Ameca conversation using GPT 3 – Will robots take over the world?
This Ameca demo couples automated speech recognition with GPT 3 – a large language model that generates meaningful answers – the output is fed to an online TTS service which generates the voice and visemes for lip sync timing.
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Dialogflow Integration with Python Jarvis
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Frank
- September 12, 2022
- Chatbot
- chatbot tutorial
- dialogflow
- dialogflow python
- dialogflow python chat
- how to make jarvis
- how to make jarvis in python
- jarvis
- jarvis ai
- jarvis example code
- jarvis how to
- jarvis in python
- jarvis python
- Python
- python chatbot tutorial
- python dialogflow example
- python jarvis
- python jarvis ai
- python jarvis tutorial
- python voice assistant
- python voice assistant code
- python voice assistant project
- python voice assistant tutorial
- voice assistant using python
Python Jarvis tutorial 4 where you learn how to use the online machine learning from Dialogflow in your own personal assistant to add some personality and artificial intelligence.
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Intro to Natural Language Processing (NLP)
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Frank
- August 22, 2022
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- Clustering
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- Natural Language Processing
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sentiment Analysis
- Sequential model
- Supervised Learning
- TensorFlow
- tensorflow.js
- Text Classification
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
This course provides an introduction to the field of Natural Language Processing (NLP) with a focus on sentiment analysis and text classification using artificial neural networks. In this lesson, we’ll get introduced to the field of Natural Language Processing, otherwise known simply as NLP.
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A $5 Million AI Model for Free
Imagine an AI where, all in the same model you could Translate languages, Write code, solve crossword puzzles, Be a chatbot and do a whole bunch of other crazy things. In this video, learn about the BLOOM large language model. A free and totally open source 176B parameter LLM. BLOOM model: https://huggingface.co/bigscience/bloom
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Justin Harrison on Virtual Posthumous Communications
In this episode of Data Driven, Andy and I interview Justin Harrison, the founder and CEO of YOV, You Only Virtual. YOV aims to develop means to provide posthumous communications, or being able to converse with the dead. This is not done via paranormal communications, seances, or Ouija boards, this is using AI to preserve […]
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Audio Neural Networks without Ground Truth: Avoid Humans in the Loop
From the PyData London 2022 conference Orian Sharoni speaks about Audio Neural Networks without Ground Truth: How to Avoid Humans in the Loop at all Costs. Manual listening tests are great but they’re time consuming, mission specific and expensive. We all want good quality automated testing measurements to better our algorithms but can we truly get […]
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Back Propogration In Recurrent Neural Network And NLP Applications
Day 7 of Krish’s NLP workshop. All materials will be added in the below dashboard. Enroll for free. An Amazing announcement for you all. All the Live Courses that are going to come in iNeuron in the future will also be available in the TechNeuron under just 1 subscription. Currently we have 200+ courses in […]
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What are Azure Language Services?
Ayşegül Yönet tells us what Azure Language Services can do, such as understand and analyze text & conversations.
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Illustrated Guide to Transformers Neural Network: A step by step explanation
Transformers are the rage nowadays, but how do they work? This video demystifies the novel neural network architecture with step by step explanation and illustrations on how transformers work. CORRECTIONS: The sine and cosine functions are actually applied to the embedding dimensions and time steps!
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