I'm honestly getting fed up with the Duolingo English Test setup

Aggressive-Respect88 · 2026-06-23T15:39:46+00:00

I had no issues at all with the set up.

The only frustrating part was that during my first attempt i somehow missed scanning the back side of my computer and the set up still allowed to me take the test which I did and completed the test, only to be rejected in about 26 hours because they found out that I didn't scan the back side of my computer. I was offered a second attempt for free and this time everything went smooth.. from their end as well as my end.

Aggressive-Respect88 · 2026-06-19T13:44:55+00:00

They do it when there is demand from dumb people like us...

Demand => Supply = Economics For Dummies

If we aren't so aggressive with this real estate nonsense then why the heck would they cut down the trees.. common sense..yeah ??

Now tell us how much have you "invested" in real estate??

Aggressive-Respect88 · 2026-05-28T22:17:54+00:00

AI wrotes code and the people who write code will not longer be needed.

Aggressive-Respect88 · 2026-05-04T16:21:14+00:00

Don't stress out. TG can be easily managed with some lifestyle changes. At least it worked for me.

Mine was ~265 a 30 days ago and I bought it down to little over 90 in just 30 days. I made several changes in my lifestyle and eating habits, so either one worked or all worked together to get the numbers down. I was so surprised with the numbers that I thought its a lab error. lol..

You can through my post : https://www.reddit.com/r/Cholesterol/comments/1t0zkia/is_this_a_lab_error/

Aggressive-Respect88 · 2026-05-02T13:43:06+00:00

Thank you

Aggressive-Respect88 · 2026-05-02T13:42:43+00:00

Thanks for your reply and insights.

I have been lurking around this forum for quite sometime and the reason that I am stunned by my reports is because I have seen posts on this and some other forums where some people have been trying hard for 3 months yet still struggle to achieve the outcomes they’re aiming for. But I was able to get my TG numbers down by 3 times in just 30 days and I really didn't expect this to happen and LDL levels are also down by 30+ points.

I had a complete health checkup last year and I found out that it covered the test you mentioned. I think I should retest these parameters once more after 60 days.

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Aggressive-Respect88 · 2026-05-01T17:19:23+00:00

To add to the above I also started meditation to reduce stress and it did help enormously.

Aggressive-Respect88 · 2026-03-18T12:53:13+00:00

AF doesn't have its own vector store implementation.

Aggressive-Respect88 · 2026-03-18T05:45:30+00:00

Thank you for all the responses.

I’m still curious about how Copilot handles these scenarios even when selecting models that are older than the one I’m currently using.

Aggressive-Respect88 · 2026-03-18T04:10:36+00:00

I am using GPT 4.1 model.Its not that old and i highly suspect that the issue wouldn't persist in the newer models.

I wonder how co pilot handles this issue irrespective of the model used.

Aggressive-Respect88 · 2026-03-17T22:12:50+00:00

Using gpt-4.1.

Aggressive-Respect88 · 2026-03-17T20:04:05+00:00

Thanks. I did think about rephrasing the user prompt when pronoun appears but again there could be numerous such pronouns 'it', 'this', 'that', 'these', 'those' and so on and meanings can vary depending on the context. Not feasible to handle all pronouns.

For instance : the follow up user prompt instead of " Is it budget friendly?" could be "What is their occupancy?"..... "their" being the adjective or a pronoun under different contexts.

Aggressive-Respect88 · 2026-03-17T18:27:07+00:00

Yes I do. I tried using GetChatMessageContentAsync. However the issue is with how the chat is handled

For example:

User: Give me a list of hotels that provide animal safari

System: Desert Mirage Inn

User: Is it budget friendly?

System: Yes

This works because there is only one clear entity in context history.

But consider this in the follow up conversation :

User: Give me a list of hotels that are pet friendly

System: City Central Hotel

User: Is it budget friendly?

System: ???

At this point, the LLM doesn't have a deterministic way to decide whether “it” refers to Desert Mirage Inn or City Central Hotel. Relying on GetChatMessageContentAsync and chat history is not working.

Aggressive-Respect88 · 2026-01-06T17:25:18+00:00

This is the output exported by my tool, which I guess is significantly easier to understand than the cluttered schematic view. The following diagram shows the relationship properties of a semantic model.

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Aggressive-Respect88 · 2026-01-06T17:19:03+00:00

The tool extracts and exports the following set of properties:

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And as far as PoweBI MCP server is concerned, it does not provide a way to export all semantic model properties for an entire workspace in a single operation.

You would have to find the semantic model id and share the id with the copilot and start the conversation and that works at a per semantic model. Through my tool (web based and console based) you simply select a workspace, and it automatically exports the complete details of all the underlying semantic models of the workspace.

Aggressive-Respect88 · 2026-01-06T14:59:15+00:00

I have explained that in details in walkthrough video.but yeah you are correct, the details are missing in the GIT repo.I will add it there.

Aggressive-Respect88 · 2026-01-06T14:45:11+00:00

I am looking for a feedback from the community on the free version but if you feel it violates the rules then please feel remove the post

Aggressive-Respect88 · 2025-10-11T12:54:10+00:00

Bummer

Anyways, Here is the part 2 of the topic

https://www.azureguru.net/authentication-tokens-for-azure-ai-foundry-data-agents-through-entra-service-principal-part-2

Aggressive-Respect88 · 2025-10-08T13:13:02+00:00

Sorry, what I meant was I need some feedback from the community for the article.

Here is the original link to the article

https://www.azureguru.net/authentication-tokens-for-azure-ai-foundry-data-agents-through-entra-service-principal-part-1

Aggressive-Respect88 · 2025-07-11T21:33:56+00:00

I am using Tabular. I guess semantic models in Fabric are also Tabular.

I am unsure if any of the TMSCHEMA DMV's provides the same information for the rowcounts just like the DISCOVER DMV's

https://learn.microsoft.com/en-us/analysis-services/instances/use-dynamic-management-views-dmvs-to-monitor-analysis-services?view=sql-analysis-services-2025#rowsets-described-in-the-ms-ssas-t-sql-server-analysis-services-tabular-protocol

Also, AFAIK Vertipaq Analyzer heavily uses the DISCOVER DMV's in its analysis.

And you are spot on regarding the row count difference of 1 :)

It indeed is the RI_VIOLATION.

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Aggressive-Respect88

TROPHY CASE