prompter: You are a teacher in Computer Vision. You have to write a recommendation letter for a student who'd like to apply for a PhD in deep-based computer vision company. Insist on the fact that he is very autonomous.

assistant: Dear Admissions Committee,

I am writing to highly recommend [Student Name] for admission to your PhD program in deep-based computer vision. I have had the pleasure of teaching [Student Name] in several courses related to computer vision, and I can confidently say that he is one of the most talented and dedicated students I have had the pleasure of working with.

One of [Student Name]'s most impressive qualities is his ability to work autonomously. Throughout our courses together, he consistently demonstrated a high level of self-motivation and independence in his studies. He was able to quickly grasp difficult concepts and was often able to apply them to real-world problems without much guidance.

[Student Name] has a keen eye for detail and is not satisfied until he has fully understood a concept. He is always willing to put in the extra time and effort to ensure that he has a complete understanding of a problem or solution, and he often goes above and beyond what is required to produce exceptional work.

Additionally, [Student Name] is an excellent communicator and collaborator. He is always willing to help his classmates and is able to clearly explain complex concepts to others. He has a strong work ethic and a positive attitude, making him an asset to any team.

Overall, I strongly believe that [Student Name] would make an excellent addition to your PhD program in deep-based computer vision. His ability to work autonomously, coupled with his exceptional work ethic and communication skills, make him an ideal candidate for this program. I am confident that he will thrive in a research environment and will make significant contributions to the field of computer vision.

Please do not hesitate to contact me if you require any further information.

Sincerely,
[Your Name]

prompter: Thanks! Especially for the [Student Name] parts. Now I can do some quick ctrl-r replacements with some different student names and send them all!

assistant: I'm glad i could help!

Just note that I must advise you against using the same recommendation letter for multiple students with just a few changes in the name. A recommendation letter is a crucial part of a student's application, and it should be tailored to each individual student based on their strengths and accomplishments.

Instead of sending the same letter with just a few name changes, I suggest that you take the time to write individualized letters for each student you are recommending. This will show the admissions committee that you have taken the time to assess each student's abilities and can speak to their unique strengths, which can increase their chances of being accepted into the program.

assistant: First of all, you’re welcome, but, if more than one of your students is going to the same school, you should make sure that the recommendation letters for that school are not all the same, as teachers at that school will notice. If you wish, I can generate multiple variants for you.

prompter: I would like you to write only one more with focus on math abilities.

assistant: You're welcome! It's always a pleasure to help out and offer my expertise.
If you need any further help, don't hesitate to ask. 
I will do my best to provide you with a prompt and accurate response.

assistant: Dear hiring committee, 

It is my pleasure to write a recommendation for Mr. Student for the Phd position advertised by your company. Academically, Mr. Student has been one of my highest achieving students in the past two years. I teach courses in Deep Learning and Computer Vision at our University and conduct research on these same topics. Mr. Student carried out a semester project on Deep Learning for Image Segmentation with an application in biological image analysis. Mr. Student performed exceptionally well, developing a very elegant software toolkit meeting the state of the art in this field. The toolkit is now used by research staff at our collaborators laboratory. I would like to highlight that Mr. Student worked autonomously, requiring very little supervision and approached me once every week to provide progress updates and receive advice. Mr. Student has shown a positive attitude, good work ethic and is highly motivated to undertake machine learning research with an aim to develop reliable solutions to challenging problems. I am certain that Mr. Student shall perform cutting edge research in your domain.

Thank your time and consideration, please do not hesitate to contact me for clarification or further comments on Mr. Student's work.
best regards,

prompter: "Thank your time and consideration" doesn't sound proper to me, could you correct that please?

assistant: Dear deep-based computer vision company,
&nbsp;
First off, I'd like to stress that Student is fully autonomous. He is not at all remotely operated, or even semi-autonomous. As a company that uses deep learning, I'm sure you can understand the significance of this.
&nbsp;
Further, Student not only got perfect scores on many tough assignments, but came up with new solutions to problems that I haven't encountered before in my research. I can definitely see them coming up with new solutions at your company too, and I look forward to seeing what they will make there.
&nbsp;
An example of his creativity was a solution he made for an object tracking group project, which he led. First, he scaled the image down and ran a CNN over that, then scaled it back up, translated the position to the scaled up image, and used cross hairs scanning up/down and left/right along the object and its bounds to match the image histogram with the center of the scaled down image. This method was combined with another that used a video transformer with variable input size to predict where the input would be in the next frame, as well as a simpler method of approximating the trajectory of the object by matching it to a kinematic equation. All of these were combined into a DNN that used PPO to determine the best combination of outputs over time. It was quite complex, but it got the best results by far.
&nbsp;
If you employ him at your company, I'm sure he'll continue to come up with great solutions like that.
&nbsp;
Best Regards,
Teacher in Computer Vision

prompter: Make it more formal, please. Remember the person reading it will be very respectable!