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Lesson 4
31. And why do they need training at all?
32. Large language models refer to large, general-purpose language models that can be pre-trained and then fine-tuned for specific purposes.
33.In this context, large refers to: The size of the training dataset, which can sometimes be at the petabyte scale
34. And the number of parameters.
35. Parameters are the memories and knowledge that the machine has learned during model training.
35. They determine the ability of a model to solve a problem, such as predicting text, and can reach billions or even trillions in size.
36. General-purpose means that the models can sufficiently solve common problems
37. This is thanks to the commonality of a human language, regardless of the specific tasks.
38. Saying LLMs are pre-trained and fine-tuned, means… …that they have been pre-trained for a general
39. purpose with a large dataset… ...and then fine-tuned for specific goals with a much smaller dataset.
40. But how are LLMs trained?
To be continued…check post 4

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Lesson 3.
21.Gen AI models learn the patterns and structure from input training data and then create new data with similar characteristics.
22.Generative AI has uses across a wide range of industries, including software development, healthcare, finance, entertainment, customer service, and sales.
23.However, rather than exploring all generative AI applications, this training will specifically focus on articulating prompts to harness the power of gen AI effectively.
23.Let me introduce a scenario that we’ll make reference to throughout this section of the training.
24.We’ve included it to help put some of this theory into practice.
25.Meet Sasha, a cloud architect, who needs to create a prototype design of Google Cloud VPC network architecture for Cymbal Bank.
26.Sasha wants to save time by combining her existing knowledge of cloud architecture and generative AI tools to create a usable prototype design
27.Sasha was excited to learn about Gemini, since having the tool inside the Google Cloud Console means that she can access it without any additional installs
28.We’ll check back in with Sasha later
29.Let’s spend some time exploring large language models, which are a highly sophisticated computer programs trained on gigantic amounts of data that can be text or images.
30.But how are they trained?
To be continued…check post 3

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Lesson 2.
11.Generative AI encompasses a broader range of models capable of generating various types of content beyond
12.just text, while LLM specifically refers to a subset of generative AI models focusing on language tasks.
13.We'll thoroughly explore each term in this lesson.
14.So let's begin with an important question: What is generative AI?
15.Generative artificial intelligence, which is commonly referred to as gen AI, is a subset of artificial intelligence
16.that is capable of creating text, images, or other data using generative models, often in response to prompts.
17.It has grown in popularity hugely since 2021 but artificial intelligence has been around since the mid 1950s.
18.By the way, a prompt is a specific instruction, question, or cue given to a computer
19.program or user to initiate a specific action or response, but we examine this more later.
20.In its current format, gen AI models are like conversational programs that can generate content based on the inputs supplied.

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Lessons 1
1.Generative AI and large language models are proving to be powerful tools, but to leverage their capabilities, it's important to understand their architecture.
2.It's also important to consider recommended practices when implementing these technologies.
3.The goal of this module, titled Google Cloud: Prompt Engineer Guide, is to help with these important steps.
4.In this guide to prompt engineering, you’ll get answers to the questions: What is generative AI?
5.What is a large language model?
6.What is prompt engineering?
7.You’ll also explore prompt engineering best practices.
8.You’ll also explore prompt engineering best practices.
9.Before we delve into this lesson, let's define the interchangeably used terms such as 'generative AI' and 'Large Language Model' (LLM).
10.While both terms describe AI models capable of generating human-like responses based on input prompts in many references, it's important to note they're not identical.
To be continued… check post 2

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PartvibePro created a new article
12 w

Anthropic just dropped a 31-page prompting guide. | ##prompt #cloude ##claude4.7

Anthropic just dropped a 31-page prompting guide.

Anthropic just dropped a 31-page prompting guide.

Here's everything you actually need (in 10 rules):
PartvibePro created a new article
12 w

The fastest way to save time? | ##infographics

The fastest way to save time?

The fastest way to save time?

Because a clear day does not
happen by accident.

Stop paying for designers—start Prompting! 🚀

Design a '4:5' product poster for an 'orange' juice 3d bottle using playful inflatable-plastic packaging surrealism where the bottle behaves like a squeezed toy object mid-pressure. The poster should communicate juiciness, tension, and tactile freshness through a bottle that visibly bulges, stretches, and compresses like a soft object being squeezed from the inside out.
SUBJECT:
A single bottle dominates the center-left, illustrated in a semi-3D stylized form (not photoreal). The bottle is visibly distorted—its midsection bulges outward while the neck is slightly compressed, as if internal juice pressure is pushing against the container walls. The liquid inside exaggerates this effect, forming rounded convex surfaces pressing against the plastic. The cap is slightly tilted from pressure. The bottle feels elastic, alive, and reactive rather than rigid.
COMPOSITION:
The composition mechanic is “internal pressure distortion”. The eye enters through the most inflated part of the bottle (center bulge), then follows curved tension lines outward toward stretched typography on the right side. The camera uses a slightly low, close-up perspective with mild fisheye distortion, amplifying the sense of pressure and expansion. The bottle leans diagonally into the frame as if pushing against invisible resistance. Negative space on the right is intentionally stretched and warped, echoing the bottle’s deformation.
TYPOGRAPHY:
Headline: “SQUEEZE BACK” in thick, rounded, inflated lettering that mimics air-filled plastic. The type is physically distorted—letters stretch horizontally near the bottle and compress toward the edges, as if affected by the same pressure force. The headline sits to the right of the bottle but partially overlaps its bulging edge. Subheadline: “Juice that pushes back.” in a narrow condensed sans, straight and rigid, contrasting the soft headline. Small circular microcopy labels (e.g., “100% organic”, “no added sugar”) appear like printed stickers slightly warped by the surface tension.
LIGHTING / GRAPHIC TREATMENT:
Soft studio lighting adapted for stylized rendering—broad diffused highlights across curved surfaces, subtle specular streaks that follow the deformation. No realistic reflections—only controlled, simplified highlight bands that emphasize volume and elasticity.
COLORS:
'orange' juice bottle color and 3d header text. Small accents of 'bright lime green' for sticker elements. High contrast between glowing orange and dark surroundings.
BACKGROUND:
A smooth dark gradient field with subtle radial tension lines expanding outward from the bottle, like invisible pressure waves. No texture clutter—clean but dynamically warped space.
STYLE:
Neo-pop surreal product illustration with inflatable material logic, playful distortion, and high-impact commercial clarity.
FINISH:
Soft plastic-like rendering, clean edges, controlled gradient transitions, no noise or grain, polished but intentionally stylized surface behavior.
FOOTER:
A compact floating sticker cluster in the bottom-right corner containing a small brand placeholder, a circular “fresh batch” seal, and minimal product info arranged like packaging labels.
NEGATIVE:
Avoid realistic photography, static bottle poses, generic splash effects, centered symmetry, rigid typography, template layouts, clutter, excessive gloss, low detail, and stock advertising aesthetics.

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Stop paying for designers—start Prompting! 🚀

Ultra-wide-angle hyper-realistic shooting in top-down mode. A group of 4 real people sitting at a square dining table. The camera is pushed far back, creating a significant negative space (empty floor area) around the people and the table, which provides a clear, minimalistic composition. Scene [ATMOSPHERE AND CLOTHING]: Four people are dressed in [STYLE OF CLOTHING]. Their interaction is specific: [DESCRIBE EACH PERSON'S ACTIONS]. The table is a custom-made physical prop, designed as an Instagram post: it has a solid white stripe ONLY along the top and bottom edges (no white frames on the left or right). - The upper white stripe shows a drawn profile photo with [LOGO DESCRIPTION], the username "[USERNAME]", followed by a small blue icon with a confirmed check mark, and "..." on the right. - Red hearts, comment and share icons are painted on the bottom white stripe on the left, and a Bookmarks icon on the right. The center of the table is filled in [THE EXACT COLOR OF THE CENTER and the hexadecimal CODE]. The table shows [FOOD ITEMS/ITEM DESCRIPTIONS]. important: ALL food, beverages, objects, and hands that interact with them must be located strictly within this central area, colored in [COLOR]. NOTHING should go beyond the white stripes or beyond the table. The background of the floor is made in [THE COLOR OF THE FLOOR] to create a visual separation. Professional studio lighting with clear shadows. 8k, clear focus.

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✨ عید کی تیاریاں شروع ہو جائیں تو گھر میں خوشیوں کا ماحول بن جاتا ہے۔
نئے کپڑے، چوڑیاں، مہندی، مٹھائیاں، گھر کی صفائی اور اپنے پیاروں کے لیے تحفے — یہی تو عید کی اصل رونق ہے۔ 💚🌙
عید صرف نئے لباس کا نام نہیں، بلکہ اپنے گھر والوں کے ساتھ وقت گزارنے، محبت بانٹنے اور خوشیاں تقسیم کرنے کا خوبصورت موقع ہے۔ 🕌✨
🌸 عید کی تیاریوں میں:
• گھر کی سجاوٹ
• شاپنگ
• مہندی لگانا
• سیویاں اور خاص کھانے
• بچوں کی عیدی
سب کچھ خوشیوں کو دوبالا کر دیتا ہے۔
“عید کی اصل خوبصورتی اپنوں کی مسکراہٹ میں ہوتی ہے۔” 💕

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