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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...
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...
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.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,...
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...
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 ...
Lewis, Longman & Walker + Everlaw Play this video on Vimeo Lewis, Longman & Walker is commit...
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.
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.
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...
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.
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...
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