Modelo de Linguagem de Grande Porte Jobs

I have an ongoing structural-optimization study that will be powered by a large language model. Your role is to help me develop and train the machine-learning model, integrate it with my structural analysis routines, and write clean, reproducible code in both Python and MATLAB. The core of the job is model training: we will fine-tune or custom-train an LLM so it can suggest improved structural layouts, then feed those suggestions into an optimization loop that runs finite-element calculations already available on my side. I will supply the data sets, initial scripts, and target performance metrics. You will extend the codebase, implement the training pipeline, and link everything to the optimization module. Deliverables • Python scripts and MATLAB functions that load data, train the...

I need production-ready n8n workflows that use Claude (Anthropic) or any other fit-for-purpose LLM to automate one core business goal: streamlining customer service requests that touch our finance operations. We also The workflows must be able to: • Ingest the incoming request—whether it arrives by email, form, or chat—identify it as finance-related, and extract the key facts. • Send the request through an LLM prompt chain for classification, summarisation, and suggested next actions. • Trigger follow-up steps inside n8n (routing to the right teammate, updating our ticketing system, posting a Slack/Microsoft Teams message, or calling an external API) with graceful error handling and clear logging. Acceptance criteria • Deployed on our self-hosted n8...

Job Description We are seeking an experienced full-stack developer or development team to build a secure, AI-powered financial data visualization and document platform with strong Digital Rights Management (DRM) and semantic search (RAG) capabilities. The platform will host and stream financial documents (PDFs), allow structured hierarchical navigation, enable AI-driven discovery and summaries, and enforce strict access control to prevent unauthorized downloads or redistribution. Monetization via subscriptions and ads is a core requirement. This is a serious, long-term project requiring strong architecture, security, and AI integration experience. Core Functional Requirements Frontend (SPA) Single Page Application (SPA) 6-level hierarchical navigation: Country → Sector → Co...

Technical Specifications: Financial RAG & DRM Platform This document details the technical requirements for the development of an advanced financial data visualization and analysis platform with DRM protection and AI integration. The goal is to obtain a breakdown of costs and execution times based on the milestones presented here. Note: The platform must support a multi-language interface, allowing users to toggle between English and Spanish for navigation and system menus. Table of Contents 1. Frontend Architecture and Interface (SPA) 2. Backend, Infrastructure, and Data Pipeline 3. Security and DRM (Digital Rights Management) 4. Semantic Engine and AI Integration 5. Monetization and Ad Management 6. Development Plan for Quoting (Milestones) 7. Annex: Classification Logic and Nomencl...

Technical Specifications: Financial RAG & DRM Platform This document details the technical requirements for the development of an advanced financial data visualization and analysis platform with DRM protection and AI integration. The goal is to obtain a breakdown of costs and execution times based on the milestones presented here. Note: The platform must support a multi-language interface, allowing users to toggle between English and Spanish for navigation and system menus. Table of Contents 1. Frontend Architecture and Interface (SPA) 2. Backend, Infrastructure, and Data Pipeline 3. Security and DRM (Digital Rights Management) 4. Semantic Engine and AI Integration 5. Monetization and Ad Management 6. Development Plan for Quoting (Milestones) 7. Annex: Classification Logic and Nomencl...

I need a coder who already feels at home working with large-language-model frameworks to build a text-generation program that will power customer-service chatbot replies. The goal is straightforward: feed the bot a user query and receive a clear, helpful response that sounds natural, stays on-brand, and can be deployed inside our existing support interface. Core needs • Model handling: Need to use offline LLMs, preferably llama 3/opus and gemma as long as latency and accuracy stay competitive. • Prompt/response logic: craft the prompt pipeline so it captures context (conversation history, customer metadata) and returns concise answers without hallucinating policies or numbers. • Safety & tone controls: integrate guardrails for profanity, personally identifiable in...