Budget: 800 UAH Deadline: 3 days
Hello! After reviewing your project, I am ready to start working on it. I can offer optimal solutions to achieve the best results.
Use the existing text dataset in csv format (I will provide it after agreeing on the execution) to create a new dataset in the "question-answer" format (SFT data) with two fields: question and answer. All actions must be performed programmatically using the code from the repository (I will also provide this) in Python language in the Google Colab environment.
Output data: Generated SFT dataset in csv format
I will provide more details in private messages to those who are interested. I set a symbolic-minimal payment. We will discuss the actual price after agreement.
Budget: 800 UAH Deadline: 3 days
Hello! After reviewing your project, I am ready to start working on it. I can offer optimal solutions to achieve the best results.
Budget: 700 UAH Deadline: 1 day
Good evening
I am ready to help with your dataset
Message me privately, we will discuss the details)
Budget: 1000 UAH Deadline: 2 days
Hello Sergey! I can complete the assigned task! Feel free to reach out!!!!!
Budget: 2000 UAH Deadline: 2 days
Good day! I have experience = I can complete the assigned task! Feel free to contact me!!!!!
Budget: 700 UAH Deadline: 1 day
Write a private message, we will discuss everything there
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Budget: 2000 UAH Deadline: 2 days
Good day,
I am ready to perform quickly and efficiently
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Hello everyone! Who knows how to work and has been working with Open Claw agents for coding and other tasks? I need to organize parallel work of open claw code agents for coding on a virtual server. Requirements: - help choose a server for the agents (there are many ready-made options) - help set up the environment - connect the API Who can do this today? Who is available? I found these options online: https://clawhost.cloud/
About the ProjectA manufacturing company with several warehouses in Ukraine. More than 40 suppliers, both domestic and from China. Each supplier has its own terms for order processing and logistics.What We Want to ImplementAn AI agent for automating purchases and managing the movement of goods between warehouses. The agent is planned to be trained to work with each supplier according to their individual conditions.Current InfrastructureA procurement report is operational on QlikView (BI analytics via browser). Data updates every 30 minutes, the report is generated in the browser on the fly. Excel files can be exported from it.How We See the ImplementationDecide on a platform (OpenClaw, Claude Cowork, or similar) for building the agentDeployment on a VPS serverConnection to the analytics report via browserTraining using 2–3 suppliers as a pilotAgent FunctionalityGenerating orders to suppliers (training for each supplier separately)Moving goods between internal warehouses to maintain stockCreating tasks for specific groups of goods (for example, cutting into pieces and filling missing positions by lengths)Required IntegrationsTelegram: management through chat by several employeesCreating tasks in our CRM via APISending tasks to specific employees in the Telegram chatFuture PlansAfter the implementation of this stage, the creation of a sales analysis agent is planned, also based on the QlikView report.
Hello! Task: Develop and place an agent on a WordPress page (the programmer will insert the code into WordPress). The user should be able to communicate with the AI agent in text or voice format (if possible) based on a specific uploaded topic (content: texts, photos). Functionality: The user visits the website page. Sees the AI agent interface: chat + voice communication button (if possible). Can request text. Can speak, and the agent should recognize the speech and respond. The agent responds only based on the uploaded materials on the specific topic. If the question goes beyond the topic, the agent should correctly inform that it can only respond based on materials related to Skovoroda. Responses should be lively, understandable, and educational. The administrator should be able to upload and update materials: texts, PDFs, images, audio, links. Interested in the cost and timeline for developing the agent.
Contact only those who can do this. And immediately provide deadlines and budget. Creating a personal Wiki database based on Obsidian Note. Registration on hosting, launching a local artificial intelligence OpenCl and connecting it to the created Wiki database. Explanation in a YouTube video. https://youtu.be/9DLyBdND22c?si=AqDvuTnteIBWAiyu
Looking for an experienced specialist in Chatterfly.ai to set up a full-fledged automated sales funnel in Telegram in the trading niche. What needs to be done: Set up Chatterfly.ai from scratch. Connect the Telegram bot. Create an AI assistant that will automatically communicate with users, answer questions, and guide them to registration. Set up the sales funnel with user segmentation by stages. Integrate the system with the broker Pocket Option. Set up the transfer and verification of user ID, postbacks, and registration/deposit statuses (if API or other integration methods are available). Configure automatic messages, triggers, tags, and communication scenarios. If necessary, assist with the integration of CRM and other services. Important: Real experience with Chatterfly.ai is mandatory. Experience with integration with Telegram and Pocket Option is preferred. It is necessary not just to set up the service, but to help build a working system that will automatically lead clients and increase conversion. Work result: A fully configured and tested funnel, where the user goes from the first message to registration with the broker, while the AI automatically supports them at all stages. A brief instruction for further use of the system is also required.