Google Pixel VPN design changed

Google has released a new update of its Pixel VPN app. In this update, the app has got a new Material 3 design, due to which its interface will look more clean and modern. A new change has been made in the quick settings tile. Now VPN by Google will be written in the quick settings tile.

Moonshot launches open source model

‘Chinese artificial intelligence startup Moonshot AI has launched a new open-source model. This model called Kimi K2 has advanced coding capabilities. It can solve complex tasks more effectively. The company claimed that this model will compete with DeepSeek’s Vue and Anthropic’s models. The company says that its arrival will bring competition in the market. Also, other companies will have to improve their AI models.

Feature added to Gemini app

Google has added a new chat search feature to the Gemini app for Android users. With this feature, it will now be easy to find old chats or conversations. This new feature can be accessed from the navigation drawer of the app. It will provide a full screen search experience. This feature first came on the web version in May. Then it was also started on iOS, so that chat search can be the same on all devices. This feature has been started for limited users only.

Chrome-Android will be one platform

Google has announced to merge Chrome operating system and Android into one platform. The news of this plan came out in November 2024, and now the company has publicly accepted it.

Those typing will be counted

WhatsApp has added a new update to its Android app. In version 2.25.20.17, the new update under the Google Play Beta program will count the people typing in the group bat. This will make it easier for users to decide whether to participate in this chat or not.

Trial reels feature for those with thousand followers

Instagram has made its trial reels feature available to all those creators who have at least 1,000 followers and whose account is public. With this, it is possible to increase the rich by using old content.

Humanoid robots are managing hotels

Tokyo, Agency. An Argentine social media influencer was surprised when she arrived at a hotel in Japan. Actually, robots were managing all the activities from check-in to check-out. There was no human present. A humanoid robot welcomed her at the reception.

The influencer posted a video of this robot-run hotel on social media which went viral. The hotel chain started in Nagasaki in 2015. Now it has reached Seoul and New York.

how chatgpt work

ChatGPT works by using a type of artificial intelligence called a large language model (LLM), specifically based on the GPT (Generative Pre-trained Transformer) architecture developed by OpenAI. Here’s a simple breakdown of how it works:


1. Training on Text Data

ChatGPT was trained on a massive amount of text from books, websites, conversations, and more. This process includes:

  • Reading billions of words to learn grammar, facts, reasoning patterns, and styles of writing.
  • Learning by prediction: The model’s core task during training was to predict the next word in a sentence. For example, given “The sky is”, it learns to likely say “blue”.

2. Transformer Architecture

GPT uses a machine learning architecture called a transformer, which excels at handling sequences of data—like words in a sentence. It understands context by:

  • Using attention mechanisms to weigh the importance of each word in a sentence.
  • Capturing complex relationships between words, even if they are far apart.

3. Fine-Tuning with Human Feedback

After the initial training, ChatGPT was fine-tuned with Reinforcement Learning from Human Feedback (RLHF). This involves:

  • Showing the model different responses.
  • Asking human reviewers to rank which response is better.
  • Teaching the model to prefer helpful, honest, and safe responses.

4. Generating Responses

When you type a question:

  1. Your input is tokenized (split into chunks).
  2. The model uses its learned patterns to predict the most likely next words.
  3. It continues predicting word by word until the response is complete.

The result is a natural-sounding reply that’s based on patterns it has seen during training—not a lookup or copy-paste.


Important Notes

  • It doesn’t “understand” like a human. It doesn’t have beliefs, emotions, or consciousness.
  • It can make mistakes or “hallucinate” facts.
  • It doesn’t access the internet in real time (unless tools are enabled).

how chatgpt work

ChatGPT said:

ChatGPT works by using a large language model (LLM) — a kind of artificial intelligence trained to understand and generate human-like text. Here’s a simple explanation of how it works:


1. What It’s Built On

ChatGPT is based on a neural network architecture called Transformer, introduced by Google in 2017. The specific version used is called GPT (Generative Pretrained Transformer).


2. Two Main Phases

a. Pretraining

  • ChatGPT is trained on a massive amount of text from books, websites, articles, and more.
  • It learns language patterns by predicting the next word in a sentence, over and over again.
  • For example: Given the text “The cat sat on the”, it might learn that “mat” is a likely next word.

b. Fine-Tuning (RLHF)

  • It is then fine-tuned using a technique called Reinforcement Learning from Human Feedback (RLHF).
  • Humans review model responses and score them to teach the model how to be more helpful, safe, and conversational.

3. How It Answers You

When you type a question:

  1. Your input is converted into tokens (small text chunks).
  2. The model processes the tokens using its internal knowledge and patterns it has learned.
  3. It generates a response one token at a time, choosing the most likely next word at each step.
  4. The result is sent back to you as a full answer.

4. What’s Inside ChatGPT?

  • Parameters: These are like brain cells. GPT-4 has trillions of them, helping it understand complex language.
  • Training Data: It was trained on publicly available data and licensed datasets — but not real-time data or private chats.
  • No Memory (unless enabled): Normally, ChatGPT doesn’t remember past chats, unless memory is turned on.

5. What It Can and Can’t Do

✅ Can:

  • Write code, stories, and essays
  • Translate languages
  • Solve math problems
  • Answer questions based on learned knowledge (up to 2024 for GPT-4)

❌ Can’t:

  • Access the internet (in most cases)
  • Know anything you haven’t told it or that it wasn’t trained on
  • Have real emotions or consciousness

how chatgpt work

ChatGPT said:

ChatGPT works by using artificial intelligence (AI) and machine learning to understand and generate human-like text. Here’s a simple breakdown of how it works:


1. Trained on Large Amounts of Data

  • ChatGPT is built on a language model called GPT (Generative Pre-trained Transformer).
  • It was trained using billions of words from books, websites, articles, and more (until its knowledge cutoff: June 2024, for the current version you’re using).
  • It learned patterns of grammar, meaning, reasoning, and context—not by memorizing answers, but by learning how language works.

2. Transformer Architecture

  • It uses a model architecture called a Transformer, which is good at handling long-range dependencies in text.
  • The Transformer uses mechanisms like attention to focus on relevant parts of the input while generating responses.

3. Input → Processing → Output

  1. You type a message.
  2. ChatGPT converts your input into tokens (chunks of words/letters).
  3. It then predicts what should come next in the response, one token at a time, using probability.
  4. This prediction continues until a full answer is formed.

4. Fine-tuning & Safety

  • After pretraining, it was fine-tuned using human feedback (called RLHF: Reinforcement Learning with Human Feedback).
  • This makes it better at being helpful, safe, and aligned with user intentions.
  • Filters are also in place to avoid harmful, biased, or inappropriate responses.

5. No Internet Access (During Use)

  • ChatGPT doesn’t “look things up” live on the internet.
  • It generates answers from the patterns and knowledge it has already learned during training.

Summary

StepWhat Happens
1. TrainingLearns from a huge dataset of text.
2. ArchitectureUses a transformer neural network to model language.
3. Input → OutputPredicts responses based on what you type.
4. Fine-tuningImproved by human feedback for better answers.
5. No Live Web AccessUses pre-learned knowledge, not real-time browsing.