Large Language Model Jobs

I want to run an open-source Chinese LLM—most likely Qwen, Deepseek, or Kimi—entirely under my own roof for document analysis, document preparation, and workflow management. My main priority is the hardware side: advising me on whether to buy a single GPU for the long haul, rent a cloud GPU, or start with a more modest card and upgrade later. All three options are on the table, so I need a clear comparison of cost, VRAM requirements, and expected performance. Once the hardware decision is made, I’ll need hands-on help getting the chosen model installed, optimised, and benchmarked on that setup. That includes configuring the runtime, loading the model weights, and confirming that everything runs smoothly on my local network. After it works, please walk me through everyd...

I need assistance developing an AI-powered software application using Python and modern machine learning technologies. The project includes implementing AI functionality, integrating an LLM API, developing backend API endpoints, and connecting the application to a database. Some tasks may also involve prompt development, data processing, testing, debugging, and improving application performance. Expected deliverables include: - Working AI functionality integrated into the application - Python backend/API implementation - Database integration - Testing and bug fixes - Technical documentation for the completed work Relevant experience with Python, AI/ML development, APIs, databases, and generative AI technologies is preferred. Please submit your proposal through Freelancer.com with examples ...

I need a detailed report, 25-50 pages, on detecting anomalies in agentic systems with multiple interacting LLMs, and how to find the root cause in agentic systems. This direction is about "agentic operations" in Detecting Malicious Webpage. First step is to identify the most recent relevant papers and summarize the benchmarks and baselines used in them. Benchmarks are the datasets/tasks and evaluation metrics used for experiments and baselines are the existing methods that we could compare against.

Project Overview We are looking for an experienced AI/ML developer to help us build a private, locally hosted Large Language Model (LLM) for our project. The goal is a secure, on-premise AI solution that runs entirely on our own server, with no reliance on external cloud AI services, so our data stays fully within our control. You will work closely with our internal IT team from the planning stage through deployment. Scope of Work Phase 1: Discovery & Brainstorming Collaborate with our IT team to understand our current infrastructure, data sources, and business needs. Recommend the best architecture, model choice (e.g., Llama, Mistral, Qwen), and approach (RAG, fine-tuning, or a combination). Phase 2: SQL Data Room Development Design and build a structured SQL data room that pulls...