🧠 LLM - inarcissuss

clickBrick prompt engineering: optimizing large language model performance in clinical psychiatry

Covers 3 stories including GitHub here . You can follow the build instructions below as well. Change -DGGML_CUDA=ON to -DGGML_CUDA=OFF if you don't have a GPU or just want CPU inferen...

🤖AI Assistants m.okjike.com·

Show HN: Route LLM prompts to cheapest capable model – pydantic-AI and litellm

Covered by DEV Community

Discussed on Hacker News

⚡Transformers arXiv·

Cache-Resident LLM Inference in GB-Scale Last-Level Caches

🔧Tool Use freeCodeCamp·

From LLMs to LangChain: Understanding How Modern AI Applications Actually Work

🧠LLM Research IEEE Spectrum

IEEE Rolls Out Large Language Models Virtual Training Course

Covers 4 stories including How to Compress DICOM (.dcm) Images from 1.4 MB to KB Using Python?

Covered by contextmaestro.com

🤖AI Development NVIDIA Technical Blog·

Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding

Covers 4 stories including NVIDIA Blackwell Architecture

🤖AI Assistants klr-pattern.github.io·

Treat the Context Window as a Data Assembly Problem

Discussed on Hacker News

🧠LLM Research medium.com

Large Language Models: Architectures, Pretraining, and Roadmaps

⚡Transformers colobu.com·

LLM 究竟是如何工作的？

🤖ChatGPT cnbeta.com.tw·

GPT-5.5 Instant更新明天开始免费使用

🤖AI Assistants medium.com

Prompt Engineering : AI Security Tryhackme Walkthrough

⚡LLM Optimization Hugging Face·

Could you help me test MTP for GLM-4.7-Flash?

Discussed on r/LocalLLaMA

🔌AI Integration digitalocean.com·

Multi-Model API Cost Governance with the Inference Router

Covers GitHub - vllm-project/semantic-router: Intelligent Router for Mixture-of-Models

⚡Transformers Semiconductor Engineering·

Tool-Assisted LLM Targets RTL Code Generation (UC Riverside, Futurewei)

💬LLM Prompting LeadDev·

Engineering managers ditch cloud AI for local LLMs

Covers 2 stories including GitHub here . You can follow the build instructions below as well. Change -DGGML_CUDA=ON to -DGGML_CUDA=OFF if you don't have a GPU or just want CPU inferen...

🤖Agentic Engineering Machine Learning Mastery·

Agentic Workflow vs. Autonomous Agent: What’s the Difference?

Covers ReAct: Synergizing Reasoning and Acting in Language Models

✍️Prompt Engineering GitHub·

How do I set the right llama.cpp parameters?

Covers JSON Schema

Covered by DEV Community, Alex Ewerlöf Notes

Discussed on r/LocalLLaMA

🧪AI Labs BestBlogs.dev

OpenAI 与 Broadcom 发布针对 LLM 优化的推理芯片

💬LLM Prompting XDA·

clickBrick prompt engineering: optimizing large language model performance in clinical psychiatry

推荐这篇文章，作者完整展示了怎么用 LLM 做一个真正好用的个人工具，重要的是，他展示了如何让 LLM 取代那些你之前觉得不好用的产品，服务，非常值得参考。作...

Show HN: Route LLM prompts to cheapest capable model – pydantic-AI and litellm

Cache-Resident LLM Inference in GB-Scale Last-Level Caches

From LLMs to LangChain: Understanding How Modern AI Applications Actually Work

IEEE Rolls Out Large Language Models Virtual Training Course

Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding

Treat the Context Window as a Data Assembly Problem

Large Language Models: Architectures, Pretraining, and Roadmaps

LLM 究竟是如何工作的？

GPT-5.5 Instant更新明天开始免费使用

Prompt Engineering : AI Security Tryhackme Walkthrough

Could you help me test MTP for GLM-4.7-Flash?

Multi-Model API Cost Governance with the Inference Router

Tool-Assisted LLM Targets RTL Code Generation (UC Riverside, Futurewei)

Engineering managers ditch cloud AI for local LLMs

Agentic Workflow vs. Autonomous Agent: What’s the Difference?

How do I set the right llama.cpp parameters?

OpenAI 与 Broadcom 发布针对 LLM 优化的推理芯片

My GTX 1080 may be 10-years old, but you can pry it from my dead, cold hands