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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...
LM Studio has added Z.ai’s new GLM-5.3-Flash model to Bionic, its AI agent platform, bringing multimodal input, a 1 million-token context window, and significantly lower pricing th...
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...
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...
LlmCostTracker tracks LLM spend and budgets in a Rails app by user, feature, or any tag, in your own database and with no proxy.
Chinese company Z.ai, which created the GLM models, has launched a legal-specific LLM that has been ‘mid-trained’ and post-trained to handle a range of tasks ...
An LLM gateway is the middleware layer between your apps and AI models. Learn what it does, why you need it, and how it controls costs…Continue reading on Medium »
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.
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...
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...
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.
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...
Prompt caching, model routing, RAG trimming and batching: a practical LLM cost optimization playbook that keeps quality intact.Continue reading on Medium »
Large language models (LLMs) are reshaping how engineers approach antenna design, simulation, and testing. Here is what that looks like in practice. A colleague recently described...
Originally appeared on RailsCarma – Ruby on Rails Development Company specializing in Offshore Development. Large Language Models (L...
The best LLM visibility tracking tools for 2026, including OpenLens for agency multi-client dashboards, Amplitude's free AI visibility checker, Ahrefs Brand Radar, and GEO Toolbox.
To deploy an LLM with vLLM, prepare your GPU server and install vLLM there, then load your preferred vLLM-compatible model [...] Read More... The post How to deploy an LLM with vLL...
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