Spring AI with Local LLMs Using LM Studio
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...
Search fresh public links, source activity, and ready-to-use post angles for Local Llms.
Fresh curated links around Local LLMs are collected here so marketers can spot useful updates and turn timely ideas into posts faster.
Recent items include:
Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.
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...
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.
Thanks to everyone that attended my sessions at VS Live San Diego yesterday. It was a fun session and I’m glad a few people came up to ask questions.... The post Running a Local LL...
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.
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_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,...
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...
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.
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...
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...
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...
Discover what it takes to engineer production-ready LLM applications in an exclusive live session with Prof. Travis D. Breaux, Associate Professor of Computer Science at Carnegie M...
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.
<figure data-wp-context="{&quot;imageId&quot;:&quot;6aaeca9e123fa&quot;}" data-wp-interactive="core/image" data-wp-key="6aaeca9e123fa&qu...
Originally appeared on RailsCarma – Ruby on Rails Development Company specializing in Offshore Development. Large Language Models (L...
Use SocialBu to discover ideas, generate post drafts, and schedule them across your social channels.