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				| @ -1,3 +1,6 @@ | ||||
| 2024 | ||||
| TaylorBlum - 2024 - SQL All-in-One For Dummies 4th ed | ||||
|     317D36A82E28CE96E9DFBB9CCEDAA1E4 | ||||
| 2023 | ||||
| Wade - Mastering SQL Joins | ||||
|     649006BE60C1184DDD53823D80A2956C | ||||
|  | ||||
							
								
								
									
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								nontech/politics/countries/by/shpakovskiy.txt
									
									
									
									
									
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							| @ -0,0 +1,3 @@ | ||||
| 2024 | ||||
| MamikinsTV - Shpakovskiy - Strong BY of 40:50 | ||||
|     https://www.youtube.com/watch?v=ha8tZeQXKxw | ||||
| @ -10,6 +10,10 @@ Soros - Crisis of the World Capitalism (later renounciated it) | ||||
| MichaelTellbot - Golographics Universe | ||||
| 
 | ||||
| 2024 | ||||
| GennadyM - TON and NOT Secrets of 1:26:41 | ||||
|     https://www.youtube.com/watch?v=L0m-ukggvRw | ||||
| USLawAndOrder - Dudnik - GennadyM - 06.30 of 1:01:01 | ||||
|     https://www.youtube.com/watch?v=BoafKAKkUac | ||||
| GennadyM - MosStockExchange of 1:38:30 | ||||
|     https://www.youtube.com/watch?v=4cUnX8JaWIQ | ||||
|     ! 4 mos-excange private brokers-speculants | ||||
|  | ||||
| @ -6,6 +6,8 @@ https://github.com/fiatjaf/jiq | ||||
| tui stuff | ||||
| https://github.com/noahgorstein/jqp | ||||
| 
 | ||||
| 2024 | ||||
| https://medium.com/@buczynski.rafal/exploring-jq-a-guide-to-essential-techniques-and-tools-for-professionals-b9df9db490de | ||||
| 2022 | ||||
| https://ente.io/blog/tech/jq-diff/ | ||||
| 2021 | ||||
|  | ||||
							
								
								
									
										11
									
								
								pl/cross/tools/quality/test/bdd/gherkin/docs/articles.txt
									
									
									
									
									
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							| @ -0,0 +1,11 @@ | ||||
| 2024 | ||||
| https://medium.com/@buczynski.rafal/gherkin-in-testing-a-beginners-guide-f2e179d5e2df | ||||
| https://selleo.com/blog/how-to-start-writing-gherkin-test-scenarios | ||||
| https://hapy.co/journal/gherkin-language/ | ||||
| 2023 | ||||
| https://foxminded.ua/ru/gherkin-chto-eto/ | ||||
| https://support.smartbear.com/cucumberstudio/docs/bdd/write-gherkin-scenarios.html | ||||
| 2020 | ||||
| https://www.software-testing.ru/library/testing/testing-tools/3245-writing-good-gherkin-enables-good-test-automation | ||||
| 2016 | ||||
|     https://habr.com/ru/articles/275013/ | ||||
| @ -0,0 +1,7 @@ | ||||
| 2023 | ||||
| SQAAnalystTechwriterDays - Povelov - Quick Start in Gherkin for Manual QA 0:00 of 40:28 | ||||
|     https://www.youtube.com/watch?v=w4CrhyWWwzk | ||||
| 2022 | ||||
| LitheSpeed - Better Gherkin: Common pitfalls and how to overcome them 0:00 of 38:04 | ||||
|     https://www.youtube.com/watch?v=ci578UHQsIs | ||||
| https://smartiqa.ru/blog/bdd_gherkin_cucumber | ||||
							
								
								
									
										13
									
								
								pl/cross/tools/quality/test/bdd/gherkin/gherkin.txt
									
									
									
									
									
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							| @ -0,0 +1,13 @@ | ||||
| https://github.com/cucumber/gherkin | ||||
| https://github.com/cucumber/gherkin/tree/main/java | ||||
| 
 | ||||
| at vpn | ||||
| https://cucumber.io/docs/gherkin/ | ||||
| https://cucumber.io/docs/gherkin/reference/ | ||||
| 
 | ||||
| https://www.gherkinuft.com/gherkin/ | ||||
| https://wellbehaved.readthedocs.io/Gherkin.html | ||||
| https://specflow.org/learn/gherkin/ | ||||
| https://behat.org/en/latest/user_guide/gherkin.html | ||||
| https://www.spekframework.org/gherkin/ | ||||
| https://jignect.tech/understanding-the-bdd-gherkin-language-main-rules-for-bdd-ui-scenarios/ | ||||
| @ -0,0 +1 @@ | ||||
| https://plugins.jetbrains.com/plugin/9164-gherkin | ||||
							
								
								
									
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								pl/cross/tools/quality/test/contract/specmatic.txt
									
									
									
									
									
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							| @ -0,0 +1,8 @@ | ||||
| https://specmatic.in/ | ||||
| https://specmatic.in/pricing/ | ||||
| 
 | ||||
| https://github.com/znsio/specmatic | ||||
| 
 | ||||
| https://specmatic.in/getting_started.html | ||||
| https://specmatic.in/documentation/contract_tests.html | ||||
| https://specmatic.in/documentation/language.html | ||||
| @ -3,6 +3,15 @@ runtime("org.springframework.boot:spring-boot-properties-migrator") | ||||
| 3.x | ||||
| [VDBUH2024] - Josh Long - Bootiful Spring Boot 3.x 20:00 of 58:09 | ||||
|     https://www.youtube.com/watch?v=3SiYK0BWr0M | ||||
|     @SpringBootApplication | ||||
|     public class ServiceApplication { | ||||
|       ... | ||||
|       @Bean | ||||
|       RouterFunction<ServerResponse> routerFunction() { | ||||
|         return route().GET("customers", null) | ||||
|             .build(); | ||||
|       } | ||||
|     } | ||||
| JavaTechie - Spring Boot 3.2 With Virtual Threads Explained 0:00 of 22:22 | ||||
|     https://www.youtube.com/watch?v=9dUPPHREF7w | ||||
| Lviv JavaClub - [Event 302] Spring boot news by Ihor Didyk 0:00 of 47:37 | ||||
|  | ||||
| @ -5,6 +5,8 @@ https://github.com/JetBrains/spek | ||||
| 
 | ||||
| https://bintray.com/jetbrains/spek/spek | ||||
| 
 | ||||
| https://www.spekframework.org/gherkin/ | ||||
| 
 | ||||
| articles | ||||
| 2021 | ||||
| https://www.baeldung.com/kotlin/spek | ||||
|  | ||||
							
								
								
									
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								science/ai/prompt/parameters.txt
									
									
									
									
									
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							| @ -0,0 +1,33 @@ | ||||
| Employing advanced prompt parameters enables prompt engineers to achieve, among others, several objectives: | ||||
|   Control response length and stop sequence | ||||
|   Define the underlying model | ||||
|   Manage the Creativity Level | ||||
|   Control frequency and presence penalties | ||||
|   Inject start and restart text | ||||
| 
 | ||||
| The "temperature [0 to 1]" is a parameter that controls the creativity and randomness of the model's output.  | ||||
| A higher temperature (e.g., 1.0) makes the output more diverse and creative, while a lower temperature (e.g., 0.1) makes the output more focused and deterministic. | ||||
| 
 | ||||
| 
 | ||||
| The "top_p [0-1]" (also known as nucleus sampling) dictates the scope of randomness for the language model.  | ||||
| It determines how many random results the model should consider based on the temperature setting. | ||||
| 
 | ||||
| The "stop_sequences [list of strings]" is a list of strings or tokens that, when encountered by the model, will cause it to stop generating further text.  | ||||
| This helps control the length and structure of the generated content, preventing the model from producing unwanted text beyond the specified stopping point. | ||||
| 
 | ||||
| The "frequency_penalty [-2 to 2]" parameter reduces the likelihood of the model repeating the same line verbatim by assigning a penalty to more frequent tokens.  | ||||
| A positive frequency penalty (e.g., 1.0) discourages the model from repeating tokens that appear frequently in the input, while a negative frequency penalty (e.g., -1.0)  | ||||
| encourages the model to repeat such tokens. | ||||
| 
 | ||||
| The "presence_penalty [-2 to 2]" parameter increases the chances of the model discussing new topics by penalizing tokens already present in the input.  | ||||
| A positive presence penalty (e.g., 1.0) discourages the model from using tokens already appearing in the input.  | ||||
| In contrast, a negative presence penalty (e.g., -1.0) encourages the model to reuse tokens from the input. | ||||
| 
 | ||||
| The "best_of [positive integer]" allows you to specify the number of completions (n) that the model should generate,  | ||||
| and it returns the best completion according to the model's internal evaluation.  | ||||
| This is useful when obtaining the highest quality completion from different possible results.  | ||||
| (n) can be an integer in the range from 1 to 20. | ||||
| 
 | ||||
| [ | ||||
| {"role": "user", "content": "Write a user story for the login process.", "settings": {"temperature": 0.8, " frequency_penalty": -1}} | ||||
| ] | ||||
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