GPT-3 Jobs

Currently, while generate and evaluate on a task using bigcode evaluation harness, it generates a .json file something attached below. The task is to try appending a single hard-coded prompt to prompts in TokenizedDataset in lm_eval/utils.py. First, understand what the exact structure of the resulting prompt will be like. E.g. “Prompt: print hello world nn Answer: print(‘hello world’) nn Prompt: read a file nn Answer: “; vs “Intent: print hello world nn Code: print(‘hello world’) nn Intent: read a file nn Code: “. a. “# prints hello world”; what separator to use between the prompt and the answer b. check the docs on huggingface for models - to see if they have examples of ICL (in-context learning) c. check the ...

I am looking for a skilled developer to create a generative A.I music app. The app should be able to produce music in various genres including Pop, Rock and Electronic, ect... The app should be able to take a instrumental or voice sample & make alternative copies of the original & the app should be able to take a voice & copy it over another voice. The app should be web-based and accessible on all platforms. Ideal skills for this project include experience with A.I programming, web development and music production.

I have two tables in CSV format: property values: contains daily real state assessed valued identified by City/District/Roll_ID (5MB) property_desc: contains real estate information (also identified by City/District/Roll_ID) such as area and address. (10MB) I need to develop a question answering model using an LLM model, e.g., GPT-3, whichever that work the best on these data to be able to summarize and answer the questions in an accurate way, and can interact between both tables to get the needed information.. please let me know if you have experience working on the above models. Also, I am free to discuss if there is another model that can work better than these models..

Hello, I have two tables as tabular data as below: - sales_transactions: contains daily real state sales information by district and city. - rent_information: contains monthly rent information by city and district. Both are having the same district and city information with a city ID and District ID. I need to develop a question answering model using TAPAS/T5/Bard models, whichever that work the best on these data to be able to summarize and answer the questions in an accurate way.. and can interact between both tables to get the needed information.. please let me know if you have experience working on the above models.. Also, I am free to discuss if there is another model that can work better than these models..

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We are seeking a skilled and innovative AI App Developer to join our team. As an AI App Developer, you will play a crucial role in developing an exciting AI-powered application that generates art based on room images' color and material schemes. Successful Candidate will guaranteed get a 5 stars rating! Responsibilities: • Collaborate with the development team to design and implement an AI-powered app for art generation. • Utilize ChatGPT and other AI models to assist in the creation of an interactive and intuitive user experience. • Work on the image processing component, extracting color and material information from room images. • Research and implement cutting-edge computer vision techniques for accurate color and material detection. • Integrate the AI mo...