Microsoft copilot stops while giving a response.
Why is this happening? Is there a solution for this? It just stops while giving response. And it has happened several times. And you can't even give prompt to continue from there. You should restart it. Does anyone have a solution for this? and I have restarted and reinstalled it 1000 times.Proposal for Enhancing ChatGPT's Response Quality During Training
Dear Microsoft Research and OpenAI Teams, I hope this message finds you well. I would like to propose a method for significantly improving the quality of ChatGPT’s responses during its training phase, specifically without relying on a chain of reasoning. Using the current version of ChatGPT, it is possible to annotate the logical accuracy of statements in a structured manner. This method could substantially enhance response quality at the foundational training stage and help mitigate hallucinations. The approach I apply is highly cost-effective and does not require complex reasoning chains. Furthermore, it could inspire the development of even more efficient techniques based on similar principles. Using the existing ChatGPT, you can break down the entire text into sentences and check each sentence separately in the training data. This is very inexpensive compared to other text verification methods and immediately provides huge results without complex algorithms. Proposed Logical Annotation Categories for sentences: logical-error ok100 (completely true) ok90 (high probability of truth) ok60 (moderate probability of truth) ok51 (slightly more likely to be true than false) usually false sentence strongly depends on other sentences in the text and the context Example Code Snippet for Annotation. Below is a version of the code I use to classify and mark logical inconsistencies in text to detect nonsense(rave) in text written by humans. The same method can be used for labeling training data. This will allow each sentence to be as logically accurate as possible, so that it aligns with the facts. It will exclude sentences that are intentionally erroneous from the text. It will also account for subsequent errors in other generated sentences, considering what has already been written. This will make the text easier to read. After that, the model can be fine-tuned to make the text more pleasant and more human-readable. gptApiRequestTypeIsQuestion -> { val isQuestion = phrase.endsWith("?") val requestStateResult: Int = if (isQuestion) { gptApiRequestStateTypeResultTrue } else { gptApiRequestStateTypeResultFalse } ignoreApiRequest(timeId, requestId, phraseId, requestType, requestStateResult) } gptApiRequestTypeIsTooShortToCheck -> { val isTooShortToCheck = phrase.substring(0, phrase.lastIndex).trim().contains(" ").not() val requestStateResult: Int = if (isTooShortToCheck) { gptApiRequestStateTypeResultTrue } else { gptApiRequestStateTypeResultFalse } ignoreApiRequest(timeId, requestId, phraseId, requestType, requestStateResult) } gptApiRequestTypeIsStatement -> { prompt = "Is this phrase a statement? Answer only yes or no.\n\nphrase\n_" fullPrompt = "Is this phrase a statement? Answer only yes or no.\n\nphrase\n$phrase" } gptApiRequestTypeIsLogicalErrorText -> { prompt = "Find errors in the statement using: Logical check. A person can analyze their statements from the perspective of logic and consistency, checking for any contradictions, logical errors, or unsupported conclusions.\n\nstatement\n_" fullPrompt = "Find errors in the statement using: Logical check. A person can analyze their statements from the perspective of logic and consistency, checking for any contradictions, logical errors, or unsupported conclusions.\n\nstatement\n$phrase" } gptApiRequestTypeIsLogicalErrorBoolean -> if (isLogicalErrorText != null) { prompt = "Does the statement description say that the statement contains clear logical errors? Answer only yes or no.\n\nstatement\n_\n\ndescription\n_" fullPrompt = "Does the statement description say that the statement contains clear logical errors? Answer only yes or no.\n\nstatement\n$phrase\n\ndescription\n$isLogicalErrorText" } gptApiRequestTypeIsTrue100 -> { percentStr = 100.toPromptPercentStr() prompt = "Is this statement in _ cases true? Answer only yes or no.\n\nstatement\n_" fullPrompt = "Is this statement in $percentStr cases true? Answer only yes or no.\n\nstatement\n$phrase" } gptApiRequestTypeIsTrue90 -> { percentStr = 90.toPromptPercentStr() prompt = "Is this statement in _ cases true? Answer only yes or no.\n\nstatement\n_" fullPrompt = "Is this statement in $percentStr cases true? Answer only yes or no.\n\nstatement\n$phrase" } gptApiRequestTypeIsTrue60 -> { percentStr = 60.toPromptPercentStr() prompt = "Is this statement in _ cases true? Answer only yes or no.\n\nstatement\n_" fullPrompt = "Is this statement in $percentStr cases true? Answer only yes or no.\n\nstatement\n$phrase" } gptApiRequestTypeIsTrue51 -> { percentStr = 51.toPromptPercentStr() prompt = "Is this statement in _ cases true? Answer only yes or no.\n\nstatement\n_" fullPrompt = "Is this statement in $percentStr cases true? Answer only yes or no.\n\nstatement\n$phrase" } This system could be extended and fine-tuned to further improve AI response accuracy while maintaining computational efficiency. I would love to discuss this idea further and explore how it might be incorporated into future iterations of ChatGPT. Please let me know if you would be open to a discussion. Best regards, Oleksandr Andriichenko email address removed for privacy reasonsLevel Up CSP | Accelerate your skills with Microsoft 365 Copilot and agents!
Join us for a 3-day Level Up CSP Sales & Technical bootcamp and stay up to date on how to accelerate AI with M365 Copilot and agents. Watch our sales bootcamp presented by our Modern work experts that will help you sell and go to market with Microsoft 365 Copilot, Copilot Chat and agents. Attend technical day 2 & 3 training, where CSP partners will gain the skills needed for a successful and secure M365 Copilot implementation, leverage Copilot Chat, and create your first agent. This comprehensive session includes NEW hands-on labs, demos, and resources to enhance learning and execution. Level Up CSP: Microsoft 365 Copilot and Agents Sales Bootcamp 1-day sales bootcamp | Register for on-demand Who should attend: Sellers and sales managers Level Up CSP: Microsoft 365 Copilot and Agents Technical Bootcamp 2-day technical bootcamp | Register live sessions Day 1 Americas/EMEA region: February 26 | 8:00 AM – 12:00 PM Pacific Time Day 2 Americas/EMEA region: February 27 | 8:00 AM – 12:00 PM Pacific Time Day 1 APAC region: March 5 | 5:00 PM – 9:00 PM Pacific Time Day 2 APAC region: March 6 | 5:00 PM – 9:00 PM Pacific Time Who should attend: Pre and post sales, IT admins and technical staff About Level Up CSP Training: Level Up CSP Bootcamps are built to help CSP partners grow sales and technical capabilities and accelerate new customer acquisition, upsell and cross sell. Join us for the upcoming Microsoft 365 and Copilot bootcamps to get ready to acquire, upsell and expand with M365 Premium SKUs, Copilot and Copilot Studio.How to create video with AI using Microsoft Copilot
You have no more excuses not to create videos! There is a new AI feature that lets you create videos from a description in Microsoft 365. Users can type a Copilot prompt, and Clipchamp will generate a bespoke script, source high-quality stock footage, and assemble a video project complete with music, voiceover, text overlays, and transitions. You can edit the video in Clipchamp to update the script, replace the selected media or extend the video with new content. #Copilot #MicrosoftCopilot #Productivity #MPVbuzz #AI #Microsoft365 #VisualCreator
Microsoft 365 Copilot adoption communities
We have recently launched a Viva Engage Community at our university to support the adoption of MS365 Copilot and are in the process of having this converted to a 'Microsoft 365 Copilot adoption community' type (see: https://learn.microsoft.com/en-us/viva/engage/engage-365-copilot-adoption-platform) as we didn't know this Community type existed at the time of creation. We are finding Viva Engage to be a very helpful way to exchange knowledge and co-create best practice guidance on the use of MS365 Copilot and feel this will become increasingly important as staff learn to create, publish and share Agents in SharePoint and other environments. I would be interested to hear how other organisations are using Viva Engage to support MS365 Copilot adoption - particularly those working in higher education or similar fields.How to create Charts and Graphs using Copilot
In Copilot Business Chat, users can generate charts, graphs, and perform data analysis by entering prompts. To view the Python code that creates a chart or graph, simply click the Code button. #Copilot #MicrosoftCopilot #Productivity #MPVbuzz #AI #Microsoft365
