Uploaded July 2024 | Updated September 2026, 2 weeks ago
π Get your AssemblyAI API key here: assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_smit_22
AssemblyAI's Lemur support for Claude 3.5 Sonnet: assemblyai.com/docs/lemur/ask-questions?utm_source=youtube&utm_medium=referral&utm_campaign=yt_smit_22
Use LLM's with LeMUR: assemblyai.com/docs/lemur/advanced/customize-parameters?utm_source=youtube&utm_medium=referral&utm_campaign=yt_smit_22#send-customized-input
In this tutorial, we'll guide you through building an advanced chatbot using the Claude 3.5 Sonnet model and AssemblyAI's Speech-to-Text API. You'll learn how to convert audio data into text, process it using Claude 3.5 Sonnet's AI capabilities, and generate intelligent, context-aware responses. With detailed Python code examples and step-by-step instructions, this video will help you create a powerful audio-based chatbot for a variety of applications.
Timestamps:
00:00 - Intro & demo
01:00 - Install AssemblyAI's Python SDK
01:30 - Build a Chatbot with Claude 3.5 Sonnet
07:00 - Final demo of app
β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬ CONNECT β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬
π₯οΈ Website: assemblyai.com
π¦ Twitter: twitter.com/AssemblyAI
π½ Reddit: reddit.com/r/assemblyai
βΆοΈ Subscribe: youtube.com/c/AssemblyAI?sub_confirmation=1
π₯ We're hiring! Check our open roles: assemblyai.com/careers
β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬
#MachineLearning #DeepLearning
π Get your AssemblyAI API key here: assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_smit_22
AssemblyAI's Lemur support for Claude 3.5 Sonnet: assemblyai.com/docs/lemur/ask-questions?utm_source=youtube&utm_medium=referral&utm_campaign=yt_smit_22
Use LLM's with LeMUR: assemblyai.com/docs/lemur/advanced/customize-parameters?utm_source=youtube&utm_medium=referral&utm_campaign=yt_smit_22#send-customized-input
In this tutorial, we'll guide you through building an advanced chatbot using the Claude 3.5 Sonnet model and AssemblyAI's Speech-to-Text API. You'll learn how to convert audio data into text, process it using Claude 3.5 Sonnet's AI capabilities, and generate intelligent, context-aware responses. With detailed Python code examples and step-by-step instructions, this video will help you create a powerful audio-based chatbot for a variety of applications.
Timestamps:
00:00 - Intro & demo
01:00 - Install AssemblyAI's Python SDK
01:30 - Build a Chatbot with Claude 3.5 Sonnet
07:00 - Final demo of app
β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬ CONNECT β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬
π₯οΈ Website: assemblyai.com
π¦ Twitter: twitter.com/AssemblyAI
π½ Reddit: reddit.com/r/assemblyai
βΆοΈ Subscribe: youtube.com/c/AssemblyAI?sub_confirmation=1
π₯ We're hiring! Check our open roles: assemblyai.com/careers
β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬
#MachineLearning #DeepLearning








![The Fundamentals of LLM Text Generation
Lets explore how Large Language Models (LLMs) like ChatGPT, Claude, Gemini generate text, focusing on decoding strategies that introduce randomness to produce human-like responses. We break down key sampling algorithms such as top-k sampling, top-p sampling (nucleus sampling), and temperature sampling. Additionally, we dive into an alternative method for text generation, typical sampling, based on information theory.
References:
[1] Locally Typical Sampling, by Clara Meister et al: https://arxiv.org/pdf/2202.00666
Video sections:
00:00 How LLMs generate text (Overview)
00:56 Why Randomness in text generation?
02:12 Top-k
03:22 Top-p
04:44 Temperature
06:04 Entropy and Information Content
07:12 Typical Sampling
β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬ CONNECT β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬
π₯οΈ Website: https://www.assemblyai.com
π¦ Twitter: https://twitter.com/AssemblyAI
π½ Reddit: https://reddit.com/r/assemblyai
βΆοΈ Subscribe: https://www.youtube.com/c/AssemblyAI?sub_confirmation=1
π₯ Were hiring! Check our open roles: https://www.assemblyai.com/careers
π Get your AssemblyAI API key here: https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_marco_2
β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬
#MachineLearning #DeepLearning The Fundamentals of LLM Text Generation](https://i.ytimg.com/vi/a-6hVvU1WMk/mqdefault.jpg)

