Issue 458

 🤖Ai

Why Anthropic just doubled Claude Cowork limits at no charge

 🤖Agentic AI
thenewstack.io·

Report: GKE Inference Gateway delivers up to 92% faster AI responses

 ✍️Prompt Engineering  Content type: Blog

These open-source tools do what Claude charges for, and some do it better

 💻Code Generation
xda-developers.com·

Built and launched a research-reading and highlighting tool with Claude over a few months. Here are the things AI was surprisingly good (and bad) at.

 🔌MCP
highlyt.app··r/ClaudeAI

How we fight GPU scarcity without compromise

 🤖AI  Content type: Blog
equixly.com··Hacker News

Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

 ⚙️MLOps
aermia.com··Hacker News

I built a tool to figure out what an AI agent actually costs per run, and the numbers surprised me

 🤖Agents

Anthropic: Claude Now Writes 80% of Its Own Code in 2026

 🧠AI Research  Content type: Blog
wowhow.cloud··DEV

Using local LLMs for agentic coding

 🤖AI  Content type: Blog
blog.alexewerlof.com·

scottpurdy/llmbuffer: LLM conversation buffer with cache optimization and dynamic context.

 ✍️Prompt Engineering  Content type: Code

1-bit and 1.58 bit LLM Benchmarking on Jetson Orin Nano Super | Bonsai LM

 🤖Ai
smolhub.com··r/LocalLLaMA

MLPerf and the rise of latency-aware LLM benchmarking

 ⚙️MLOps
edn.com·

lightmetal: GPU LLM Inference From a Single Java 25 JAR

 ⚙️MLOps  Content type: Blog
adambien.blog·

Introducing the Third Generation of Apple’s Foundation Models

 🛠️AI Tools

Train Models Faster with JAX and MaxText Using NVFP4 on NVIDIA Blackwell

 ⚙️MLOps  Content type: News  Content type: Blog
developer.nvidia.com·

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