Latest updates for Litellm

Fresh curated links around LiteLLM are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • What is vLLM?
  • SLM vs LLM: Choosing the Right Small Language Model Size
  • A practical introduction to testing LLMs

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harshitdawar.medium.com /6 days ago

What is vLLM?

Demystifying its use cases in complete detail, with a discussion of its competitors & a detailed comparison among all of them! As a bonus…Continue reading on Medium »

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testmuai.com /2 weeks ago

SLM vs LLM: Choosing the Right Small Language Model Size

A small language model runs on ordinary hardware fast enough to serve one user, and an LLM is one that does not. SLM vs LLM compared, with 200 measured runs.

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ministryoftesting.com /1 month ago

A practical introduction to testing LLMs

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machinelearningmastery.com /1 month ago

LLM Orchestration Frameworks Compared: LangChain vs. LlamaIndex vs. Raw API Calls

The default assumption in most LLM developer communities is that you start with raw API calls and graduate to a framework as your project grows.

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medium.com /3 weeks ago

What is an LLM?

BlogContinue reading on Medium »

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rubyflow.com /1 month ago

llm.rb v12.0.0 released

llm.rb is an advanced runtime for building highly capable AI applications on CRuby. This release is packed with new features, bug fixes, & other improvements.

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javacodegeeks.com /3 weeks ago

Designing Educational Apps with LLMs

Large Language Models (LLMs) have transformed the way educational platforms deliver personalized learning experiences. Instead of simply displaying static lessons, modern education...

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github.com /1 month ago

Generative UI that renders LLM output as real Material UI in your app

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martinfowler.com /1 month ago

DSLs Enable Reliable Use of LLMs

LLMs generate code incredibly fast, but to ensure they generate exactly what is intended, they need clear boundaries. Abstractions and Domain-Specific Languages (DSLs)...

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simplilearn.com /1 month ago

SLM vs LLM: Key Differences and Use Cases | Simplilearn

TL;DR: LLMs and SLMs are two types of language models used in artificial intelligence systems. LLMs are built to handle large-scale tasks with higher reasoning ability, while SLMs...

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medium.com /5 hours ago

一張 4090 跑 Qwen3.8-27B:vLLM vs llama.cpp 實測,和一個沒人在講的免費 1.5 倍 context

Qwen3.8–27B 現在是很多人本機跑 coding model 的首選,而大部分人第一個拿起來的工具是 llama.cpp — 簡單、GGUF 原生、跑得動。我們把兩套 stack 放在同一張 RTX 4090 上跑,原本預期 vLLM 會...

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testmuai.com /1 week ago

LLM Observability: A Practical Guide for AI Teams

LLM observability makes an LLM app's behavior visible in production through traces, evaluations, and quality signals. Learn what to monitor and how.

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awn.com /2 days ago

LTX Releases Open-Weights World Model LTX-2.5

The LLM handles ACES high dynamic range end to end, renders multishot sequences as a single output and runs on a studio's own hardware; available now on Hugging Face, the LTX API a...

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medium.com /1 month ago

Stop Letting the LLM Write Its Own Memory

Inside a five-stage digest pipeline where the LLM proposes and deterministic code decidesContinue reading on Medium »

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testmuai.com /3 weeks ago

LLM Evaluation: Metrics, Methods & Tools That Matter in 2026

A practical guide to LLM evaluation: which metrics matter, how the methods compare, how to build an eval set, and how to gate releases on evals inside CI.

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rubyflow.com /1 month ago

llm_cost_tracker 0.13.0 — self-hosted LLM cost tracking for Rails

https://github.com/sergey-homenko/llm_cost_tracker

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designveloper.com /1 month ago

vLLM Tutorial: A Step-By-Step Guide To Deploying And Serving LLMs

This vllm tutorial shows how to install vLLM, run offline batch inference, expose a local OpenAI-compatible API, and tune the server for production-style LLM workloads. vLLM is use...

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proandroiddev.com /2 weeks ago

On-Device AI Series (Part 4): LiteRT

Full tensor-level control for custom machine learning models on Android.Continue reading on ProAndroidDev »

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towardsdatascience.com /1 month ago

From Local LLM to Tool-Using Agent

Using Gemma 4, Ollama, OpenAI Agents SDK, and Tavily MCP to build a lightweight research agent The post From Local LLM to Tool-Using Agent appeared first on Towards Data Science.

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dev.to /2 weeks ago

LLMs on Consumer Hardware — Part 1: The Stack and First Benchmarks

This is the first in a series of build-log posts documenting a local LLM project, in which models are run on owned consumer hardware rather than through a cloud API. The present en...

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dzone.com /3 weeks ago

How Does an LLM Request and Response Cycle Work? A Full Walkthrough

In this blog post, we will see how an LLM request and response cycle works, from the second you hit send to the moment the last word lands on your screen. I will not throw a wall o...

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testmuai.com /1 month ago

The Practical Guide to LLM-as-a-Judge for AI Agent Evaluation

LLM-as-a-judge scores individual outputs well but can't evaluate a full AI agent conversation. Learn the techniques, code, and biases that make judges reliable.

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diptendud.medium.com /1 month ago

Open Source LLMs for Production: Qwen3 vs Llama 4 vs Mistral Large 3

The open-vs-closed gap has collapsed to roughly 6–9 months.Continue reading on Medium »

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hostinger.com /1 month ago

What is an LLM agent?

An LLM agent is an AI system that combines a large language model with planning, memory, and external tools to [...] Read More... The post What is an LLM agent? appeared first on H...

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martinfowler.com

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medium.com

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medium.com

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