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This appendix provides tips for installing RStudio Server for use with Oracle Machine Learning for R on Linux. This appendix includes these topics: About RStudioDescribes RStudio. Install RStudio ServerRStudio Server is a Linux application that provides a web-based interface to R on a server. Install RStudio DesktopRStudio Desktop is an IDE for standalone machines. C.1 About RStudio Describes RStudio. RStudio is a free, open source Integrated Development Environment (IDE) for R. RStudio is available under GNU Affero General Public License (AGPL). You can use RStudio with Oracle Machine Learning for R, however RStudio is not included with OML4R. If you want to use RStudio, you must install and license it separately. C.2 Install RStudio Server RStudio Server is a Linux application that provides a web-based interface to R on a server. To install RStudio Server for use with Oracle Machine Learning for R: Go to the RStudio website and navigate to the RStudio Server Download page. Download the server to your Linux system and follow the installation instructions. Create the file /etc/rstudio/rserver.conf. Add the values of R_HOME and ORACLE_HOME. sudo vi /etc/rstudio/rserver.conf rsession-ld-library-path=R_HOME/lib:ORACLE_HOME/libNote: The default value of R_HOME on Linux is /usr/lib64/R. Create the configuration file /usr/lib64/R/etc/Renviron.site. Supply the values of ORACLE_HOME, ORACLE_HOSTNAME, and ORACLE_SID. For example, using the BASH shell: cd /usr/lib64/R/etcsudo vi Renviron.site ORACLE_HOME=ORACLE_HOME ORACLE_HOSTNAME=ORACLE_HOSTNAME ORACLE_SID=ORACLE_SID Restart the RStudio Server service as sudo or root: sudo rstudio-server restart Refer to the instructions for configuring the server. Return to the RStudio Server Download page, then navigate to the Configuring the Server article in the RStudio documentation. C.3 Install RStudio Desktop RStudio Desktop is an IDE for standalone machines. To install RStudio Desktop: Install R. Go to the RStudio website, navigate to the RStudio Desktop Download page, and download RStudio Desktop. Run the installer and follow the prompts. Click the desktop icon to initialize RStudio.

November 24, 2023, 3:16pm 1 I am trying to use GPT4 turbo (1106 preview) and GPT3.5-1106 and short requests are taking a highly variable and often inordinate amount of time. I am tier 3 with a limit of 50k requests per minute but, sending single sequential requests, I’m averaging a 30s response time and getting max 2 requests per minute.If I remove the timeout=5 argument, it gets much worse as it can then hang for minutes on a single attempt.Is everyone experiencing this due to high demand or is it just me?@retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(10))def make_chat_completion_request( prompt: str, model="gpt-3.5-turbo-1106", system_prompt: Optional[str] = None, force_json=True): system_prompt = system_prompt if system_prompt is not None else DEFAULT_SYSTEM_PROMPT if force_json: system_prompt = system_prompt + f" {openai_prompts['force_json']}" response = client.chat.completions.create( model=model, messages=[{"role": "system", "content": system_prompt}, {"role": "user", "content": prompt}], response_format={"type": "json_object"} if force_json else None, timeout=5, ) return response sbaldino November 24, 2023, 4:52pm 2 Yes, I’ve posted about it, receiving no answer.In my case the API randomly hangs on some prompts. If I kill it and send the exact same prompt, the answer is usually fast. But after some other calls, I consistently get a call taking more than 200 seconds.Actually, I’ve noticed something that you could experiment with. In my case, GPT4 calls (turbo model) are quite fast with respect to the standard GPT4.I have your same problem with GPT3.5, but only the model gpt-3.5-turbo-1106. With the old model, gpt-3.5-turbo-0613, I get quick responses.Do you also get quick responses using the old model? Hey,gpt-3.5-turbo-0613 doesn’t seem to have the same problembut it consistently has JSON errors where gpt-turbo-1106 doesn’t because of the new response_format argument.gpt-4-1106-preview (GPT-4 turbo) is working for me and is much faster now (~5s response time).I don’t think it can be just a load issue because if gpt-3.5-turbo was taking 3+ minutes to return for other people, we’d probably be hearing a lot more about it. Hopefully someone from OpenAI can help debug. sbaldino November 27, 2023, 8:26am 4 I didn’t notice any gpt-3.5-turbo-0613 problem with JSON errors, but I can believe that. I’ve just adapted to its way of giving