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I’m ready to host an open-source language model on my own Linux box and need an expert to guide me through every step. I’m currently leaning toward Llama, with text generation as the primary use case, but I’m open to your professional advice if another model proves clearly superior. Scope of work • Recommend the best open-source LLM variant for my goals. • Install and configure the model on my Linux server (SSH access provided). • Detail exact hardware requirements and performance expectations. • Walk me through basic prompting so I can see it running in real time. • Explain Retrieval-Augmented Generation (knowledge-base integration) and show a simple example. • Cover built-in and add-on translation capabilities. • Outline...

We are looking for an open-source, fully customizable tool built upon Qwen or DeepSeek frameworks. The aim is to create an efficient workflow solution for email data extraction, summarization, and automated responses specifically for our data. Key Requirements: 1. Extract and convert email threads into clean, structured data (e.g., name, phone, address, service requested, timing, summary). 2. Summarize email content effectively without attachment handling. 3. Automate replies based on pre-defined rules/settings while providing a log of all sent messages. 4. Ensure the tool is modular and scalable to allow us full ownership and later updates as needed. Ideal Freelancer: - Experience with Qwen or DeepSeek tools. - Strong open-source background. - Capable of delivering a secure and user-fr...

I want a working proof-of-concept application that pulls together a modern MLOps stack on Kubernetes. The build should spin up from a clean repo, flow through a CI/CD pipeline, and deploy an end-to-end demo that highlights three AI pillars I care about: Nvidia AI Enterprise for accelerated inference and training, production-grade LLM functionality (LangChain-powered), and Retrieval-Augmented Generation using a vector store. Core workflow • Code is pushed → pipeline (GitHub Actions or similar) runs tests, builds the container image, and promotes it to the cluster. • Helm or ArgoCD handles drift management so that the desired state remains in sync. • At runtime, the service must auto-scale both CPU and GPU requests, proving horizontal and vertical elasticity. &bu...

I want to build a large database of ai tools and apps. I want to include open source products. I want to include products from any country and any language. I want app, tool, or product name and, if available, associated company and task or activity associated with it.

I’m ready to replace every paid SaaS we use with a fully self-hosted, open-source stack and I need an experienced engineer to guide and execute the transition from start to finish. The core of the project will run on Linux, though I’m happy to follow your advice if another OS layer adds stability or performance. The mandatory components include: Samba in AD mode providing file sharing, print and authentication services; a hardened Hypervisor for our VDI estate (I’m still weighing KVM, Xen or VirtualBox and welcome your input); FleetDM for device visibility across our Windows and macOS endpoints; and KeePassXC rolled out per user with tailored permissions. Beyond installation I’ll need: • Migration out of Dropbox to the new Samba file server, setting precise ...

I want to build a large database of ai tools and apps. I want to include open source products. I want to include products from any country and any language. I want app, tool, or product name and, if available, associated company and task or activity associated with it.