Crypto Flexs
  • DIRECTORY
  • CRYPTO
    • ETHEREUM
    • BITCOIN
    • ALTCOIN
  • BLOCKCHAIN
  • EXCHANGE
  • TRADING
  • SLOT
  • CASINO
  • SPORTSBET
  • SUBMIT
Crypto Flexs
  • DIRECTORY
  • CRYPTO
    • ETHEREUM
    • BITCOIN
    • ALTCOIN
  • BLOCKCHAIN
  • EXCHANGE
  • TRADING
  • SLOT
  • CASINO
  • SPORTSBET
  • SUBMIT
Crypto Flexs
Home»ADOPTION NEWS»Claude 3.5 Sonnet, Enhanced Audio Data Analysis via Python
ADOPTION NEWS

Claude 3.5 Sonnet, Enhanced Audio Data Analysis via Python

By Crypto FlexsJuly 21, 20243 Mins Read
Facebook Twitter Pinterest LinkedIn Tumblr Email
Claude 3.5 Sonnet, Enhanced Audio Data Analysis via Python
Share
Facebook Twitter LinkedIn Pinterest Email

Terryl Dickey
July 20, 2024 11:23

Learn how to implement a seamless integration using AssemblyAI’s LeMUR framework and use the Claude 3 model with audio data in Python.





Anthropic’s recently released Claude 3.5 Sonnet sets a new industry benchmark for a variety of LLM tasks. The model excels at complex coding, nuanced literary analysis, and demonstrates exceptional contextual awareness and creativity.

According to AssemblyAI, users can now learn how to leverage Claude 3.5 Sonnet, Claude 3 Opus, and Claude 3 Haiku with audio or video files in Python.

claude3_remer_pipeline.png
Pipeline for applying the Claude 3 model to audio data

Some use cases for this pipeline include:

  • Create a summary of a long podcast or YouTube video
  • Ask a question about audio content
  • Create action items in meetings

How does it work?

Since language models primarily work with text data, they first need to transcribe audio data. Multimodal models can solve this, but they are still in the early stages of development.

To achieve this, AssemblyAI’s LeMUR framework is used. LeMUR simplifies the process by allowing you to combine industry-leading Speech AI models with LLM in just a few lines of code.

SDK Setup

To get started, install the AssemblyAI Python SDK, which includes all of LeMUR’s features.

pip install assemblyai

Then import the package and set up an API key, which you can get for free here.

import assemblyai as aai
aai.settings.api_key = "YOUR_API_KEY"

Transcribe audio or video files

Next, set up your audio or video file to transcribe. Transcriber And call transcribe() Function. You can pass a local file or a publicly accessible URL. For example, you could use an episode of Lenny’s podcast featuring Dalton Caldwell of Y Combinator.

audio_url = "https://storage.googleapis.com/aai-web-samples/lennyspodcast-daltoncaldwell-ycstartups.m4a"

transcriber = aai.Transcriber()
transcript = transcriber.transcribe(audio_url)

print(transcript.text)

Using Claude 3.5 Sonnet with Audio Data

The Claude 3.5 Sonnet is Anthropic’s most advanced model to date, outperforming the Claude 3 Opus in a number of evaluations while also being more cost-effective.

Please call to use Sonnet 3.5. transcript.lemur.task()A flexible endpoint that allows you to specify any prompt. It automatically adds the script as additional context to your model.

Specify aai.LemurModel.claude3_5_sonnet When calling LLM on a model. Here’s an example of a simple summary prompt:

prompt = "Provide a brief summary of the transcript."

result = transcript.lemur.task(
    prompt, final_model=aai.LemurModel.claude3_5_sonnet
)

print(result.response)

Using Claude 3 Opus with audio data

Claude 3 Opus is adept at handling complex analyses, long-term tasks with multiple steps, and high-level mathematical and coding tasks.

To use Opus, specify: aai.LemurModel.claude3_opus When calling LLM for a model, here is an example of a prompt that extracts specific information from a transcript.

prompt = "Extract all advice Dalton gives in this podcast episode. Use bullet points."

result = transcript.lemur.task(
    prompt, final_model=aai.LemurModel.claude3_opus
)

print(result.response)

Using Claude 3 Haiku with audio data

The Claude 3 Haiku is our fastest and most cost-effective model, ideal for light workloads.

To use Haiku, specify: aai.LemurModel.claude3_haiku When you call an LLM, it’s about the model. Here’s an example of a simple prompt to ask a question:

prompt = "What are tar pit ideas?"

result = transcript.lemur.task(
    prompt, final_model=aai.LemurModel.claude3_haiku
)

print(result.response)

Learn more about Prompt Engineering

Applying the Claude 3 model to audio data is straightforward using the AssemblyAI and LeMUR frameworks. To maximize the benefits of the LeMUR and Claude 3 models, please refer to the additional resources provided by AssemblyAI.

Image source: Shutterstock


Share. Facebook Twitter Pinterest LinkedIn Tumblr Email

Related Posts

Crypto Exchange Rollish is expanded to 20 by NY approved.

October 2, 2025

SOL Leverage Longs Jump Ship, is it $ 200 next?

September 24, 2025

Bitcoin Treasury Firm Strive adds an industry veterans and starts a new $ 950 million capital initiative.

September 16, 2025
Add A Comment

Comments are closed.

Recent Posts

Saylor tells MRBAST to buy Bitcoin even after pause the BTC purchase.

October 7, 2025

Bitcoin Steadies at Rally -Is another powerful brake out just in the future?

October 6, 2025

BitMine Immersion (BMNR) Announces ETH Holdings Exceeding 2.83 Million Tokens And Total Crypto And Cash Holdings Of $13.4 Billion

October 6, 2025

BC.GAME News Backs Deccan Gladiators As Title Sponsor In 2025 Abu Dhabi T10 League

October 6, 2025

Unity modifies mobile games and password wallets that threaten important vulnerability.

October 6, 2025

BitDigital becomes the first public Etherrium for distributing unsecured leverage -details -Details

October 6, 2025

Cango Inc. Announces September 2025 Bitcoin Production And Mining Operations Update

October 6, 2025

Cake Eyes 60% Rally Pancake WAP

October 5, 2025

Bitcoin Pullback — ETFs Drive Capital Flows, Altcoins Like SOL And XRP Boost Investor Returns

October 5, 2025

SHIBA INU (SHIB) and Dogecoin (DOGE) holders are 16,736%of Rally Progast Tempts buyers that are accumulated as Little PEPE (Lilpepe).

October 5, 2025

Solana Future Surge as the institution induces the open interest for the best record.

October 4, 2025

Crypto Flexs is a Professional Cryptocurrency News Platform. Here we will provide you only interesting content, which you will like very much. We’re dedicated to providing you the best of Cryptocurrency. We hope you enjoy our Cryptocurrency News as much as we enjoy offering them to you.

Contact Us : Partner(@)Cryptoflexs.com

Top Insights

Saylor tells MRBAST to buy Bitcoin even after pause the BTC purchase.

October 7, 2025

Bitcoin Steadies at Rally -Is another powerful brake out just in the future?

October 6, 2025

BitMine Immersion (BMNR) Announces ETH Holdings Exceeding 2.83 Million Tokens And Total Crypto And Cash Holdings Of $13.4 Billion

October 6, 2025
Most Popular

EU, AliExpress, LinkedIn investigate DSA compliance as AI law passes Congress

March 21, 2024

NVIDIA offers 50% discount on GeForce NOW membership for Black Friday

November 28, 2024

HKMA issues warning on fraudulent social media accounts and phishing messages

August 20, 2024
  • Home
  • About Us
  • Contact Us
  • Disclaimer
  • Privacy Policy
  • Terms and Conditions
© 2025 Crypto Flexs

Type above and press Enter to search. Press Esc to cancel.