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Un CV peut changer une vie. Et si l’intelligence artificielle aidait vraiment ? GPT 5 et GPT-5 surprennent. ChatGPT 5 et chatgpt5 vont plus loin. Lettre de motivation… mais différente. Une lettre de motivation exemple, mais créée avec IA. Un chatgpt tutorial dévoile un secret. Un CV parfait existe-t-il ? Comment trouver une alternance plus vite ? Intelligence artificielle CV révèle des astuces. IA emploi ouvre des portes. Rédiger CV rapide devient possible. Lettre motivation IA intrigue et impressionne.
🔗 Rejoins la communauté IA & Business
🌐 https://parlonsia.teachizy.fr
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✍ BLog: / flma1349
💃 / parlonsia
---------------------------
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Coder agent IA: https://bit.ly/Coder_agentiA
Short AI: http://bit.ly/4lzE782
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⌚ Timeline Vidéo
00: Le JOB de vos rêves avec GPT 5, GPT-5 et ChatGPT 5 (chatgpt5 tutorial).
2:05: Pourquoi un CV et une lettre de motivation sont mal rédigés (et comment l’IA emploi en profite).
4:20: La méthode simple que tout le monde utilise pour rédiger CV rapide (mais qui détruit le CV parfait).
6:15: L’erreur fatale de l’intelligence artificielle CV : inventer votre expérience.
8:00: Le secret : demander à l’IA ce qu’attend un recruteur pour un CV parfait et une lettre motivation IA.
10:30: Étape 1 : faire le mapping de vos compétences et trouver une alternance avec GPT-5.
12:15: Étape 2 : le template ultime pour votre lettre de motivation exemple.
14:40: La puissance du raisonnement GPT 5 et GPT-5 pour booster votre CV.
17:00: Étape 3 : l’itération dans ChatGPT 5 pour un résultat parfait (lettre de motivation + CV).
19:20: Le processus complet résumé : IA emploi, CV parfait, lettre motivation IA et alternance.0:00 : Le JOB de vos rêves avec ChatGPT-5 (Tuto Complet).
2:05 : Pourquoi les offres d'emploi sont MAL rédigées (Et comment en profiter).
4:20 : La méthode SIMPLE (mais NULLE) que tout le monde utilise.
6:15 : L'ERREUR fatale de ChatGPT : il invente votre expérience.
8:00 : Le SECRET : demander à l'IA ce qu'attend un recruteur.
10:30 : Étape 1 : Faire le "mapping" de vos compétences avec l'offre.
12:15 : Étape 2 : Le template ULTIME pour votre lettre de motivation.
14:40 : La puissance du raisonnement GPT-5 (139 de QI).
17:00 : Étape 3 : L'itération dans GPT 5 pour un résultat PARFAIT.
19:20 : Le processus complet résumé (À ne pas oublier).
Un CV peut changer une vie. Et si l’intelligence artificielle aidait vraiment ? GPT 5 et GPT-5 surprennent. ChatGPT 5 et chatgpt5 vont plus loin. Lettre de motivation… mais différente. Une lettre de motivation exemple, mais créée avec IA. Un chatgpt tutorial dévoile un secret. Un CV parfait existe-t-il ? Comment trouver une alternance plus vite ? Intelligence artificielle CV révèle des astuces. IA emploi ouvre des portes. Rédiger CV rapide devient possible. Lettre motivation IA intrigue et impressionne.
🔗 Rejoins la communauté IA & Business
🌐 https://parlonsia.teachizy.fr
📺 / @iaexpliquee.x
📺 https://dailymotion.com/formation.ai87
📘 Facebook : https://bit.ly/4kabhuA
🐦 Twitter / X : https://x.com/ParlonsIAx
📩 Contact : formation.ai87@gmail.com
🎙️Podcast – https://spoti.fi/4dqZ3uO
✍ BLog: / flma1349
💃 / parlonsia
---------------------------
IA a tester :
Coder agent IA: https://bit.ly/Coder_agentiA
Short AI: http://bit.ly/4lzE782
SEO agent IA : https://urlr.me/P8AS5N code rection 25% : PARLONSIA25
⌚ Timeline Vidéo
00: Le JOB de vos rêves avec GPT 5, GPT-5 et ChatGPT 5 (chatgpt5 tutorial).
2:05: Pourquoi un CV et une lettre de motivation sont mal rédigés (et comment l’IA emploi en profite).
4:20: La méthode simple que tout le monde utilise pour rédiger CV rapide (mais qui détruit le CV parfait).
6:15: L’erreur fatale de l’intelligence artificielle CV : inventer votre expérience.
8:00: Le secret : demander à l’IA ce qu’attend un recruteur pour un CV parfait et une lettre motivation IA.
10:30: Étape 1 : faire le mapping de vos compétences et trouver une alternance avec GPT-5.
12:15: Étape 2 : le template ultime pour votre lettre de motivation exemple.
14:40: La puissance du raisonnement GPT 5 et GPT-5 pour booster votre CV.
17:00: Étape 3 : l’itération dans ChatGPT 5 pour un résultat parfait (lettre de motivation + CV).
19:20: Le processus complet résumé : IA emploi, CV parfait, lettre motivation IA et alternance.0:00 : Le JOB de vos rêves avec ChatGPT-5 (Tuto Complet).
2:05 : Pourquoi les offres d'emploi sont MAL rédigées (Et comment en profiter).
4:20 : La méthode SIMPLE (mais NULLE) que tout le monde utilise.
6:15 : L'ERREUR fatale de ChatGPT : il invente votre expérience.
8:00 : Le SECRET : demander à l'IA ce qu'attend un recruteur.
10:30 : Étape 1 : Faire le "mapping" de vos compétences avec l'offre.
12:15 : Étape 2 : Le template ULTIME pour votre lettre de motivation.
14:40 : La puissance du raisonnement GPT-5 (139 de QI).
17:00 : Étape 3 : L'itération dans GPT 5 pour un résultat PARFAIT.
19:20 : Le processus complet résumé (À ne pas oublier).
Catégorie
🤖
TechnologieTranscription
00:00Hello, everyone, what if today we found your dream job using ChatGPT5?
00:06In this tutorial, we will see how to use ChatGPT5 in the world of work, applied to job search.
00:13We always see tutorials that are absolutely crazy, extravagant, how to code a complete application, a few clicks with ChatGPT,
00:21but very often all this is very far from reality.
00:23Artificial intelligence today is above all about how you will be able to use it in your daily life, integrate it into your practice.
00:32And what we are going to see together is how we are going to integrate it now into the practice of the world of work.
00:36So, are you ready to find your dream job? Let's see together.
00:41First appointment, we find ourselves on the Pôle emploi interface, France Travail, like any search.
00:46And what we're going to be looking for are job offers.
00:48One sector that is in high demand today is the catering sector.
00:52And what I suggest is that we look at different ways we interact with AI.
00:58From simpler things for beginners to more advanced ones, where you will understand how to interact and personalize ChatGPT in a professional way.
01:07What interests us when we receive a job offer announcement is to understand it.
01:12First step, very often, you have a descriptive part of the ad.
01:16We are talking about a large hotel, a large group founded in such and such a year.
01:20And then they tell us who they are looking for.
01:23So, this part of understanding the announcement is very important.
01:27Not just for you, but also for artificial intelligence.
01:31ChatGPT 5, you'll have to guide it.
01:34And I'm going to show you what happens if you don't guide it and understand what makes the difference.
01:38So we have a demand from job seekers, where we are told that we must know how to work with fresh produce, guarantee regularity, ensure good organization, and be passionate about the experience.
01:49In short, a whole bunch of generalities.
01:51I'm going to be very honest with you, job offers are very often not in order.
01:56And this announcement seems to me to be perhaps part of it.
01:58So what should a real ad contain?
02:01And that could also be a short message sent to the HR director.
02:04When writing human resources job advertisements, make sure you include everything necessary so that those who are interested in applying can understand what you really expect.
02:15We have a set of platitudes, so you're going to ask me, how do we respond?
02:19That's the whole difficulty.
02:20To already understand what a job offer should contain, and this will allow us to check what it contains,
02:26we see that, normally, it must contain the identification of the employer, the characteristics of the position.
02:32Are we happy with a contract, a fixed-term contract, a permanent contract, with the working hours, the start date?
02:39Well, in the end, we don't have this information.
02:41Neither is the salary, the range, it has been mandatory since 2022, according to article 20-21, 17-74,
02:49bonuses, benefits, restaurant vouchers, mutual insurance and other items.
02:52In short, profile qualification, logical mention of conformity.
02:55So you realize that there are quite a few things missing from the announcement.
02:58This is a little message that will be important to understand, because indeed,
03:02Many recruiters do not find it, but because their advertisements are not properly written.
03:07So, as job seekers, how can we optimize our CV and the cover letter we provide?
03:15I'm going to show you some methods, and we'll start with the simplest one.
03:18In this case, I will tell him that my name is Philippe Dubois, that I live in Bordeaux,
03:22but that I will start in Brittany, and that I am available within a month,
03:26I simply tell him, write me a cover letter for this job offer,
03:30and we will give him the job offer.
03:31To let him know where the job offer information is located,
03:34we'll give it a delimiter, you can use whatever you want,
03:37quotation marks, dashes, everything works.
03:40For example, if now I want to put draws, I can put draws.
03:43The AI will have understood that this is the job offer block.
03:45We will copy the entire announcement,
03:47and we can even give him the reference number,
03:50and we'll let the magic happen.
03:53We will therefore close the structure,
03:55we will be on an instant system,
03:56and we'll see what happens.
03:57So, of course, most people would tell you,
04:00here is your cover letter,
04:02and I'll tell you, do you really think
04:04that it takes skills to do what I just did?
04:06None are needed.
04:08Everyone is able to write their name, first name,
04:10to mark, write me a cover letter,
04:12and have a letter.
04:13The question is, how are you going to do it?
04:15to stand out in a competitive job market,
04:18to add a real touch to your CV,
04:22and in your cover letter.
04:24This is what we will see during the tutorial.
04:26So, we have a letter, attention,
04:27which is purely well written.
04:29Given what we had at the beginning,
04:30which is not much,
04:32we had no idea,
04:32we didn't know how to approach the subject,
04:35It's pretty well written.
04:36Currently based in Bordeaux,
04:37I plan to settle in Brittany,
04:39I am available within a month
04:40to join your brigade,
04:42with several years of experience in the kitchen.
04:43The problem is that we absolutely did not tell the AI
04:46that we had experience in the kitchen.
04:48AI has taken the lead
04:49by inventing things
04:51which shows that we have a solid mastery
04:52hot and cold stations
04:53and a training setup.
04:55And that's what happens most often with AI.
04:57She invents.
04:58She invents not because,
05:00he was told,
05:00but because it seeks to fill the gaps
05:03that she doesn't have as information.
05:04So how are we going to solve this problem?
05:06To have something personalized
05:08and which makes a difference on the market,
05:10Now we need to understand one essential thing.
05:13What do employers expect?
05:15when you write to them
05:17and you will answer them?
05:18For this, we will rely on
05:19on the millions of documents
05:20that ChatGPT studied
05:23asking him
05:24what information is integrated
05:26in job offer responses.
05:27So, we can be more precise.
05:29We could even have asked for catering
05:31or the specific domain you want.
05:34This is an element that must be integrated.
05:36to allow for more precision.
05:37But here, let me be sufficiently generous.
05:40to be able to bring you this information
05:42and make you understand
05:43how to proceed step by step.
05:46By asking the AI for this information,
05:48we will get to an answer.
05:51And in this specific case,
05:52you will see two things.
05:53The thinking model will be preferable.
05:56The structure will be much more detailed and clear.
05:58The instant response model,
06:01it's not too bad,
06:02it's well structured,
06:04but may lack a little finesse.
06:06In addressing the broad outlines,
06:08we see one thing.
06:09First, your contact details,
06:11call formula,
06:13application service,
06:14introduction hook.
06:15And this is where we start to get to the heart of the matter.
06:18So, I'll still prefer the version
06:19where we have the reasoning system.
06:21The hook,
06:22she must express an interest in the position
06:25and at the same time,
06:26we respond precisely to this offer
06:29with a certain tone.
06:31And what to bring immediately,
06:33it's your value.
06:34In any case, that's how TchatGPT works.
06:36modeled the interactions,
06:38those of job offers.
06:40Which means that you have to immediately give the idea
06:42that you are able to bring
06:44added value to the company
06:46in the first line.
06:48This phase,
06:48This is the hooking phase.
06:50A brief presentation
06:51where we will say who you are,
06:53your current position,
06:54your number of years of experience
06:56and immediately engage your motivation.
06:59We will keep an authentic tone,
07:01enthusiastic and above all credible.
07:03Avoid generalities and excesses.
07:06This is where we will move into skills.
07:08and that's where we're going to have a mapping
07:10on your requirement
07:11and your experience,
07:13social proof of your success
07:16and what you bring.
07:17We must therefore inspire this form of confidence.
07:20So we have to give experience
07:22to create and orient the model.
07:24To do this,
07:25I'll show you how we're going to do it
07:26and how we will bring this information
07:28inside the AI
07:29to optimize and personalize
07:32your job offer.
07:33So, for this step,
07:35I would have a slight preference.
07:36It is that of identifying
07:37the required skills
07:40for the position in question.
07:42And we will choose a mini thinking
07:43to allow attention blocks
07:45to focus on certain sectors.
07:47We leave the reflection in place.
07:49We can also look at
07:50how the model works
07:51and how does it resonate
07:52and how does it identify
07:54the different skill blocks.
07:55Which brings us to understand
07:57that the employer is looking for in you
08:00technical mastery,
08:01work with fresh products,
08:02of regularity,
08:03of the organization,
08:04from the reception,
08:05strict respect,
08:05teamwork.
08:06So what to bring
08:08in this document,
08:09once we understand the expectation,
08:11is to answer it.
08:12And AI gives you ideas too.
08:14And you can ask him that.
08:16Suggest some suggestions for me to put in.
08:19Technical skills,
08:20products, rigor,
08:21hygiene, organization.
08:23Always check to be credible
08:24and above all to be in agreement
08:26with what you do.
08:27If you see that something
08:28goes to excess,
08:29you open Canva,
08:31we'll do it later,
08:32and you make changes
08:33because what we want,
08:35it is being above all
08:36self-made and personalized.
08:38Now that we have kept
08:39these key points,
08:41what we will be able to ask
08:42to AI,
08:43is to write the application letter.
08:46We don't forget,
08:47We haven't given him our CV yet.
08:49And that is a crucial point.
08:50But what is important,
08:51that's what we started
08:52to validate all the previous points
08:54and we will begin
08:56to structure something
08:58answering point by point
09:00to the expectations of the job offer.
09:02What we will say to the model,
09:03is to write a letter of application
09:05using only
09:06connecting elements,
09:07transitional
09:08and in paragraph form.
09:10The text must flow smoothly.
09:12and pleasant to read.
09:13Brief,
09:14whether it is like a person
09:15who wrote it.
09:17We submit the request to the model,
09:18we remain on a thinking model
09:19and now we will work
09:21from this draft.
09:23NOW,
09:23we get something
09:24which is quite interesting
09:25which tells us
09:26that we are candidates for the position
09:28of chef de partie at the Grand Hotel.
09:30I am sending you the application
09:31with real interest.
09:32It's pretty well written.
09:33and she indicates
09:34a certain number
09:35of experience points.
09:36And it's there
09:36that we will make a difference.
09:38SO,
09:38if you wanted,
09:39at this stage,
09:40start editing,
09:42to have something,
09:43For example,
09:43a little more elegant,
09:46formal,
09:46you can absolutely
09:48either modify your text
09:50by going to that part
09:52or indicating
09:53uses a more elegant style
09:54or else
09:55you work right after
09:56ask him
09:57what we call
09:57an iteration
09:58by applying
10:00a reformat
10:01by indicating
10:02the form,
10:02the tone possibly
10:03and you can tell him
10:05also
10:05to use Canmore
10:06or open Canva
10:08which will allow you
10:09to open this draft
10:10directly
10:11in an interface.
10:12Automatically,
10:13the system
10:14will open Canva.
10:15you will be able to
10:16apply the style,
10:17reread the context
10:19and make the modification.
10:20But now,
10:21that's not all.
10:22We will really integrate
10:24skills
10:25and your experience
10:26from your CV.
10:28What we saw previously,
10:29it's just a job offer
10:31is in fact
10:32almost always
10:33modeled
10:34on the list
10:35that we have here.
10:37A greeting formula,
10:39a hook
10:40which must be excellent
10:41and immediately
10:42the brief presentation
10:43to be able to put oneself forward,
10:44your motivation,
10:45key skills.
10:47And it is now
10:48what we call
10:48the template
10:49that we will use
10:50to answer
10:51to the job offer.
10:53So I will use
10:54the first part
10:55of the structure
10:55to indicate
10:56to ChatGPT
10:57in which direction
10:59we will begin
11:00to write.
11:00And this time,
11:02I will take care
11:03to mark
11:03the end of the document,
11:06always with separators
11:07as we did previously.
11:08So you see
11:09that we have blocks
11:09of separation
11:10where we will give it to him
11:11our CV,
11:12our experience.
11:13This time,
11:14we will switch instead
11:15on a model
11:16advanced reasoning
11:18to leave the model
11:19understand the context
11:21how our experience
11:23can be connected
11:24directly
11:24to the point
11:25request
11:26by the employer
11:27and so
11:28to allow
11:29this rapprochement.
11:30So that,
11:30it's a point
11:30very important
11:31to understand.
11:32It is today
11:33with GPT-5
11:35on models
11:36of reasoning
11:36intelligent type.
11:38They are capable
11:39to do what is called
11:40relationships
11:41and correlation.
11:42That is to say, he will
11:42begin to understand
11:43that such experience
11:45in such a situation
11:46will present an advantage
11:47to answer
11:48to such a problem.
11:49This is the new thing
11:50new generations
11:52such as
11:52Gemini 2.5
11:53or Grock 4.
11:55They are capable
11:55to answer
11:56to this guy
11:57of problematic.
11:58A result
11:58who will give you
11:59a lot
12:00of information
12:02on the capacities
12:03models,
12:04it's the
12:04IQ Test Result
12:06based on
12:07what we call
12:08the MENSA score.
12:09These are tests
12:09of IQ
12:10which are carried out
12:11on models
12:11of LLM.
12:12We test
12:13their capacity
12:14real, raw
12:15to reason,
12:16to think about.
12:17What changes
12:18completely
12:19of what we were doing
12:19until now,
12:20they were simple
12:21text compilers.
12:22But today,
12:23we are able
12:24to see that
12:25the models,
12:26when they are trained
12:27on known data,
12:29have a system
12:30of reasoning
12:31which allows
12:32to obtain
12:32scores
12:33neighboring
12:34140 IQ.
12:35SO,
12:36the latest version
12:36from Gmini Pro
12:37Today
12:38goes up to
12:39136 IQ
12:41and OpenAI
12:42GPT5 Pro
12:43we go up
12:44at 139.
12:45And this evolution
12:46it is constant.
12:48There is still
12:49a few days,
12:49we were at 128,
12:51we won again
12:51points of reasoning.
12:53It's a system
12:54in perpetual
12:54learning and evolution
12:55and when we put
12:57offline,
12:58that's to say
12:58tests
12:59which are not known
13:00of any of the models,
13:02we see that the models
13:03are around 118.
13:05123 in IQ.
13:07Which is very good
13:08in terms of results.
13:09Which means
13:09that the groups
13:11of heads
13:11who are present here
13:12have a capacity
13:14of reasoning
13:15and so
13:15that's it
13:16that we are in the process
13:17to exploit.
13:17They will bring closer
13:18in our place
13:19to do
13:20the best choices
13:21to answer
13:22to the problems.
13:23We will be able to
13:24so unload
13:24a part
13:25that we would have done
13:25which would have been long
13:26and tedious
13:27to identify
13:28how to answer
13:29to every problem
13:30raised by the employer
13:31and now
13:32we have the mail.
13:34The reflection
13:34we can follow her.
13:35Here is
13:36the parties
13:37that we are going to change.
13:39For example
13:39he identified
13:40the elements
13:41remain credible,
13:43highlight
13:43passion,
13:44gastronomy,
13:44compliance with standards,
13:46training courses
13:46internal to the internship.
13:47The letter must
13:47essentially emphasize
13:49the transition
13:50towards the kitchen,
13:51put the reference
13:52of the announcement
13:53and there
13:54we have
13:54the result
13:55terminal.
13:56I am sending you
13:57by application
13:57to the position of leader
13:58of part
13:58at the grand hotel
13:59of short hesitates.
14:00First of all
14:00I would like to clarify
14:01my positioning
14:01strong for more than 10 years.
14:03So me
14:04I find that there
14:04first of all
14:05I wish
14:05I find that
14:06a little hard.
14:07If your project
14:07particularly attracts me
14:08it is that he rests
14:09on identity
14:09I find that
14:10a little bit hard.
14:11The idea itself
14:11is very well structured
14:13and has taken over perfectly
14:14the elements
14:15from experience
14:16that was given to him
14:17which was a CV
14:18that I provided to him.
14:19SO
14:19what I offer you
14:20NOW
14:21it is to rework
14:22to render the text
14:23maybe softer
14:24more fluid
14:24and I will show you
14:25how we are going to do it
14:26with a method
14:27very fast and efficient.
14:28For that
14:29we will switch
14:30on a system
14:31mini-thinking type
14:32it should largely
14:34to do the trick
14:34and we will tell him
14:35you have the possibility
14:36to say
14:36opens Canmore
14:37use Canmore
14:38or you switch
14:39simply
14:39in Canva
14:40you give him the text
14:42and you will see
14:43that we are going to switch
14:43on the work interface.
14:44From now on
14:45I will show you
14:46a method
14:47that works
14:47quite good
14:49and which will allow
14:50to give us
14:51very good advice.
14:52This is the proofreading
14:53automated
14:53to suggest
14:54the changes.
14:55I find it
14:55quite relevant
14:56so it's not 100%
14:57but you will see
14:58than by clicking once
14:59you activate the function
15:00by clicking a second time
15:02you launch the model.
15:04What we do
15:04that's what I prefer
15:05the thinking mini
15:05who will take the time
15:06to break down the blocks
15:07we could have done it
15:08with a model
15:09immediate flash
15:10but in general
15:11the immediate flash
15:12is very good at writing
15:14but it's more complex
15:15when there are different blocks
15:16to decompose
15:17at the structural level.
15:18So you see
15:18that the model
15:19already begins to identify
15:20separate blocks
15:21where he will do
15:22suggestions
15:23of reformulation.
15:25I will find
15:25a little bit of shape
15:26a little heavy
15:27personally
15:28and so there would be
15:305 changes to make
15:31inside the text.
15:32Suggestion
15:33tighten the grip
15:34to gain impact
15:35and I agree with him
15:36I address you
15:37my application
15:37I find it a little heavy
15:38what we are going to do
15:39it's simply
15:40we can pass
15:41on an instant system
15:42or automatic
15:43if we let the model choose
15:45we apply
15:46we'll see what happens
15:47I address you
15:47my application
15:48to the head of the party
15:49it's a bit formal
15:50we'll see what it can give
15:51but be careful
15:52the structure
15:53she is perfect
15:54we answer
15:54for PowerPoint
15:55and admitting
15:56that application
15:57to the head of the party
15:59number very interested
16:00by the project
16:01I find that a little
16:01too direct
16:02so I had put
16:03in automatic mode
16:04on the spot
16:04I would tend to say to myself
16:05Well, maybe I'll stay.
16:06in thinking
16:07Well, what are we going to do?
16:08look
16:08we go back
16:09we click on the button
16:10and in the end
16:11I will stay with
16:12the first part
16:13what are we going to do
16:14on the second
16:14the sentence is a bit long
16:16remember to explicitly mention
16:18your current position
16:19ok
16:19we will try
16:20so what we do
16:22it is only by clicking on the button
16:23top right
16:23you see for example
16:24the changes
16:25who have been operated on
16:26and with the button on the right
16:27you mark previous version
16:29and you go back to the previous version
16:30restore version
16:32and we go back to the version
16:33that we have here
16:33so we move on now
16:35in block number 2
16:36and we will see the proposals
16:37that we will be given the model
16:38we will go to the thinking mini
16:40I find that the flash
16:41was not up to par
16:42on this one
16:43we'll see a little bit
16:43the reformulation
16:44which will be proposed
16:45but in short
16:46you still understood the idea
16:47it's only now
16:48you have an assistant
16:49which will allow you
16:50to rephrase the sentences
16:52you look at the changes
16:53but I find that the sentence
16:55from the start
16:55I would like to clarify my position
16:57I still find it a bit heavy
16:58we come back to this idea
16:59and so what are we going to do
17:00we're going to do something
17:01we will personalize instead
17:02the hook
17:03by restoring the version
17:05we will personalize
17:06this time the hook
17:06This is an opportunity to show that
17:08not only do we have a job
17:10which can be automated
17:11as we have seen
17:12but we can actually
17:13give directions
17:14and that's the point
17:16to complete
17:17man
17:17machine
17:18it is to give an orientation
17:19in the way of working
17:20personally
17:21I would have even left
17:23on something
17:24more direct
17:26by indicating to him
17:27simply
17:27an orientation
17:29saying
17:3010 years strong
17:30of experience in establishment
17:31I would even have
17:32dared
17:33take rather
17:34this straight line
17:35in the startup
17:36and so you have
17:37the possibility
17:38to then modify
17:39with GPT
17:40once he then has
17:41brought his touch
17:42or I was going to ask him
17:43more fluidity
17:43I developed a practice
17:45demanding work
17:45in brigade
17:46with great rigor
17:47service outfits
17:48I approach each service
17:49with the same requirement
17:51Short
17:51I think that
17:53these are points
17:53quite interesting
17:54who make a good impression
17:54you understood
17:55how to do it
17:56we will therefore apply
17:57this strategy
17:57block by block
17:58look at the suggestions
17:59of AI
18:00to begin with
18:01because it's going to be
18:01the fastest system
18:02the most assisted
18:04if in the case
18:05it didn't suit
18:06what we do
18:07that's what we're going to touch
18:08on a specific block
18:09with the model
18:11on which we will give him
18:12an approach
18:13if we have here
18:14a hook
18:15which suits us
18:16your material project
18:17by its clear identity
18:18promote products
18:19and offer sincere hospitality
18:21this approach
18:22corresponds to my practice
18:23it's rather
18:24to the seducer
18:25and it's well written
18:26here is a method
18:27which will allow you
18:28so to personalize
18:29the hook
18:29and the way
18:30to interact
18:31with your documents
18:32and CVs
18:33we will do
18:34a summary
18:35of the process
18:36first element
18:37ask
18:38in the document
18:39what are
18:40the important elements
18:41that must be brought
18:42in a document
18:43job search type
18:44and you have
18:45the structure
18:46use the structure
18:47even
18:48for the template
18:50from the editorial staff
18:51to identify
18:52to the model
18:53skills
18:54necessary
18:55which are requested
18:56in the job offer
18:57to allow
18:58to the model
18:59to do
19:00the link
19:01between what you are going to
19:02give him
19:02your CV
19:03and demand
19:04of the position
19:05for him to exploit
19:06at best
19:06the change
19:08of model
19:08what we are going to do
19:09and make him
19:09the editorial staff
19:10of the letter
19:11in the form
19:12of paragraph
19:13uniquely
19:13using
19:14elements
19:15connecting
19:16and transition
19:16between paragraphs
19:17and then
19:18we will be able to do
19:19of iteration
19:20that's to say
19:21that we will be able to do
19:21of the small modification
19:23while working
19:24on specific points
19:25last step
19:26trust yourself
19:27advice
19:28GPT cat
19:29and if these tips
19:30you find them
19:31relevant
19:32you validate them
19:33and otherwise
19:33you use
19:34the wheels
19:35from previous version
19:36and modification
19:37to see what it brings
19:39and guide you the model
19:40to be able to always have
19:42the best version
19:44I hope this tutorial
19:45you liked it
19:45don't hesitate
19:46to share it
19:47to subscribe
19:48and above all
19:48learn to use
19:50artificial intelligence
19:51you have for that
19:52all training courses
19:53that's part of it
19:54training courses
19:55that we will see
19:55in the best
19:56of AI
19:57use concretely
19:58artificial intelligence
20:00in everyday life
20:01using
20:02strategies
20:03real strategies
20:04that you can use
20:05reliably
20:06who will carry you
20:07to improve
20:08your process
20:09accelerate
20:10the way
20:11which you are going to
20:11to work
20:12answer
20:13learn
20:14all that
20:14with the best practice
20:16on artificial intelligence
20:17real strategies
20:19real strategies
20:20real strategies
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