LLMs

large language models, fine-tuning, prompt engineering, foundation models

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How LLMs work | Practical Leaders

 🤖AI

Report: Why developers use LLMs to write blog posts

 🤖AI Engineering  Content type: News  Content type: Blog

Improved performance and model support with GGUF

 🧠LLM Inference  Content type: Blog
ollama.com·

Introducing the Third Generation of Apple’s Foundation Models

 🤖AI

The Order Matters: Sequential Fine-Tuning of LLaMA for Coherent Automated Essay Scoring

 🤖ai  Content type: Academic
arxiv.org·

Neo-X7/Neo-AI: A fully offline AI assistant powered by Ollama. Stores and retrieves conversations using SQLite + LanceDB vector search. No cloud. No API keys. Runs entirely on your machine.

 🧠LLM Inference  Content type: Code
github.com··DEV

LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

 🔍RAG  Content type: Blog
towardsai.net·

local llm on laptop 780M GPU using llama + gemma 4 qat

 🧠LLM Inference  Content type: Blog
alper.bearblog.dev·

Comprehensive evaluation of LLM capabilities for interpretation and analysis of genome-scale metabolic models in metabolic engineering

 🤖AI Engineering  Content type: Academic
biorxiv.org·

When Is It Actually a RAG Problem?

 🔍RAG

LLM Observability: What To Instrument and How To Act on It

 ⚙️MLOps  Content type: Blog
blog.n8n.io·

Apple's Foundation Models can now use third-party LLMs (Claude, Gemini) [video]

 🧠LLM Inference

Deep Learning Weekly: Issue 458

 🤖Machine Learning

lightmetal: GPU LLM Inference From a Single Java 25 JAR

 🧠LLM Inference  Content type: Blog
adambien.blog·

Slangify: The Case for DSLs in LLM Workflows

 🔍RAG  Content type: Blog

How J.A.R.V.I.S. Became the Smartest Mind on Earth — What is an LLM?

 🧠LLM Inference  Content type: Blog
medium.com·

RAG Pipeline Explained: From Query to Answer, Step by Step

 🔍RAG  Content type: Blog
medium.com
·

Making Local LLM Go Brrr

 🤖AI Engineering

An LLM-Native Psychometric Instrument Does Not Predict LLM Behavior: Evidence Across 25 Models

 🔍RAG  Content type: Academic
arxiv.org·

LLMs are not an acceptable high level language

 🤖AI Engineering
federicopereiro.com·

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