AssemblyAI Product Overview

AssemblyAI · Beginner ·🧠 Large Language Models ·2y ago
AssemblyAI is building AI systems that help you build AI applications with spoken data. We create superhuman AI models for speech recognition, summarization, knowledge augmentation of language models with spoken data, and much more. Our platform enables product teams to integrate intelligent solutions into their products — fast — at an extremely large scale. And all of this is available through our simple API platform. Here are all the models that you can use through AssemblyAI’s API 00:00 Introduction 00:37 Speech Recognition Model 00:56 Speaker Diarization Model 01:05 Summarization Model 01…
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Chapters (16)

Introduction
0:37 Speech Recognition Model
0:56 Speaker Diarization Model
1:05 Summarization Model
1:12 Auto-Chapters Model
1:20 Usecase: Podcast Platform
1:35 Content Moderation Model
1:53 Topic Detection Model
2:14 Usecase: Platfrom Safety
2:34 PII Redaction Model
2:50 Key Phrases Model
3:02 Sentiment Analysis Model
3:12 Entity Detection Model
3:23 Usecase: Contact Center Monitoring
3:40 LeMUR: A Framework for Applying LLMs to Spoken Data
4:13 Get Started with AssemblyAI

Playlist

Uploads from AssemblyAI · AssemblyAI · 0 of 60

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1 Python Speech Recognition in 5 Minutes
Python Speech Recognition in 5 Minutes
AssemblyAI
 2 Python Click Part 1 of 4
Python Click Part 1 of 4
AssemblyAI
 3 Python Click Part 2 of 4
Python Click Part 2 of 4
AssemblyAI
 4 Python Click Part 3 of 4
Python Click Part 3 of 4
AssemblyAI
 5 Python Click Part 4 of 4
Python Click Part 4 of 4
AssemblyAI
 6 Deep learning in 5 minutes | What is deep learning?
Deep learning in 5 minutes | What is deep learning?
AssemblyAI
 7 How to make a web app that transcribes YouTube videos with Streamlit | Part 1
How to make a web app that transcribes YouTube videos with Streamlit | Part 1
AssemblyAI
 8 How to make a web app that transcribes YouTube videos with Streamlit | Part 2
How to make a web app that transcribes YouTube videos with Streamlit | Part 2
AssemblyAI
 9 Batch normalization | What it is and how to implement it
Batch normalization | What it is and how to implement it
AssemblyAI
 10 Real-time Speech Recognition in 15 minutes with AssemblyAI
Real-time Speech Recognition in 15 minutes with AssemblyAI
AssemblyAI
 11 Regularization in a Neural Network | Dealing with overfitting
Regularization in a Neural Network | Dealing with overfitting
AssemblyAI
 12 Add speech recognition to your Streamlit apps in 5 minutes
Add speech recognition to your Streamlit apps in 5 minutes
AssemblyAI
 13 Transformers for beginners | What are they and how do they work
Transformers for beginners | What are they and how do they work
AssemblyAI
 14 Automatic Chapter Detection With AssemblyAI | Python Tutorial
Automatic Chapter Detection With AssemblyAI | Python Tutorial
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 15 Deep Learning Series Part 1 - What is Deep Learning?
Deep Learning Series Part 1 - What is Deep Learning?
AssemblyAI
 16 Deep Learning Series part 2 - Why is it called “Deep Learning”?
Deep Learning Series part 2 - Why is it called “Deep Learning”?
AssemblyAI
 17 Activation Functions In Neural Networks Explained | Deep Learning Tutorial
Activation Functions In Neural Networks Explained | Deep Learning Tutorial
AssemblyAI
 18 Deep Learning Series part 3 - Deep Learning vs. Machine Learning
Deep Learning Series part 3 - Deep Learning vs. Machine Learning
AssemblyAI
 19 Deep Learning Series part 4 - Why is Deep Learning better for NLP?
Deep Learning Series part 4 - Why is Deep Learning better for NLP?
AssemblyAI
 20 Intro to Batch Normalization Part 1
Intro to Batch Normalization Part 1
AssemblyAI
 21 Intro to Batch Normalization Part 2
Intro to Batch Normalization Part 2
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 22 Intro to Batch Normalization Part 3 - What is Normalization?
Intro to Batch Normalization Part 3 - What is Normalization?
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 23 Intro to Batch Normalization Part 4
Intro to Batch Normalization Part 4
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 24 Intro to Batch Normalization Part 5
Intro to Batch Normalization Part 5
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 25 Sentiment Analysis for Earnings Calls with AssemblyAI
Sentiment Analysis for Earnings Calls with AssemblyAI
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 26 Summarizing my favorite podcasts with Python
Summarizing my favorite podcasts with Python
AssemblyAI
 27 Introduction to Regularization
Introduction to Regularization
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 28 How/Why Regularization in Neural Networks?
How/Why Regularization in Neural Networks?
AssemblyAI
 29 Getting Started With Torchaudio | PyTorch Tutorial
Getting Started With Torchaudio | PyTorch Tutorial
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 30 Types of Regularization
Types of Regularization
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 31 Tuning Alpha in L1 and L2 Regularization
Tuning Alpha in L1 and L2 Regularization
AssemblyAI
 32 Dropout Regularization
Dropout Regularization
AssemblyAI
 33 What is GPT-3 and how does it work? | A Quick Review
What is GPT-3 and how does it work? | A Quick Review
AssemblyAI
 34 Backpropagation For Neural Networks Explained | Deep Learning Tutorial
Backpropagation For Neural Networks Explained | Deep Learning Tutorial
AssemblyAI
 35 Jupyter Notebooks Tutorial | How to use them & tips and tricks!
Jupyter Notebooks Tutorial | How to use them & tips and tricks!
AssemblyAI
 36 Best Free Speech-To-Text APIs and Open Source Libraries
Best Free Speech-To-Text APIs and Open Source Libraries
AssemblyAI
 37 Regularization - Early stopping
Regularization - Early stopping
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 38 Regularization - Data Augmentation
Regularization - Data Augmentation
AssemblyAI
 39 Bias and Variance for Machine Learning | Deep Learning
Bias and Variance for Machine Learning | Deep Learning
AssemblyAI
 40 Recurrent Neural Networks (RNNs) Explained - Deep Learning
Recurrent Neural Networks (RNNs) Explained - Deep Learning
AssemblyAI
 41 What is BERT and how does it work? | A Quick Review
What is BERT and how does it work? | A Quick Review
AssemblyAI
 42 Introduction to Transformers
Introduction to Transformers
AssemblyAI
 43 Transformers | What is attention?
Transformers | What is attention?
AssemblyAI
 44 Transformers | how attention relates to Transformers
Transformers | how attention relates to Transformers
AssemblyAI
 45 Transformers | Basics of Transformers
Transformers | Basics of Transformers
AssemblyAI
 46 Supervised Machine Learning Explained For Beginners
Supervised Machine Learning Explained For Beginners
AssemblyAI
 47 Transformers | Basics of Transformers Encoders
Transformers | Basics of Transformers Encoders
AssemblyAI
 48 Transformers | Basics of Transformers I/O
Transformers | Basics of Transformers I/O
AssemblyAI
 49 How to evaluate ML models | Evaluation metrics for machine learning
How to evaluate ML models | Evaluation metrics for machine learning
AssemblyAI
 50 Unsupervised Machine Learning Explained For Beginners
Unsupervised Machine Learning Explained For Beginners
AssemblyAI
 51 Weight Initialization for Deep Feedforward Neural Networks
Weight Initialization for Deep Feedforward Neural Networks
AssemblyAI
 52 Q-Learning Explained - Reinforcement Learning Tutorial
Q-Learning Explained - Reinforcement Learning Tutorial
AssemblyAI
 53 Should You Use PyTorch or TensorFlow in 2022?
Should You Use PyTorch or TensorFlow in 2022?
AssemblyAI
 54 What is Layer Normalization? | Deep Learning Fundamentals
What is Layer Normalization? | Deep Learning Fundamentals
AssemblyAI
 55 I created a Python App to study FASTER
I created a Python App to study FASTER
AssemblyAI
 56 How to create your FIRST NEURAL NETWORK with TensorFlow!
How to create your FIRST NEURAL NETWORK with TensorFlow!
AssemblyAI
 57 Neural Networks Summary: All hyperparameters
Neural Networks Summary: All hyperparameters
AssemblyAI
 58 Getting Started with OpenAI API and GPT-3 | Beginner Python Tutorial
Getting Started with OpenAI API and GPT-3 | Beginner Python Tutorial
AssemblyAI
 59 Convert Speech-To-Text In Python in 60 seconds!
Convert Speech-To-Text In Python in 60 seconds!
AssemblyAI
 60 Gradient Clipping for Neural Networks | Deep Learning Fundamentals
Gradient Clipping for Neural Networks | Deep Learning Fundamentals
AssemblyAI
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Next Up
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)