3 736
订阅者
无数据24 小时
+17 天
-1730 天
数据加载中...
吸引订阅者
十月 '24
十月 '24
+12
在0个频道中
九月 '24
+14
在0个频道中
Get PRO
八月 '24
+20
在0个频道中
Get PRO
七月 '24
+62
在0个频道中
Get PRO
六月 '24
+58
在0个频道中
Get PRO
五月 '24
+64
在0个频道中
Get PRO
四月 '24
+72
在0个频道中
Get PRO
三月 '24
+103
在0个频道中
Get PRO
二月 '24
+98
在0个频道中
Get PRO
一月 '24
+163
在0个频道中
Get PRO
十二月 '23
+97
在0个频道中
Get PRO
十一月 '23
+38
在0个频道中
Get PRO
十月 '23
+67
在0个频道中
Get PRO
九月 '23
+47
在0个频道中
Get PRO
八月 '23
+46
在0个频道中
Get PRO
七月 '23
+57
在0个频道中
Get PRO
六月 '23
+51
在0个频道中
Get PRO
五月 '23
+144
在0个频道中
Get PRO
四月 '23
+21
在0个频道中
Get PRO
三月 '23
+31
在0个频道中
Get PRO
二月 '23
+70
在0个频道中
Get PRO
一月 '23
+42
在0个频道中
Get PRO
十二月 '22
+36
在0个频道中
Get PRO
十一月 '22
+92
在0个频道中
Get PRO
十月 '22
+59
在0个频道中
Get PRO
九月 '22
+57
在0个频道中
Get PRO
八月 '22
+63
在0个频道中
Get PRO
七月 '22
+63
在0个频道中
Get PRO
六月 '22
+49
在0个频道中
Get PRO
五月 '22
+71
在0个频道中
Get PRO
四月 '22
+57
在0个频道中
Get PRO
三月 '22
+218
在0个频道中
Get PRO
二月 '22
+70
在0个频道中
Get PRO
一月 '22
+103
在0个频道中
Get PRO
十二月 '21
+123
在0个频道中
Get PRO
十一月 '21
+143
在0个频道中
Get PRO
十月 '21
+317
在0个频道中
Get PRO
九月 '21
+357
在0个频道中
Get PRO
八月 '21
+199
在0个频道中
Get PRO
七月 '21
+311
在0个频道中
Get PRO
六月 '21
+610
在0个频道中
Get PRO
五月 '21
+891
在0个频道中
| 日期 | 订阅者增长 | 提及 | 频道 | |
| 22 十月 | 0 | |||
| 21 十月 | +1 | |||
| 20 十月 | +1 | |||
| 19 十月 | +1 | |||
| 18 十月 | 0 | |||
| 17 十月 | 0 | |||
| 16 十月 | 0 | |||
| 15 十月 | +1 | |||
| 14 十月 | +2 | |||
| 13 十月 | +1 | |||
| 12 十月 | 0 | |||
| 11 十月 | 0 | |||
| 10 十月 | 0 | |||
| 09 十月 | 0 | |||
| 08 十月 | +1 | |||
| 07 十月 | 0 | |||
| 06 十月 | 0 | |||
| 05 十月 | +2 | |||
| 04 十月 | 0 | |||
| 03 十月 | 0 | |||
| 02 十月 | +1 | |||
| 01 十月 | +1 |
频道帖子
Sklearn cheatsheet for ML, DL, and AI enthusiasts.
https://github.com/thegeekyb0y/sklearn-cheat/
| 2 | https://github.com/GreyDGL/PentestGPT | 651 |
| 3 | Deep Learning By Andrew Ng.pdf | 726 |
| 4 | 1.LLMs, RAG and building them from Scratch:
https://lnkd.in/gsSCgP_4
2. Reinforcement Learning:
https://lnkd.in/gtV_tCPV
3.Computer Vision and Robotics:
https://lnkd.in/gWhiaJDe
4. Programming and Brief about ADAS
https://lnkd.in/giQf7Sdq
5. Composite channel of Programming, Al, Mathematics with lot of colloborators
https://lnkd.in/gKbWuy-j
6. Mathematics for ML:
https://lnkd.in/gVnrYFtj
7.Stable Diffusion, RL and LLM's
https://lnkd.in/gM8SCcW2
8.Statistics and Mathematics of ML:
https://lnkd.in/gHFm9mdT
9.Python:
https://lnkd.in/g9dKxGa5
10. R and some useful ML models from scratch in R:
https://lnkd.in/gKpiEnEX | 779 |
| 5 | Master_Machine_Learning_Algorithm_.pdf | 643 |
| 6 | 没有文字... | 633 |
| 7 | Training language models to follow instructions
with human feedback | 937 |
| 8 | Great AppSec Hackathon (with placement & internship opportunities) 2024 – the second edition of this electrifying event, organized by Cybersecurity Center of Excellence, DSCI in collaboration with the Government of Telangana.
🔗 Registrations are now open: https://lnkd.in/gcBFKjDs
🗓 Save the date: 17th-18th August 2024
🏆 10 lakh+ Cash Prizes up for grabs!
💼 Direct access to Internships and Placements from top-notch and government agencies.
🧠 Mentorship and guidance from industry experts, helping you sharpen your skills.
🌐 Networking opportunities with fellow coders and tech from around the globe.
🚀 An introductory session to kickstart your hacking journey. | 1 196 |
| 9 | cheatsheet-supervised-learning (1).pdf | 987 |
| 10 | https://github.com/sergey-pronin/Awesome-Vulnerability-Research | 1 016 |
| 11 | https://github.com/ivan-sincek/penetration-testing-cheat-sheet | 952 |
| 12 | My "Learn Python" repo needs a refresh! It isnt updated since a year
I'm looking for contributors to add new Python resources or help remove outdated ones. Your contributions can make a big difference for the community!
Check it out & contribute: https://github.com/thegeekyb0y/learnpython | 985 |
| 13 | 没有文字... | 950 |
| 14 | 没有文字... | 889 |
| 15 | Apple just published a new paper unveiling MM1, a new family of multimodal AI models — with the largest at 30B parameters.
https://www.marktechpost.com/2024/03/16/apple-announces-mm1-a-family-of-multimodal-llms-up-to-30b-parameters-that-are-sota-in-pre-training-metrics-and-perform-competitively-after-fine-tuning/ | 1 083 |
| 16 | Mind blowing stuff by Claude 3, even it's basic version is somehow close to GPT-4 🔥
And Claude 3 OPUS is surpassing everyone in all criterias 🔥😀 | 901 |
| 17 | 没有文字... | 778 |
| 18 | Every LLM has a personality
GPT-4 is like a lazy reticent teenager refusing to answer questions, requiring a lot of pushing to write code and do things
Claude 3 is like an eager and thoughtful adult with a bias for action
Gemini is a holier-than-thou wokist that strives too hard to be politically correct
- Source Twitter | 672 |
| 19 | Tensorflow 2.16 is here :
https://goo.gle/3TyyA6p | 755 |
| 20 | BREAKING: The European Parliament has just APPROVED the AI Act. What everyone should know:
➵ The AI Act follows a risk-based approach. Some AI systems are banned, such as those involving:
- Cognitive behavioral manipulation of people or specific vulnerable groups;
- Social scoring: classifying people based on behavior, socioeconomic status, or personal characteristics;
- Biometric identification and categorization of people;
- Real-time and remote biometric identification systems, such as facial recognition.
Some AI systems fall in the "high-risk" category, such as those involving:
- Critical infrastructures (e.g. transport) that could put the life and health of citizens at risk;
- Educational or vocational training that may determine the access to education and professional course of someone’s life (e.g. scoring of exams);
- Safety components of products (e.g. AI application in robot-assisted surgery);
- Employment, management of workers, and access to self-employment (e.g. CV-sorting software for recruitment procedures);
- Essential private and public services (e.g. credit scoring denying citizens opportunity to obtain a loan);
law enforcement that may interfere with people’s fundamental rights (e.g. evaluation of the reliability of evidence);
- Migration, asylum, and border control management (e.g. automated examination of visa applications);
- Administration of justice and democratic processes (e.g. AI solutions to search for court rulings).
➵ High-risk AI systems will be assessed before being put on the market and also throughout their lifecycle. People will have the right to file complaints about AI systems to designated national authorities.
➵ Generative AI, like ChatGPT, will not be classified as high-risk but will have to comply with transparency requirements and EU copyright law. Some of the obligations are:
- Disclosing that the content was generated by AI;
- Designing the model to prevent it from generating illegal content;
- Publishing summaries of copyrighted data used for training.
The AI Act is expected to officially become law by May or June, and its provisions will start taking effect in stages:
- 6 months later: countries will be required to ban prohibited AI systems;
- 1 year later: rules for general-purpose AI systems will start applying;
- 2 years later: the whole AI Act will be enforceable.
➵ Fines for non-compliance can be up to 35 million Euros or 7% of worldwide annual turnover. | 640 |
