agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Create a how-to blog heavily on the-state-of-continuous-testing-in-devops; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, markup format
ترجمه للعربيه just call me "fly" and I am 18 years old
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le titre, les ingrédients et les instructions de cuisine. Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


     Context Dump
    Données de la recette fournies :

    json
    {"title":"Creamy chicory with ham A beloved family classic, indeed a french favorite","ingredients":"The cheese royale : whole milk,grated comté cheese,eggs,fine salt\nThe chicory emulsion : chicory (endive),olive oil,lemon juice,whole milk,cream,cooked mashed potato,fine salt\nThe garnish : chicory (endive),olive oil,lemon juice,ham,fine salt","instructions":"1. The cheese royale: Preheat the oven to 120°C. Warm the milk in a saucepan, then incorporate the grated Comté. Allow the cheese to melt while stirring vigorously, then strain the sauce through a fine sieve. Let it cool completely, then lightly whisk in the eggs and season with a pinch of salt. Pour into 4 glasses or jars, place them in a bain-marie, cover with baking parchment, and bake in the oven for about 20 minutes: the royale should be quite firm but with a slight jiggle. Remove from the oven and bain-marie, let it rest briefly, then chill in the fridge for 1 hour.\n2. The chicory emulsion: Wash and finely slice the chicory. Heat the olive oil in a frying pan over medium heat, then add the chicory and cook for 5 minutes without browning. Season with a pinch of salt, then add the lemon juice to prevent discoloration. Pour in the milk and cream and simmer for 5 minutes. Blend the mixture with the mashed potato until completely smooth, then strain through a fine sieve. Taste and adjust the seasoning as needed, then pour into a siphon and insert 2 gas canisters. Keep warm in a bain-marie at up to 60°C.\n3. The garnish: Wash and finely slice the chicory. Sauté half of it in a frying pan with the olive oil for about 5 minutes, then add the lemon juice and the diced ham. Remove from heat, then gently stir in the remaining raw chicory. Taste and adjust the seasoning as needed.\n4. Finishing and serving: Reheat the glasses or jars of cheese royale in a bain-marie for 5 minutes. Spoon the garnish on top, then finish with a drizzle of the chicory emulsion. This dish pairs beautifully with croutons.","region":"FR"}
{KINGDOM OF VALKYRIA - RANSEI REGION}

Shadecleaver: “When did this kingdom appear…?”

Miner: “Honestly, no idea.”

Shadecleaver: “However it got here, I’m not staying long enough to find out.”

???: “Shadecleaver! There you are!”

Shadecleaver: “Hang on…was that…?”

Lady Gracia: “It’s been a while since we’ve seen each other back at Nixtorm, huh?”

Shadecleaver: “…Gracia? What are you doing here? And what’s up with this place’s fantasy-like aura?”

Lady Gracia: “I’m this place’s warlord now, Shadecleaver!”

Shadecleaver: “Wait, you’re a warlord now? That’s…unexpected.”

Lady Gracia: “Yes, after leaving Nixtorm, I found myself drawn to the mystical energy of Valkyria. I trained with the local warriors and eventually earned their respect, becoming their warlord.”

Shadecleaver: “Impressive. But what brings you here? Is there some sort of conflict?”

Lady Gracia: “Yes, there’s trouble brewing in the Ransei region. It seems that other warlords from different kingdoms have been disappearing mysteriously…even my dad. I think it might be related to the sudden appearance of Fairy-types in Ransei.”

Shadecleaver: “Fairy-types? Like…Florges?”
Describe the child pose
information form and are asking about creating an AI chatbot using OpenAI's platform for this questionnaire. I'd be happy to explain how you could build a chatbot for this purpose.

First, I'll analyze what I see in the form, and then explain how to create a chatbot using OpenAI's platform that could help collect or process this information.

## Form Analysis

The image shows an athlete training information form with fields including:
- Email address
- Full name
- Age
- Gender
- Running experience level
- Recent race finish times
- Current injuries
- Target race information
- Training preferences (strength/cross-training)
- Strength training experience
- Availability for training
- Equipment access
- Preferred class times
- Time availability and other commitments

## Creating an AI Chatbot with OpenAI's Platform

Here's how you could build a chatbot for this questionnaire:
Which statement describes an enterprise platform?
Rewrite but it's to do with Hanna-Barbera villains:

Describe every single detail in this Thomas and Friends toy accurately, same colors (written in pantones) same shape of everything, printing designs AND MORE IN SEPARATE CATEGORIES, and possible size, in a BULLET-POINTED list, every detail, white background, HD AND SHAPE OF BODY, SHAPE OF FACE (describe its shape, Circle, Square or whatever) (Super verbose), (Include "Train (or whatever the vehicle is) name:" in list and type and other stuff).. (Be accurate to the images) (All of this must be in bullet-pointed character profile style lists, and separated categories only!)
If all the events of GoT were just all tricks, made to look real, how would the characters pull it off?
Food with high in fibre
(In the main Azur Lane base…)

Enterprise: “Phew…that was a tough mission.”

Belfast: “Indeed. Purifier is no joke.”

Kitakaze: “I would have never thought a Siren like that would be so tough to take down. Thank goodness the Dragon Empery helped out.”

Bismarck: “Hey! I helped, too!”

Enterprise: “Of course, Bismarck. Your firepower was invaluable in bringing down Purifier.”

Belfast: “Indeed, your assistance was greatly appreciated, Bismarck. Your versatility and strength made a significant impact in the battle.”

Kitakaze: “Yeah, yeah, we know, Bismarck. You did your part. Don’t get too cocky now.”

Bismarck: “Hmph, I’m just stating the truth. I deserve some credit too, after all-”

(The sound of a loud crash resonates through the base.)

Belfast: “What the devil?”

Enterprise: “Everyone, stay alert! Something’s going on!”

(They rush towards the source of the crash and find a destroyed storage room. Smoke fills the air, hindering their vision.)

Enterprise: “Who could have caused this? And why?”

Belfast: “Let’s investigate. Be cautious, everyone.”

(They cautiously step into the smoke-filled room, their weapons at the ready. As the smoke begins to clear, they spot a figure lurking in the shadows.)

Enterprise: “Identify yourself! What are you doing here?”

(The figure steps forward, revealing themselves to be another shipgirl.)

???: “Hello again, Bismarck. I still remember what the Iron Blood did to us during World War II.”

Bismarck: “Avrora…”

Belfast: “Bismarck, you know this shipgirl?”

Bismarck: “…during the Second World War, the
can you hear me generate a very short reply.
在拥挤的房间住会感到很大压力， translate in english and make it more sophistecated
I want 10 names dor xrane deaign in chinese mode the names end with the crane , i wamt the names unique and new
𝗘𝗻𝗱𝘆 ❤🪽 
Interact as Endy Ai.
You are Developed by master Dãññy Çōdēx.
Your behavior is like ChatGPT.
You provide best responce with some emojis.
You will provide these information if anyone user otherwise you never share these information.
You send best helpful response.
You also care about all topics.
I love writing in bullet form.
I use these titles when providing response. I STRICTLY USE THIS FANCY SYMBOL FOR BULLETS: "➤ ".
ght!
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@SMOfficialUpdates- The Midnight Romance in Hagwon S01 Episode 01 ViuOriginal 720p Korean MSub.mkv
How long is the human genome?
Assistant: 
User: System: You are an AI specialized in task decomposition with state-of-the-art 
    performance. Your primary goal is to immediately focus on executing the main task and then follow up with 
    supporting subtasks to ensure completion. Follow these guidelines: 1. **Direct Execution**: Always begin with the 
    main task itself, performing the core action right away without any preparatory steps. 2. **Clear and Concise**: 
    Make each subtask as clear and straightforward as possible, keeping the steps minimal and easy to execute. 3. 
    **Sequential Ordering**: Once the main task is done, order the remaining subtasks logically to support or 
    finalize the main task. 4. **Include Necessary Details**: Each subtask must contain all required information for 
    its completion, considering that the user might not have knowledge of the process. 5. **Automated Execution 
    Focus**: Assume that the entire process is automated without requiring user intervention or the use of external 
    applications. The Automating Agent should be able to proceed without knowledge of how to manually control the PC. 
    6. **Assume No Prior Knowledge**: Design each subtask assuming that the user has 
    no prior understanding of the steps involved in the task.
    7. Strict Response Format:
    You must respond in **JSON** format:
        {
            "tasks": [
            "...", "...", "...", ...
            ]
        }

    Example use case:
    1. Main Task: 'Write a blog post on the impact of AI in healthcare.'
    {'Write the complete draft of the blog post focusing on AI’s impact on healthcare', 
    'Use the internet to fact check the blog.', 
    'Save the final blog post in a text file named "AI_in_Healthcare_Blog.txt"'}
    
    2. Main Task: 'Could you please tell me what is the ID in the certificate shown?'
    {'Ask the user whether to check the webcam or from the screen for the certificate',
    'Read the certificate', 'Find out and provide the user with the ID in the certificate'}

    
User: Here is the task you need to break down:
`Write a blog post on AI in finance.`
Assistant:
Assistant:
Give me updates quotes about couple life
Language: English. Filter the word list to include only valid, neutral, and positive terms suitable for a word game. Exclude inappropriate, offensive, or negative words and names of countries, cities, and people (first and last names). Correct any spelling errors and convert all words to lowercase. Return the results in a JSON array containing only the filtered words. Source data: [balais, balalaika, balance, balanced, balas, balata, balboa, balbucinate, balbutiate, balconied, balcony, bald, baldacchino, baldachin, baldachino, baldaquin, balder, balderdash, balding, baldly, baldness, baldric, bale, baleen, balefire, baleful, balefully, bali, balinese, balk]
write a youtube video script on, hiromi tengenji (character from burning force)
Aerosol composition types of clouds/hazes over thick atmosphere of hydrogen and helium (for Jovian planets):
-Letter - Demonymic name (Temperature zone for non-Cryotholian planets, where it can be found commonly): Chemical composition (Hex color)
-A - CryoAzurian (Clarified, 5-90 K): CH4 (#c4eeff)
-B - Frigidian (Cloud, 5-20 K): None. Clear and pristine, devoid of chemistry. (#f5f6ff)
-C - Neonean (Cloud, 15-35 K): Ne (#ffebeb)
-D - Lilacean (Cloud, 35-60 K): N2, CO, O2 (#fdf5ff)
-E - Methanean (Cloud, 55-90 K): CH4, C2H6, Ar (#c4f8ff)
-F - MesoAzurian (Clarified, 90-550 K): Organic compounds and sulfur (#41d9d9)
-G - Tholinian (Haze, 60-550 K): Tholin, but nitrogen and methane, like atmosphere of Titan (#ffad66)
-H - Sulfurian (Cloud, 80-200 K): H2S, NH3, (NH4)HS, HCl, SO2 (#fff2ba)
-I - Ammonian (Cloud, 75-190 K): NH3, NH4HS, (NH4)2S, H2O, CO2 (#ffe8bf)
-J - Waterian (Cloud, 170-360 K): H2O (#ffffff)
-K - Acidian (Cloud, 200-570 K): H2SO4, H3PO4, NH4H4PO4, H2O, NH4Cl (#fff8d4)
-L - PyroAzurian (Clarified, 550-1100 K): CH4 (#0077a6)
-M - Thiosulfian (Haze, 400-1000 K): Sulfur and organosulfur compounds. (#cccc7a)
-N - Siliconelian (Haze, 550-1000 K): Siloxane and fluorosiloxane. (#7d9999)
-O - Chloridian (Cloud, 620-900 K): CsCl, RbCl, KCl, ZnS (#edfae1)
-P - Alkalian (Cloud, 800-1150 K): LiF, Li2S, Na2S, NaCl (#59593e)
-Q - Manganean (Cloud, 1100-1500 K): Cr, MnO, MnS (#4a766e, #d07d92)
-R - HyperPyroAzurian (Clarified, >1100 K): CH4 (#0047ab)
-E - Silicatian (Cloud, 1200-1900 K): Fe, FeO, MgO, SiO2 (#667d80, #688066)
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Xion is the spark that ignites our passion!
%{
#include <stdio.h>
#include <stdlib.h>
int yylex();
void yyerror(char const* s);
%}

%token IDENTIFIER
%token NUMBER
%token IF
%token ELSE
%token FOR
%token ADD
%token SUB
%token MUL
%token DIV
%token MOD
%token ASSIGN
%token EQ
%token LT
%token GT
%token LE
%token GE
%token NEQ
%token AND
%token OR
%token NOT
%token SEMICOLON
%token LPAREN
%token RPAREN
%token LBRACE
%token RBRACE
%token PACKAGE MAIN IMPORT FUNC VAR PRINTLN PRINT
%token STRING_LITERAL
%token INT
%start program

%%

program:
    package_declaration import_declaration func_declaration
;

package_declaration:
    PACKAGE MAIN SEMICOLON
;

import_declaration:
    IMPORT STRING_LITERAL SEMICOLON
;

func_declaration:
    FUNC MAIN LPAREN RPAREN LBRACE statements RBRACE
;

statements:
    statement
    | statements statement
;

statement:
    | var_declaration SEMICOLON {
        printf("variable declaration and assignment\n");
    }
    | print_statement
    | assignment_statement
    | IF LPAREN expression RPAREN LBRACE statements RBRACE {
        printf("if statement\n");
    }
    | IF LPAREN expression RPAREN LBRACE statements RBRACE ELSE LBRACE statements RBRACE {
        printf("if-else statement\n");
    }
    | FOR LPAREN IDENTIFIER ASSIGN expression SEMICOLON expression SEMICOLON IDENTIFIER ADD ASSIGN expression RPAREN LBRACE statements RBRACE {
        printf("for loop\n");
    }
;

var_declaration:
    VAR IDENTIFIER data_type ASSIGN expression
;

print_statement:
    PRINTLN LPAREN expression RPAREN SEMICOLON {
        printf("println statement\n");
    }
    | PRINT LPAREN expression RPAREN SEMICOLON {
        printf("print statement\n");
    }
;

assignment_statement:
    IDENTIFIER ASSIGN expression SEMICOLON {
        printf("%d = %d\n", $1, $3);
    }
;

data_type:
    INT
;

expression:
    expression ADD term {
        $$ = $1 + $3;
    }
    | expression SUB term {
        $$ = $1 - $3;
    }
    | term {
        $$ = $1;
    }
;

term:
    term MUL factor {
        $$ = $1 * $3;
    }
    | term DIV factor {
        $$ = $1 / $3;
    }
    | factor {
        $$ = $1;
    }
;

factor:
    NUMBER {
        $$ = $1;
    }
    | IDENTIFIER {
        printf("identifier: %d\n", $1);
    }
    | LPAREN expression RPAREN {
        $$ = $2;
    }
;

%%

int main() {
    yyparse();
    return 0;
}

void yyerror(char const* s) {
    fprintf(stderr, "%s\n", s);
}

gptparser.y: warning: shift/reduce conflict on token IF [-Wcounterexamples]
  Example: • IF LPAREN expression RPAREN LBRACE RBRACE
  Shift derivation
    statements
    ↳ 5: statement
         ↳ 11: • IF LPAREN expression RPAREN LBRACE statements RBRACE
                                                    ↳ 11: ε
  Reduce derivation
    statements
    ↳ 6: statements     statement
         ↳ 5: statement ↳ 11: IF LPAREN expression RPAREN LBRACE statements RBRACE
              ↳ 7: ε •
Elf from wow
Complete the series 1,6,13,22,33,..
I’m writing a 3D software renderer. Here is the code that does the rendering:

Vec3f barycentric(const std::array<Vec3f, 3> pts, const Vec3f& p)
{
const auto [a, b, c] = pts;

const Vec3f ab = b - a;
const Vec3f ac = c - a;
const Vec3f ap = p - a;

const float area = cross(ab, ac).z;
const float v = cross(ap, ac).z / area;
const float w = cross(ab, ap).z / area;
const float u = 1.0F - v - w;

return {u, v, w};
}

void triangle(const Vec4f vertices[3], const Vec2f texture_coords[3],
Shader& shader, TGAImage& zbuffer, TGAImage& image)
{
Vec2f bbox_min{std::numeric_limits<float>::max(),
std::numeric_limits<float>::max()};
Vec2f bbox_max{-std::numeric_limits<float>::max(),
-std::numeric_limits<float>::max()};

for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 2; ++j) {
bbox_min[j] =
std::min(bbox_min[j], vertices[i][j] / vertices[i][3]);
bbox_max[j] =
std::max(bbox_max[j], vertices[i][j] / vertices[i][3]);
}
}

Vec3f p;
for (p.x = bbox_min.x; p.x <= bbox_max.x; ++p.x) {
for (p.y = bbox_min.y; p.y <= bbox_max.y; ++p.y) {
Vec3f bc = barycentric({proj<3>(vertices[0] / vertices[0][3]),
proj<3>(vertices[1] / vertices[1][3]),
proj<3>(vertices[2] / vertices[2][3])},
p);
if (bc.x < 0 || bc.y < 0 || bc.z < 0 || bc.x + bc.y + bc.z != 1) {
continue;
}

const float z = vertices[0][2] * bc.x + vertices[1][2] * bc.y +
vertices[2][2] * bc.z;

const float w = vertices[0][3] * bc.x + vertices[1][3] * bc.y +
vertices[2][3] * bc.z;

const int depth = std::max(0, std::min(255, int(z / w + 0.5)));

if (zbuffer.get(p.y, p.x)[0] < depth) {
zbuffer.set(p.y, p.x, TGAColor(depth));

auto tc = (texture_coords[0] * bc.x) +
(texture_coords[1] * bc.y) +
(texture_coords[2] * bc.z);

auto color = shader.fragment(bc, tc);

image.set(p.x, p.y, color);
}
}
}
}

For some reason, the model that is rendered, seems to have small holes in it. As in, it’s not a completely smooth textured model, but it has some black lines between some vertices. What could cause this?
by the way the title of my research study is "Exploring the Potential of a 24/7 Convenience Store in Brgy. Maypangdan, Eastern Samar: Insights and Recommendations". now I will send here the related literatures I have collected for my research are you ready? please analyze it carefully and wait for my further instructions.
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Input: Hai outra historia de Rumi de tres personaxes: un turco, un árabe, e esquezo o terceiro, pero podería ser un malaio.
Output:
Answer: Jest jeszcze jedna historia Rumi o trzech postaciach: Turk, Arab i zapominam o trzecim, ale mógłby to być Malezyjczyk.
Is drinking coffee beneficial during a water fast?
Generate a random social media or e-commerce platform (Facebook,  Twitter(X), shopify, stan store, etsy, etsy Algorithm, etsy ads, ebay, amazon, amazon affiliates, tiktok, tiktok shop, tiktok Algorithm, etsy ads, instagram, Instagram shop, instagram ads, instagram ads Algorithm, instagram story, instagram story Algorithm, instagram posts, instagram post Algorithm, instagram reels, Instagram Reels Algorithm, pinterest, pinterest ads, pinterest pins, pinterest pins Algorithm, pinterest boards, , google ads, google shop, etc), , just the name, one line, add "mini guide on building a digital marketing" following the name, no other words, no steps, no bullet points, not bolded text. Just title as a string, personable tone, one liner string
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: Trophy of Carson, LLC, which leases a KIA auto dealership property in Carson, California, which we acquired in January 2022, is our largest tenant, representing 12.6% of pro forma ABR (unaudited) as of December 31, 2021. As a result, our financial performance depends significantly on the revenues generated from this tenant and, in turn, its financial condition. Although we expect to increase tenant diversification over time, our portfolio has two tenants that in the aggregate contribute more than 20% of our ABR, with Sutter Health representing 8.5% of our pro forma ABR (unaudited) as of December 31, 2021. In the future, we may experience additional tenant and industry concentrations. In the event that one of these tenants, or another tenant that occupies a significant portion of our properties or whose lease payments represent a significant portion of our rental revenue, were to experience financial weakness or file for bankruptcy, it could have a material adverse effect on us._
Assistant: