leasepax.blogg.se - Sonic generations extract models

Classic Sonic in Wave Ocean as shown on Melpontro's YouTube channel.

This makes it possible to have the game load modified data files, without the need for unpacking and repacking those large CPK archives every time.ĬPKREDIR also, by virtue of allowing the user to choose which external files are loaded when Generations requests resources of different types, allows the user to combine different modifications.

It is recommended that you have a folder containing clean versions of the files in the CPK archive, so that you do not have to unpack every single time you want to revert a file back to its original state.ĬPKREDIR by Korama, a Tech Member of Sonic Retro, is a DLL that intercepts attempts by Sonic Generations to read files within a CPK archive it then redirects the calls and instead returns the requested data from external files specified by the user. These use cases are enabled by new API parameters in our /v1/chat/completions endpoint, functions and function_call, that allow developers to describe functions to the model via JSON Schema, and optionally ask it to call a specific function.QuickBMS is used to extract CPK files (*.cpk) from the disk and sound folders of Sonic Generations', with the help of this script (right click and choose Save as).

place last month?” to a SQL query using sql_query(query: string).ĭefine a function called extract_people_data(people: ), to extract all people mentioned in a Wikipedia article.

Convert natural language into API calls or database queriesĬonvert “Who are my top ten customers this month?” to an internal API call such as get_customers_by_revenue(start_date: string, end_date: string, limit: int), or “How many orders did Acme, Inc.

Create chatbots that answer questions by calling external tools (e.g., like ChatGPT Plugins)Ĭonvert queries such as “Email Anya to see if she wants to get coffee next Friday” to a function call like send_email(to: string, body: string), or “What’s the weather like in Boston?” to get_current_weather(location: string, unit: 'celsius' | 'fahrenheit').

Function calling allows developers to more reliably get structured data back from the model. These models have been fine-tuned to both detect when a function needs to be called (depending on the user’s input) and to respond with JSON that adheres to the function signature. This is a new way to more reliably connect GPT's capabilities with external tools and APIs. Developers can now describe functions to gpt-4-0613 and gpt-3.5-turbo-0613, and have the model intelligently choose to output a JSON object containing arguments to call those functions.