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llm.rb is an advanced runtime for building agentic AI applications on CRuby. It has zero runtime dependencies by default, supports concurrent and parallel tool execution and has a...
llm_cost_tracker is self-hosted LLM cost tracking for Rails: every call through RubyLLM, the OpenAI and Anthropic SDKs, Gemini, or any OpenAI-compatible API is logged with tokens,...
11 LLM evaluation tools compared for 2026: what each one measures, where it fits in the lifecycle, and how to pick one for your architecture and privacy needs.
llm.rb is an agentic runtime for building AI applications on CRuby. It supports 14 different providers, it has zero runtime dependencies by default, and it can execute tool calls o...
LLMCostTracker records the LLM calls your Rails app makes through RubyLLM, the official OpenAI and Anthropic SDKs or Faraday into your own database: priced per call, tagged by user...
The popular LiteLLM Python package has been compromised as part of a software supply chain attack that delivered a credential stealer and a backdoor, according to reports from Safe...
Rhea Goel of Amazon on replacing a re-ranker with an LLM: natural language objectives, fine-tuning, DPO, hard and soft constraints, distillation and LLM judges.
Every guide gives you a table of speeds from hardware you do not own. This one builds a small tool that measures your own machine instead, then explains what the numbers mean.
LLMs in 7 Days · Season 1, Day 1: tokens, next-token prediction and temperature, with a game of “be the LLM” and a real terminal chatbot…Continue reading on Medium »
I wrote a thing or two how RubyLLM 2.x is improving agents.
Large language models have become easier to integrate into applications, but running them efficiently is still a major engineering challenge. As the number of users and requests in...
LLM security explained: the OWASP Top 10 for LLM Applications 2026, how it differs from LLM safety, and one test per risk with the evidence that decides it.
Large Language Models (LLMs) are commonly accessed through cloud APIs provided by services such as OpenAI, Anthropic, or Google Gemini. However, there are many situations where dev...
Originally appeared on Carmine Paolino.RubyLLM 2.1 is out. I released it on stage at Deccan Queen on Rails in Pune. It builds on 2.0 and adds an MCP client, typed judgments, evalu...
llm_cost_tracker is a Rails engine that records what your app spends on LLM APIs - per call, per model, per tag - into your own database, with a mounted dashboard.
Откройте любую статью-инструкцию по установке LLM, в которой фигурирует Ollama. Уверен, в комментариях к ней автору уже объяснили, насколько он неправ и что единственное верное реш...
Originally appeared on RailsCarma – Ruby on Rails Development Company specializing in Offshore Development. Large Language Models (L...
LlmCostTracker tracks LLM spend and budgets in a Rails app by user, feature, or any tag, in your own database and with no proxy.
RubyLLM::Modes is an extension for RubyLLM: before each chat turn, a router picks the instructions, tools, model, and thinking for that reply. The router uses Jev through the new R...
Use SerpApi's Markdown output and the JSON Restrictor to give a local LLM more web search data in the same context window, tested on four models in LM Studio.
Open-source large language models are AI systems you can study, adapt, and use without being locked into one company’s platform or rules. In 2025, they’re giving rese...
After months of work, TR has launched Thomson 1.0, its own LLM, trained on its own data – and it shows a performance that is ...
A pull request arrives. A few hundred lines of Java implementing the new discount rule: tiered thresholds, a regional exception, something about loyalty tiers that nobody can quite...
LLM prompt monitoring links every production trace to the prompt version behind it. Learn the trace fields, signals, alert rules and triage for a regression.
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