How to use Chat GPT for Recent Topics after September 2021?

ChatGPT's knowledge is limited, offering info only up to September 2021. To get help on any more recent topic, we have to train chat GPT on the topic first. In this video, I show how to do this for both the free and premium versions.
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Пікірлер: 14

  • @NiinyTV
    @NiinyTV6 ай бұрын

    you provide a lot of value man, i have to comment so you know and keep up. i watch a lot of a videos but only sub'd today, dont know why it took me so long. your SAP videos are amazing

  • @ChatGPt2001
    @ChatGPt200110 ай бұрын

    I can provide some general guidance on how you might adapt GPT-3.5-based models like me to more recent topics if you have access to the necessary resources and infrastructure. Please note that this guidance is based on my last update in September 2021, and there may have been developments or improvements in AI models and tools since then. To adapt GPT-3.5 for more recent topics, you would typically need to follow these steps: Access to Training Data: Gather a dataset of text related to the recent topics you want to discuss. This dataset should cover a wide range of information and perspectives on the subject matter. The dataset should also be cleaned and preprocessed to ensure high quality. Fine-Tuning: Fine-tune the GPT-3.5 model on your specific dataset. Fine-tuning is a process that involves training the model on your custom dataset to make it more knowledgeable about the particular domain or topics you're interested in. API Integration: If you have access to the OpenAI API, you can integrate your fine-tuned model into your applications, websites, or services. This would allow you to use the adapted model to answer questions and engage in conversations about the recent topics. Continuous Learning: Keep your model up-to-date by periodically retraining it with new data. This is crucial because the information landscape is constantly evolving, and keeping your model current will ensure it provides accurate and relevant responses. Please note that fine-tuning and using AI models for specific topics can be a resource-intensive process, both in terms of data and computational power. Additionally, ethical considerations and responsible AI usage should always be a priority, especially when dealing with sensitive or controversial topics. Keep in mind that OpenAI may have released newer models and updates since my last training data in September 2021. You should consult OpenAI's official documentation and resources for the most current information on their models and services.

  • @AmitSingh-fg3oh
    @AmitSingh-fg3oh11 ай бұрын

    Can I subscribe Elite membership yearly plan? I can see only the monthly plan

  • @MohammedImran-kj8zu
    @MohammedImran-kj8zu11 ай бұрын

    Thanks for the demo, can we use chatgpt 4 to solve any production issues by giving the error message number? Is version 4 strong enough to provide the correct solution?

  • @AbdullahGalal

    @AbdullahGalal

    11 ай бұрын

    I tried with a couple of errors and it gave me wrong info, so my Intell initial impression is no it can't be used for that. Still need to test that more

  • @ChatGPt2001

    @ChatGPt2001

    10 ай бұрын

    As of my last knowledge update in September 2021, ChatGPT-4 or any earlier versions of GPT models are not specifically designed to diagnose and resolve production issues based solely on error message numbers. These models are generally used for natural language understanding and generation, and while they can provide information and suggestions, they may not be equipped to address specific technical issues without context. Here are a few considerations: 1. **Context is Crucial:** GPT models generate responses based on the input they receive. To effectively diagnose and resolve production issues, you would typically need to provide detailed information about the issue, its context, and any relevant error messages. Simply providing an error message number may not be sufficient for a precise solution. 2. **Technical Expertise:** Depending on the complexity of the production issue, you may require the expertise of a technical support team or subject matter experts who are well-versed in the relevant software, systems, and error messages. 3. **Potential Limitations:** GPT models like ChatGPT-4 are powerful language models, but they may not have access to up-to-date technical documentation or specific domain knowledge required for complex technical problem-solving. Their responses are generated based on the data they were trained on, which may not encompass the latest troubleshooting information for all software and systems. 4. **Safety and Accuracy:** In a production environment, it's crucial to ensure that any recommendations or solutions provided are accurate and safe. Relying solely on AI models for critical production issue resolution may carry risks if they are not thoroughly validated. In summary, while ChatGPT-4 and similar AI models can provide general information and suggestions, they should be used as tools to assist human experts rather than as primary solutions for complex production issues. When facing production problems, it's advisable to engage your technical support teams, system administrators, or relevant experts who can analyze the specific situation, understand the error messages in context, and provide accurate and safe solutions. AI can complement human expertise in troubleshooting, but it should not be relied upon as the sole source of solutions for critical issues.

  • @stonecoldsteveaustin62
    @stonecoldsteveaustin6211 ай бұрын

    Hi, i cant think of any way to use chatGPT or any other AI tool for use in the context of SAP functional processes... I only got around to thinking that this can be used may be for user training or for preparing a detailed FAQ for users from a huge document repository or atmost may be to do some kind of huge data analysis... may be SAP data or may be incident data to track SLA or project data to track milestones.....Is my understanding correct or am I missing something pretty obvious?😇

  • @AbdullahGalal

    @AbdullahGalal

    11 ай бұрын

    Well till recently this has been my feedback too. But after using the premium version gpt 4 ..I believe it can even be used to support end users I'll publishba video showing how GPT4 can solve end user errors

  • @stonecoldsteveaustin62

    @stonecoldsteveaustin62

    11 ай бұрын

    @@AbdullahGalal ohh thats interesting to know....many thanks for your reply n i eagerly look forward to your video on the same...:)

  • @ChatGPt2001

    @ChatGPt2001

    10 ай бұрын

    Your understanding of how ChatGPT or other AI tools can be used in the context of SAP functional processes is on the right track, but there are indeed more possibilities and applications that you might explore. Here are some additional ways AI can be leveraged in the context of SAP: 1. **User Support and Training:** - As you mentioned, ChatGPT or similar AI models can be used to provide real-time assistance to SAP users. They can answer user queries, guide them through processes, and troubleshoot common issues, thereby reducing the load on your support teams. 2. **FAQ Generation:** - AI can help automate the process of creating and updating FAQs or knowledge bases for SAP users. It can extract relevant information from documents, manuals, or other sources to generate detailed FAQs. 3. **Data Analysis and Reporting:** - AI can be used to analyze large volumes of SAP data, including transactional data, to identify trends, anomalies, and insights. This can help in making data-driven decisions and tracking key performance indicators (KPIs). 4. **Predictive Maintenance:** - For organizations using SAP for asset management, AI can predict equipment failures and maintenance needs based on historical data and sensor inputs. This can help prevent downtime and reduce maintenance costs. 5. **Automation of Repetitive Tasks:** - AI-powered bots can automate repetitive and rule-based tasks within SAP, such as data entry, invoice processing, and order fulfillment, improving efficiency and accuracy. 6. **Natural Language Interfaces:** - Develop conversational interfaces for SAP systems using AI, allowing users to interact with SAP using natural language commands, making it easier for non-technical users. 7. **Process Optimization:** - AI can analyze SAP business processes to identify bottlenecks and inefficiencies, suggesting improvements to streamline operations. 8. **Security and Compliance Monitoring:** - AI can monitor SAP systems for security breaches and compliance violations in real-time, helping organizations protect sensitive data and maintain regulatory compliance. 9. **Inventory Management:** - AI can optimize inventory levels by predicting demand, supplier lead times, and consumption patterns, ensuring that organizations maintain the right level of stock without overstocking or understocking. 10. **Customer Engagement:** - AI-powered chatbots can enhance customer engagement by providing quick responses to customer inquiries related to orders, deliveries, and invoices, all of which are typically managed within SAP systems. Your understanding of AI's potential applications within SAP processes is a great starting point, but as AI technology continues to advance, new possibilities and use cases may emerge. It's essential to assess your organization's specific needs and challenges and explore how AI can be tailored to address them effectively.

  • @stonecoldsteveaustin62

    @stonecoldsteveaustin62

    9 ай бұрын

    @@ChatGPt2001 woah....thats a very comprehensive reply... thank you very much...i will try to understand each of the points you mentioned in detail.... but over the last few weeks i was trying to see on one other possible use case... which im not sure whether AI tools can work in that way....i read another one of your comments where you mentioned "context is the key".... when it comes to the ability of AI to actually provide a sensible response to a production error message or wrt the possible cause of any error message.. On those lines, i was wondering how and whether it is possible to train chatgpt to be able to check and identify the cause of a particular error message if details like below are specifically provided : 1) complete and accurate TS/FS document 2) complete program codes involved 3) data from relevant tables involved What benefits i seek from this is(if it can be done so) : 1)improved turnaround time for resolution of issues 2) reduced dependency on technical team for less complex codes 3) identify with help of AIany improvements that can be done to the code(useful for an abap consultant) PS. im a functional SAP consultant not well versed with abap...;) Will it be useful if i subscribe for gpt 4 ... can i explore these things in gpt 4? I tried in free version it just gave me generic pointers...

  • @Rohalbet
    @Rohalbet11 ай бұрын

    Why cant I see the plugin options under GPT-4? I already paid for that membership

  • @AbdullahGalal

    @AbdullahGalal

    11 ай бұрын

    Check this link and let me know if it solves your issue help.openai.com/en/articles/7183286-how-do-i-access-plugins#

  • @mayaelcheikh6437

    @mayaelcheikh6437

    10 ай бұрын

    @@AbdullahGalal didnt work for me