- 3
- 460
Mayank Lodhi
เข้าร่วมเมื่อ 2 ม.ค. 2017
Internshala Automation with Python | Apply to Hundreds of Internships in Minutes | #internshala_bot
GitHub Repo: github.com/Eviltr0N/internshala-bot
PyPi: pypi.org/project/internshala-bot/
------------
*Update*: Now you can apply for jobs also.
Package last updated: 16-9-2024
------------
Follow all the installation steps carefully.
Let me know if you encounter any error.
Previous Project -
Clone Yourself Using WhatsApp Chats - th-cam.com/video/a2_ZvzE55cA/w-d-xo.html
=== Features ===
1. You can apply to a single internship/job in less than 1 minute without touching your keyboard or mouse (or while scrolling Instagram).
You can theoretically apply to unlimited internships/jobs at once.
2. Automatic cover letter writing using ChatGPT and your personal resume, while targeting the internship's description and required skills.
3. It will solve assignments that are below the cover letter using ChatGPT, while keeping your resume in mind.
4. It will automatically add the required skills (mentioned in the internship/job description) to your Internshala resume.
5. It checks if the assignment is easy enough to be solved by ChatGPT. If it asks for any personal info, it skips that internship and saves the cover letter so you can easily apply manually.
6. Generates beautiful(like her) success/failed reports after applying to internships, so you can keep track of every application.
7. Detects fake internships/jobs and filters them out. It automatically filters internships if any employer hasn't hired a single candidate till now and is just posting fake internships/jobs. It checks for employers' hiring and posting stats and their active history on Internshala.
=== Time Stamps ===
0:00 Demo
1:00 Windows Installation
5:34 Linux Installation
10:00 Applying at Multiple internships
19:14 Reports
19:49 Manually applying at failed internships
20:54 Applying at Individual Internships
23:38 Moment of Truth
====================
--- Tags ---
#internshala #automation #internship #internshalabot #internshalaautomation #internshalatrick #internshalacoverletter #internship #internshalapython #automation #pythonautomation #github #internshalaproject #internshalaassignment #internshalachat #automationproject #pythonplaywright #playwright #PythonAutomation #Internshala #PythonBot #InternshipApplications #PythonProgramming #internshala_bot #bot #internshalatipsandtricks #internshalatrick #chatgpt #internshalachatgpt
PyPi: pypi.org/project/internshala-bot/
------------
*Update*: Now you can apply for jobs also.
Package last updated: 16-9-2024
------------
Follow all the installation steps carefully.
Let me know if you encounter any error.
Previous Project -
Clone Yourself Using WhatsApp Chats - th-cam.com/video/a2_ZvzE55cA/w-d-xo.html
=== Features ===
1. You can apply to a single internship/job in less than 1 minute without touching your keyboard or mouse (or while scrolling Instagram).
You can theoretically apply to unlimited internships/jobs at once.
2. Automatic cover letter writing using ChatGPT and your personal resume, while targeting the internship's description and required skills.
3. It will solve assignments that are below the cover letter using ChatGPT, while keeping your resume in mind.
4. It will automatically add the required skills (mentioned in the internship/job description) to your Internshala resume.
5. It checks if the assignment is easy enough to be solved by ChatGPT. If it asks for any personal info, it skips that internship and saves the cover letter so you can easily apply manually.
6. Generates beautiful(like her) success/failed reports after applying to internships, so you can keep track of every application.
7. Detects fake internships/jobs and filters them out. It automatically filters internships if any employer hasn't hired a single candidate till now and is just posting fake internships/jobs. It checks for employers' hiring and posting stats and their active history on Internshala.
=== Time Stamps ===
0:00 Demo
1:00 Windows Installation
5:34 Linux Installation
10:00 Applying at Multiple internships
19:14 Reports
19:49 Manually applying at failed internships
20:54 Applying at Individual Internships
23:38 Moment of Truth
====================
--- Tags ---
#internshala #automation #internship #internshalabot #internshalaautomation #internshalatrick #internshalacoverletter #internship #internshalapython #automation #pythonautomation #github #internshalaproject #internshalaassignment #internshalachat #automationproject #pythonplaywright #playwright #PythonAutomation #Internshala #PythonBot #InternshipApplications #PythonProgramming #internshala_bot #bot #internshalatipsandtricks #internshalatrick #chatgpt #internshalachatgpt
มุมมอง: 278
วีดีโอ
Create Your Own AI Clone Using WhatsApp Chat History | Fine Tuning Llama3
มุมมอง 108หลายเดือนก่อน
Create an AI clone of yourself from your WhatsApp Chat History, by fine tuning Llama3. _-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_- You Can Upload Multiple Chat's at Once... Follow the Guide Carefully on Google Colab Notebook. ⚠️ _-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_- GitHub repository - github.com/Eviltr0N/Make-AI-Clone-of-Yourself Colab Notebook - colab.research.google.com/drive/1OGkiAZsYfShY0o8ZphCUuX...
Atal Innovation Marathon 2018
มุมมอง 835 ปีที่แล้ว
SSM pagara's students created a wonderful project on smart mobility.
Hey man, I have a content creator agency and a client has asked me to clone him. Do you recommend fine tuning first with interviews, podcasts, videos, etc. and then with WhatsApp chats? Lastly use a rag. Give me your email and we can work together if you want.
If you fine tune model on podcasts and interviews then presumably it will generate longer responses of questions, and if you fine tune on WhatsApp chats the responses will much shorter than the previous one due to the length of WhatsApp messages. Rag is good for contextual awareness but it doesn't copy one's personal talking/messaging style. Fine-tuning is best for this. Well I am not an expert but if u want contact me at electron0024@gmail.com
& don't use RAG on fine tuned model, it won't give you expected results.
@@ml_024 That's why I said about doing fine tuning a little more general with audio content and then with chats, but I don't know if it would work. Can you think of a way for him to have the same speaking style but respond briefly as if he were chatting? It also occurred to me to modify the interview data set with an AI so that it generated synthetic data (question and answer pairs) but with the desired tone.
You have to experiment with every possible option to make it work. First try with small dataset of interview questions then fine tune a model on it then check how it responds. After that generate synthetic data out of same interview questions probably small question-answer pairs then fine tune another model check if it up to standards or not. Then fine tune previously fine tuned model again on WhatsApp chats and see if it works.
You can try another approach...Fine-tune two models ...First on interview questions with full context, second one with WhatsApp chats... Then use third Instruct model such as Llama3 Instruct (or chatgpt api) to form a some sort of agent pipeline. When someone asks a question first give it to first model take its long response then take response of second model and give these two responses to third general model using a custom system prompt that will generate final response. Obviously this will waste time and GPU resources but it will give more accurate responses
Amazing!