Here we have compiled a list of 40+ cheat sheets that cover a wide range of topics essential for you. 👇
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5. Tailwind CSS :- https://lnkd.in/d_T5q5Tx
6. React :- https://t.iss.one/Programming_experts/230
7. Python :- https://t.iss.one/pythondevelopersindia/99
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25. Machine Learning :- https://t.iss.one/learndataanalysis/29
26. Windows Command :- https://lnkd.in/dAMeCywP
27. Computer Basics :- https://lnkd.in/d9yaNaWN
28. MySQL :- https://lnkd.in/d7iJjSpQ
29. PostgreSQL :- https://lnkd.in/dDHQkk5f
30. MSExcel :- https://bit.ly/3Jz0dpG
31. MSWord :- https://lnkd.in/dAX4FGkR
32. Java :- https://lnkd.in/dRe98iSB
33. Cryptography :- https://lnkd.in/dYvRHAH9
34. C++ :- https://lnkd.in/d4GjE2kd
35. C :- https://lnkd.in/diuHU72d
36. Resume Creation :- https://bit.ly/3JA3KnJ
37. ChatGPT :- https://lnkd.in/dsK37bSj
38. Docker :- https://lnkd.in/dNVJxYNa
39. Gmail :- bit.ly/3JX68pR
40. AngularJS :- bit.ly/3yYY0ik
41. Atom Text Editor :- bit.ly/40oJFY9
42. R Programming :- bit.ly/3Jysq00
1. HTML & CSS :- htmlcheatsheet.com
2. JavaScript :- https://lnkd.in/dfSvFuhM
3. Jquery :- https://lnkd.in/dcvy6kmQ
4. Bootstrap 5 :- https://lnkd.in/dNZ6qdBh
5. Tailwind CSS :- https://lnkd.in/d_T5q5Tx
6. React :- https://t.iss.one/Programming_experts/230
7. Python :- https://t.iss.one/pythondevelopersindia/99
8. MongoDB :- https://lnkd.in/dBXxCQ43
9. SQL :- https://t.iss.one/sqlspecialist/222
10. Nodejs :- https://lnkd.in/dwry8BKH
11. Expressjs :- https://lnkd.in/d3BMMwem
12. Django :- https://lnkd.in/dYWQKZnT
13. PHP :- https://quickref.me/php
14. Google Dork :- https://lnkd.in/dKej3-42
15. Linux :- https://lnkd.in/dCgH_qUq
16. Git :- https://lnkd.in/djf9Wc98
17. VSCode :- https://quickref.me/vscode
18. PC Keyboard :- https://bit.ly/3luF73K
19. Data Structures and Algorithms :- https://lnkd.in/d75ijyr3
20. DSA Practice :- https://lnkd.in/dDc6SaR8
21. Data Science :- https://lnkd.in/dHaxPYYA
22. Flask :- https://lnkd.in/dkUyWHqR
23. CCNA :- https://lnkd.in/dE_yD6ny
24. Cloud Computing :- https://lnkd.in/d9vggegr
25. Machine Learning :- https://t.iss.one/learndataanalysis/29
26. Windows Command :- https://lnkd.in/dAMeCywP
27. Computer Basics :- https://lnkd.in/d9yaNaWN
28. MySQL :- https://lnkd.in/d7iJjSpQ
29. PostgreSQL :- https://lnkd.in/dDHQkk5f
30. MSExcel :- https://bit.ly/3Jz0dpG
31. MSWord :- https://lnkd.in/dAX4FGkR
32. Java :- https://lnkd.in/dRe98iSB
33. Cryptography :- https://lnkd.in/dYvRHAH9
34. C++ :- https://lnkd.in/d4GjE2kd
35. C :- https://lnkd.in/diuHU72d
36. Resume Creation :- https://bit.ly/3JA3KnJ
37. ChatGPT :- https://lnkd.in/dsK37bSj
38. Docker :- https://lnkd.in/dNVJxYNa
39. Gmail :- bit.ly/3JX68pR
40. AngularJS :- bit.ly/3yYY0ik
41. Atom Text Editor :- bit.ly/40oJFY9
42. R Programming :- bit.ly/3Jysq00
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How to Master Networking
Looking to expand your connections? Use these tips!
1. Be genuine and approachable in conversations.
2. Prepare a brief, engaging introduction about yourself.
3. Follow up with new contacts to build lasting relationships.
4. Offer help and value to others without expecting immediate returns.
5. Attend industry events and stay active on professional platforms.
Looking to expand your connections? Use these tips!
1. Be genuine and approachable in conversations.
2. Prepare a brief, engaging introduction about yourself.
3. Follow up with new contacts to build lasting relationships.
4. Offer help and value to others without expecting immediate returns.
5. Attend industry events and stay active on professional platforms.
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Big update from Microsoft
Microsoft just announced Copilot Vision which is now in preview to select users (from what I understand) Watch it support in the geoguesser game!
Copilot vision whilst for some may create some concerns over privacy can now understand the full context of what you’re doing online in real time. Official release details here
Microsoft just announced Copilot Vision which is now in preview to select users (from what I understand) Watch it support in the geoguesser game!
Copilot vision whilst for some may create some concerns over privacy can now understand the full context of what you’re doing online in real time. Official release details here
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OpenAI releases text-to-video model Sora for ChatGPT Plus and Pro users
Dec 9 (Reuters) - OpenAI said on Monday it has released its artificial intelligence model, which creates video from text, to ChatGPT Plus and Pro users, expanding its foray into multimodal AI technologies.
The Microsoft-backed (MSFT.O), opens new tab company, which kicked off a generative AI craze with the launch of its ChatGPT chatbot in November 2022, aims to target similar text-to-video tools from Meta (META.O), opens new tab and Alphabet's (GOOGL.O), opens new tab Google, along with Stability AI's Stable Video Diffusion.
Dec 9 (Reuters) - OpenAI said on Monday it has released its artificial intelligence model, which creates video from text, to ChatGPT Plus and Pro users, expanding its foray into multimodal AI technologies.
The Microsoft-backed (MSFT.O), opens new tab company, which kicked off a generative AI craze with the launch of its ChatGPT chatbot in November 2022, aims to target similar text-to-video tools from Meta (META.O), opens new tab and Alphabet's (GOOGL.O), opens new tab Google, along with Stability AI's Stable Video Diffusion.
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Many people reached out to me saying telegram may get banned in their countries. So I've decided to create WhatsApp channels based on your interests 👇👇
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👍5❤2🏆1
Introducing the Realtime API
Today, we're introducing a public beta of the Realtime API, enabling all paid developers to build low-latency, multimodal experiences in their apps. Similar to ChatGPT’s Advanced Voice Mode, the Realtime API supports natural speech-to-speech conversations using the six preset voices(opens in a new window) already supported in the API.
We’re also introducing audio input and output in the Chat Completions API(opens in a new window) to support use cases that don’t require the low-latency benefits of the Realtime API. With this update, developers can pass any text or audio inputs into GPT-4o and have the model respond with their choice of text, audio, or both.
From language apps and educational software to customer support experiences, developers have already been leveraging voice experiences to connect with their users. Now with Realtime API and soon with audio in the Chat Completions API, developers no longer have to stitch together multiple models to power these experiences.
Today, we're introducing a public beta of the Realtime API, enabling all paid developers to build low-latency, multimodal experiences in their apps. Similar to ChatGPT’s Advanced Voice Mode, the Realtime API supports natural speech-to-speech conversations using the six preset voices(opens in a new window) already supported in the API.
We’re also introducing audio input and output in the Chat Completions API(opens in a new window) to support use cases that don’t require the low-latency benefits of the Realtime API. With this update, developers can pass any text or audio inputs into GPT-4o and have the model respond with their choice of text, audio, or both.
From language apps and educational software to customer support experiences, developers have already been leveraging voice experiences to connect with their users. Now with Realtime API and soon with audio in the Chat Completions API, developers no longer have to stitch together multiple models to power these experiences.
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Will LLMs always hallucinate?
As large language models (LLMs) become more powerful and pervasive, it's crucial that we understand their limitations.
A new paper argues that hallucinations - where the model generates false or nonsensical information - are not just occasional mistakes, but an inherent property of these systems.
While the idea of hallucinations as features isn't new, the researchers' explanation is.
They draw on computational theory and Gödel's incompleteness theorems to show that hallucinations are baked into the very structure of LLMs.
In essence, they argue that the process of training and using these models involves undecidable problems - meaning there will always be some inputs that cause the model to go off the rails.
This would have big implications. It suggests that no amount of architectural tweaks, data cleaning, or fact-checking can fully eliminate hallucinations.
So what does this mean in practice? For one, it highlights the importance of using LLMs carefully, with an understanding of their limitations.
It also suggests that research into making models more robust and understanding their failure modes is crucial.
No matter how impressive the results, LLMs are not oracles - they're tools with inherent flaws and biases
LLM & Generative AI Resources: https://t.iss.one/generativeai_gpt
As large language models (LLMs) become more powerful and pervasive, it's crucial that we understand their limitations.
A new paper argues that hallucinations - where the model generates false or nonsensical information - are not just occasional mistakes, but an inherent property of these systems.
While the idea of hallucinations as features isn't new, the researchers' explanation is.
They draw on computational theory and Gödel's incompleteness theorems to show that hallucinations are baked into the very structure of LLMs.
In essence, they argue that the process of training and using these models involves undecidable problems - meaning there will always be some inputs that cause the model to go off the rails.
This would have big implications. It suggests that no amount of architectural tweaks, data cleaning, or fact-checking can fully eliminate hallucinations.
So what does this mean in practice? For one, it highlights the importance of using LLMs carefully, with an understanding of their limitations.
It also suggests that research into making models more robust and understanding their failure modes is crucial.
No matter how impressive the results, LLMs are not oracles - they're tools with inherent flaws and biases
LLM & Generative AI Resources: https://t.iss.one/generativeai_gpt
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AI Prediction in 2025
1. Major Acquisitions: Anthropic (Amazon), Mistral (Meta), and Cohere (Google).
2. Mistral will be absorbed into Meta
3. Cohere will be bought by Google
4. Rest like SSI (from Ilya) etc will simply fold like Inflection AI etc.
5. Only OpenAI and XAI may remain as independent companies.
6. Mainstream Adoption of AI Agents.
7. Proliferation of Specialized Large Language Models.
1. Major Acquisitions: Anthropic (Amazon), Mistral (Meta), and Cohere (Google).
2. Mistral will be absorbed into Meta
3. Cohere will be bought by Google
4. Rest like SSI (from Ilya) etc will simply fold like Inflection AI etc.
5. Only OpenAI and XAI may remain as independent companies.
6. Mainstream Adoption of AI Agents.
7. Proliferation of Specialized Large Language Models.
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Artificial_Intelligence,_Game_Theory_and_Mechanism_Design_in_Politics.pdf
2.8 MB
Artificial Intelligence, Game Theory and Mechanism Design in Politics
Tshilidzi Marwala, 2023
Tshilidzi Marwala, 2023
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