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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...
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...
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...
Large Language Models (LLMs) are increasingly becoming part of enterprise applications. However, integrating an LLM into an existing application is not only about invoking an API....
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 »
Large language models become significantly more useful when they can interact with external tools instead of only generating text. A model can decide that it needs information from...
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...
Large Language Models can take several seconds, or sometimes much longer, to produce a complete response. In a traditional blocking application, the caller waits until the entire r...
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 ...
Originally appeared on RailsCarma – Ruby on Rails Development Company specializing in Offshore Development. Large Language Models (L...
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...
Thomson Reuters today (24 August) announced the launch of Thomson, the company’s first proprietary large language model, leveraging an open-source foundation and investing $40 mill...
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...
ruby_llm-providers-lms 0.3.0 brings RubyLLM 2.1’s judgments to LM Studio. Point RubyLLM.judge or a RubyLLM::Judge class at a local decision model and get typed answers back in tens...
Large Language Models (LLMs) are increasingly used not only to generate content, but also to evaluate the output produced by other models. This technique is commonly known as LLM-a...
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.
Originally appeared on Carmine Paolino.RubyLLM 2.0 is the biggest release since 1.0. It starts with tool approval: class RefundOrder < RubyLLM::Tool description "Refunds an o...
Thomson Reuters today (24 August) announced the launch of Thomson, the company’s first proprietary large language model, leveraging an open-source foundation and investing $40 mill...
LLMs are powerful application components, but they should not be exposed directly to untrusted users or unvetted documents. A request can contain an instruction override, a hidden...
Explore five free AI API providers for accessing large language models, fast inference, multimodal AI, and agentic applications without paying for API usage.
Мы занимаемся внедрением LLM и агентов в бизнесы, и одна из самых частых проблем — как обрабатывать данные клиентов и при этом соблюдать закон 152-ФЗ о персональных данных. Давайте...
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...
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