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Pritish Mishra
India
Приєднався 24 сер 2013
I know some machine learning
I trained an LLM on my WhatsApp Chats
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In this video, I trained an AI chatbot to impersonate me on WhatsApp and see if it could fool my friends into thinking they were talking to the real me. I call this AI chatbot "PriBot" and I trained it using my extensive WhatsApp chat history, fine-tuning a large language model to adopt my unique writing style, humor, and personality.
I then set PriBot loose in live WhatsApp conversations with my friends, letting it take over the chat and try to pass the "Turing Test" by convincing them they were talking to the actual me. Overall though, PriBot was able to have fairly natural and coherent conversations, leaving my friends often unsure if they were really talking to me or not. This experiment showed the impressive capabilities of modern AI to mimic human behavior. I had a lot of fun putting PriBot to the test and seeing how it would perform!
Find the source code in GitHub: github.com/pritishmishra703/AI-WhatsApp-Clone
Follow me on -
Twitter/X: x.com/PritishllM
Instagram: pritishmishra703
LinkedIn: linkedin.com/in/pritish31/
In this video, I trained an AI chatbot to impersonate me on WhatsApp and see if it could fool my friends into thinking they were talking to the real me. I call this AI chatbot "PriBot" and I trained it using my extensive WhatsApp chat history, fine-tuning a large language model to adopt my unique writing style, humor, and personality.
I then set PriBot loose in live WhatsApp conversations with my friends, letting it take over the chat and try to pass the "Turing Test" by convincing them they were talking to the actual me. Overall though, PriBot was able to have fairly natural and coherent conversations, leaving my friends often unsure if they were really talking to me or not. This experiment showed the impressive capabilities of modern AI to mimic human behavior. I had a lot of fun putting PriBot to the test and seeing how it would perform!
Find the source code in GitHub: github.com/pritishmishra703/AI-WhatsApp-Clone
Follow me on -
Twitter/X: x.com/PritishllM
Instagram: pritishmishra703
LinkedIn: linkedin.com/in/pritish31/
Переглядів: 1 973
Відео
I built a real-time AI that mimics my movements in Super Mario
Переглядів 1,3 тис.Рік тому
Twitter: PritishllM Instagram: pritishmishra703 LinkedIn: www.linkedin.com/in/pritish31/ Code: github.com/pritishmishra703/MarioIRL Dive into this gaming experiment with me as I figure out how to control Mario using just my body! I'll take you through the hurdles of tracking my movements without a camera, creating a cool Android app for real-time sensor data, and trai...
Automate Anything using ChatGPT!
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GitHub Repo: github.com/pritishmishra703/Luna In this video, we embark on the journey of creating our own computer assistant named Luna. Utilizing ChatGPT and speech-to-intent classification, we develop Luna's abilities to understand user commands and perform tasks such as opening websites, desktop applications, and even simulating keyboard shortcuts. With the integration of a wake word detecto...
Using GPT-3 to Generate Answers From Book
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HuggingFace Space: huggingface.co/spaces/pritish/BookGPT Kaggle Notebook: bit.ly/3kg3dP7 Have you ever wished you could search a book like you search the web? In this video, we'll show you how to build an AI book search using the Universal Sentence Encoder and GPT-3. We'll walk through the steps of breaking down a large book into smaller chunks, generating embeddings for each chunk using the Un...
The Secret to 90%+ Accuracy in Text Classification
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In this video, we will be providing a beginner's guide to fine-tuning BERT, one of the most powerful natural language processing (NLP) models available. BERT, which stands for "Bidirectional Encoder Representations from Transformers," has been trained on a massive amount of text data and can be fine-tuned for a variety of NLP tasks, such as text classification, machine translation, and named en...
How to Make Your Images Talk: The AI that Captions Any Image
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HuggingFace Web App: bit.ly/3SDyOWt Image captioning is the process of taking an image and generating a caption that accurately describes the scene. This is a difficult task for neural networks because it requires understanding both natural language and computer vision. In this video, I discuss my complete approach to this problem. For visual understanding, we will use Inception V3, and for nat...
The power of "Attention" in Deep Learning
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In this video, we will learn about attention and how it can be used to improve machine translation. First, we will see how machine translation used to be done before attention was introduced. Then we will learn about Bahdanau attention and how it works. Finally, we will implement it with TensorFlow. Source code (GitHub): bit.ly/3Q4QitD 🔗 Social Media 🔗 📱 Twitter: bit.ly/3aJWAeF 📝 LinkedIn: bi...
NLP-based Movie Recommendation System
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Hey, Google's Universal Sentence Encoder can generate embeddings for any sentence, which can be used to create a recommendation system for movies. The system uses the Top 10,000 movies dataset from Kaggle, which provides a short description of each movie. The system then generates embeddings for all 5,500 movies in the dataset and uses principal component analysis to visualize the embeddings in...
Data Augmentation with Albumentations (Python Package)
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Hey, In this video, we will discuss Albumentations. It is a python package for augmentations. You must be thinking, "What's the need for a dedicated augmentation library when most of the deep learning frameworks already have support for augmentation?". Well, Albumentations is different it is very fast, easy to use, and most important you can do augmentation for Image segmentation, Object Detect...
The Convolutional Neural Network (Animated Introduction)
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Hey, In this video, we will discuss the convolutional neural networks which are used for image datasets. Timestamp: 0:00-0:33 Introduction 0:33-0:54 How does image data look like? 0:54-1:45 Why can't we use ANN? 1:45-4:47 Convolutional neural network 4:47-5:41 Strides 5:41-7:01 Max-Pooling 7:01-8:31 The Final Picture 8:31-9:04 Outro Access this playlist: bit.ly/3kEjs4J Github Repo of playlist: ...
Early Stopping & Dropout: Ways to overcome Overfitting
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Hey, In this video, we will discuss Early stopping and Dropout which is ways to overcome overfitting. Access this playlist: bit.ly/3kEjs4J Github Repo of playlist: bit.ly/3jy3r13 Resources: More about Dropout 1. bit.ly/3emITVH 2. bit.ly/3svDaFn 3. bit.ly/32gGn0Z 🔗 Social Media 🔗 📱 Twitter: bit.ly/3aJWAeF 📝 LinkedIn: - bit.ly/3aQGGiL 🌎 Website: bit.ly/31F4nb2 📂 GitHub: bit.ly/2QGLVYV ⭐ C...
What is a Deep Neural Network?
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Hey, In this video, we will discuss Deep neural networks (DNN). Deep neural network is made up of neurons which are fundamental building blocks of a DNN. We will also discuss how DNN trains [forward and backward pass] and then implement this with Keras. Access this playlist: bit.ly/3kEjs4J Code of this video: bit.ly/32avAVD Github Repo of playlist: bit.ly/3jy3r13 Resources: More about Deep Neur...
Adam, AdaGrad & AdaDelta - EXPLAINED!
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Hey, In this video, we will discuss what Adam optimizer is and go into some detail. This video also includes AdaGrad and AdaDelta optimizers. You might have used Adam in your standard deep learning workflow but knowing it's under the hood details is also essential. Access this playlist: bit.ly/3kEjs4J Code of this video: bit.ly/3n7XcBq Github Repo of playlist: bit.ly/3jy3r13 Timestamp: 0:00 - 0...
Optimization in Deep Learning
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Hey, In this video, we will discuss what is optimization? with animation in a crystal clear way! We will discuss how optimization works and how it updates weights and biases to reduce the error made by the loss function. This video covers Gradient Descent, Momentum, the role of learning rate in training, live simulation of training with gradient descent, and types of Gradient descent. Access th...
See this if you DON'T understand Loss Functions
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See this if you DON'T understand Loss Functions
Activation Functions: The Intuitive way!
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Activation Functions: The Intuitive way!
Neuron: Building block of Deep learning
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Neuron: Building block of Deep learning
K Nearest Neighbor Algorithm from Scratch (in 30 line) | Clearly Explained!
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K Nearest Neighbor Algorithm from Scratch (in 30 line) | Clearly Explained!
Wake Word Detection with Tensorflow | P2
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Wake Word Detection with Tensorflow | P2
Wake Word Detection with TensorFlow (100% Accuracy on Test Data!)
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Wake Word Detection with TensorFlow (100% Accuracy on Test Data!)
L1 and L2 Regularization in Machine learning (Mathematics Explained!)
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L1 and L2 Regularization in Machine learning (Mathematics Explained!)
Your Python Script to Pip Package in Minutes
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Your Python Script to Pip Package in Minutes
What is Label Encoder | Data Preprocessing - Machine Learning
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What is Label Encoder | Data Preprocessing - Machine Learning
The Timelapse | Artificial Intelligence
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The Timelapse | Artificial Intelligence
Make your OWN Linear Regression Algorithm - #1
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Make your OWN Linear Regression Algorithm - #1
Linear Regression Math Intution With Animation | ML Series Part 1
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Linear Regression Math Intution With Animation | ML Series Part 1
How to Search Content in Website with Django | Advance Django Tutorials - #11
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How to Search Content in Website with Django | Advance Django Tutorials - #11
How do you integrate your trained LLM to whatsapp? I don't think you covered that part
Hi great Vedio, Please add for other models like laama 3 and deep seek for text classification
This is great. Keep it up. 🎉🎉🎉
Bro I need a little help regarding a project where can I contact you?
You have missed initializing tokenizer `tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased") `
Great video bro ❤
Awesome video, thank you for sharing :)
This guy is great
Great explanation!!!
Wondering why this playlist didn't reach me before. It's great 😊
Best animation ever to understand the concepts in a simpler way. Loved it 😊 keep doing them
Can you make a llm by own data like chatgpt
i want to save this model and then convert it to tflite and then predict using tflite model what to do
how this gem only have 1 k veiws. world is biased bro
that was fucking amazing
explained very good manner . but can i get background music name ?
Image captioning With RNN code isn’t available,could you please solve it :/
bro your source code link is not working
Very precise and nice explanation 💯✨
Thanks brother
The video quality and the way you explained everything is Top-Notch. Thank you for this video
I got 94% F1 with bert-base-uncased
Well done, Mishra
Can you please explain how I can retrain the same model (after exporting) with new data. Basically, I want to train the same model in stages. Please help.
Hi Pritish, amazing tutorials. Thank you. While running the transformers colab book getting error at - ----> 4 pred_caption = generate_caption(img_path). TypeError: `x` and `y` must have the same dtype, got tf.uint8 != tf.float32. Can you please help!
did it got solved??
@PubG-bm7hv no
Hi what if i want to train it on unsupervised learning like kmeans clustering?
good
This is awesome, you really deserve more views and subs. I laughed a lot with the memes, you have a great sense of humor
Your presentation top level… sidhi baat,no Bakvas… please word2vec to attention,lLM playlist
Thanks
Bhai lekin tune woh logout ka explaination nahi diya ki wo kaise add kiya
Great video! can you also add the selenium automation to the github repo and not only the creation of the LLM?
Awesome video bro keep it up. ❤❤
Bro, how do you make these videos?
I am very impressed with the way you teach.
Great content keep it up 👏
Lesss gooo 🗿
nice 🗿🔥
AI 🚀🚀
Amazing Content , Keep it Up !!
Hii is there a way to augment a video dataset
Broo's video quality 🔥🔥🔥🔥
in rotation of phone 2 more sensors are used . not just accelerometer
why are you not famous yet,you are too good
This was great. We were supposed to build a model from the beginning like this at my university. But we stopped halfway through because of time constraints :( . Your videos were perfect. I liked and subscribed!
Source code link with RNN not working😢😢
How to fine tune csv dataset on BERT model
Hey i wanted to ask how did you start your journey .. I am willing to understand ML in depth with GenAi.. You prefer any courses pls let me know
Great work pritish! truly inspired by your dedication to deliver such amazing content
no one was covering this library , u r a legend bro ..! I knew data augmentation in CNN but yolo have labelled data ..!