Social Media Ideas for Llm Optimization

Best LLM Courses in 2026

Search for the best LLM courses and you'll find a 90-minute prompt engineering tutorial listed next to a 50-hour engineering program that assumes you already know PyTorch. A free Y...

How to Save Money Using Custom LLMs for Specific Tasks

AI has already moved beyond text generation. Modern agents can browse the internet, read documents, call APIs, query databases, and coordinate numerous actions between tools and se...

Optimizing LLM Training: Techniques for Faster, More Efficient, and Scalable Models

IntroductionContinue reading on Medium »

5 Fun Papers That Explain LLMs Clearly

Want to understand LLMs better? Start with these five foundational papers that explain how they work.

5 Fun Papers That Explain LLMs Clearly

Want to understand LLMs better? Start with these five foundational papers that explain how they work.

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...

"LLM Inference Optimization: The Line Item That Decides If Your AI Ships"

Training gets the headlines. Inference gets the bill. If you run LLMs in production, inference is almost certainly your biggest AI line item — a meter running 24/7 on every request...

LLM layer for a Rails application

Originally appeared on dmitrytsepelev.dev.Like it or not, a lot of applications are adding AI–native features: anything related to automated answers, object classification, knowled...

Luminance Launches Proprietary LLM for Contract Work

The new LLM, a rarity among legal tech companies, is intended to offer better and faster performance on contract tasks including interpreting clauses and flagging risks.

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 »

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.

Candidate Generation Decides Your Pipeline's Cost, Not the LLM

When the Most Capable Model Is the Wrong Starting Point The fastest way to exceed a document pipeline budget is to let an LLM inspect every document before you have performed light...

12 vLLM Alternatives for Efficient and Scalable LLM Inference

vLLM alternatives matter when a team needs LLM inference that fits a specific hardware profile, model family, deployment environment, latency target, or operational model better th...

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.

LLM vs SLM: Bigger Is Not Always Better

By Zeeshan | Developer, Synapse Tech Inc.Continue reading on Medium »

HoloViz: HoloViz for LLMs

An LLM as arbiter in RAG retrieval: picking the right candidate with reasons

Enterprise Document Intelligence [Vol.1 #7C] - One LLM call ranks the candidates with reasons. The output is one typed object your auditor can defend The post An LLM as arbiter in...

Запуск и оптимизация локальной LLM с llama.cpp

В статье разберём фреймворк llama.cpp для запуска локальной LLM на выделенном облачном GPU, а также практический подход к оптимизации производительности. Мы поднимем REST API, выпо...

Stop Using LLMs Like Giant Problem Solvers

How I turned 100 messy pdfs into structured insights by building a deterministic loop around agents The post Stop Using LLMs Like Giant Problem Solvers appeared first on Towards Da...

Прогнал семь LLM через свой русский спортивный бенчмарк. Базовой моделью всё равно оставляю Gemma 4 31B

Прогнали семь LLM через свой русский спортивный бенчмарк. Топовые модели closed-source выигрывают 1.5-1.7 балла. Базовой моделью всё равно остаётся Gemma 4 31B — рассказываю почему...

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.

LLM Demo to Production: The Layers That Make an LLM Application Reliable

Taking an LLM from demo to production takes more than a better model.Continue reading on Medium »

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...

12 Ways to Reduce LLM Latency and Inference Costs in Production

Scaling LLMs isn’t about adding GPUs. It’s about removing wasted work from every request.