Claude 2.1 Now Available with LeMUR + New Integrations

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community.

Anthropic's Claude 2.1 Now Available with LeMUR

Claude 2.1 is now available through LeMUR. This new model shares similarities with our Default model but stands out with reduced hallucinations, an expanded context window, and improved performance in citations.

To utilize Claude 2.1, simply set the final_model parameter to anthropic/claude-2-1 in your API requests to LeMUR. Below is an example of how to implement this using our Python SDK:

import assemblyai as aai

transcriber = aai.Transcriber()
transcript = transcriber.transcribe("https://example.org/customer.mp3")

result = transcript.lemur.task(
  "Summarize the following transcript in three to five sentences.",
  final_model = aai.LemurModel.claude2_1,
)

print(result.response)

Learn how to build with LeMUR in Java, TypeScript, and more with our docs.

Announcing the AssemblyAI Integration for Haystack

Haystack is an end-to-end LLM framework that enables you to build applications powered by LLMs, transformer models, vector search, and more. With the new AssemblyAI Haystack integration, you can now transcribe, summarize, or extract speakers from your audio files. Check out our guide to get started.

New AssemblyAI integration for Semantic Kernel .NET

Semantic Kernel is an SDK for multiple programming languages that integrates Large Language Models (LLMs) and other AI models. However, LLMs only operate on textual data and don’t understand what is said in audio files. With the new AssemblyAI integration for Semantic Kernel, you can use AssemblyAI's transcription models using the TranscribePlugin to transcribe your audio and video files.

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