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Ex-Twitter CEO Parag Agrawal Secures $30M Funding for New AI Startup

Analytics Vidhya

This substantial investment, led by Khosla Ventures and supported by Index Ventures and First Round Capital, marks Agrawal’s foray into the competitive landscape of AI, specifically targeting the […] The post Ex-Twitter CEO Parag Agrawal Secures $30M Funding for New AI Startup appeared first on Analytics Vidhya.

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Python Enumerate(): Simplify Looping With Counters

Analytics Vidhya

The concept of looping, which is a building block of Python’s capabilities, enables programmers to efficiently traverse through data sequences. Python, being a versatile programming language, has a robust developer community.

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A Guide to ‘pip install’ in Python

Analytics Vidhya

The ‘pip install’ command is a fundamental tool for managing these packages, allowing users to download, install, and manage Python packages easily from the Python Package Index (PyPI). But there’s more to this command.

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Announcing the AssemblyAI integration for LlamaIndex.TS

AssemblyAI

With LlamaIndex, you can easily store and index your data, and then use them with LLMs to build applications. The AssemblyAI integration is built into the llamaindex package , so you can start using AssemblyAI's speech-to-text immediately without any extra dependencies. Here's a sample LlamaIndex.TS

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How to use audio data in LlamaIndex with Python

AssemblyAI

With LlamaIndex, you can easily store and index your data and then apply LLMs.  text) # Runner's knee. Runner's knee is a condition. LlamaIndex is a flexible data framework for connecting custom data sources to Large Language Models (LLMs). You can get a free API key here. # print(docs[0].text)

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How to integrate spoken audio into LlamaIndex.TS using AssemblyAI

AssemblyAI

and AssemblyAI's new integration with LlamaIndex. With LlamaIndex, you can easily store and index your data, and then use them with LLMs to build applications. That's why we contributed an integration with AssemblyAI to LlamaIndex.TS The VectorStoreIndex creates embedding and indexes the hardcoded document.

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Announcing the AssemblyAI Integration for Haystack

AssemblyAI

That’s exactly what our new integration does. ", meta: { 'speaker': 'A' } ), Document( id=711a1888af58601e6392490a5e4ca4c10958f93a52d8f0734869c54573ea76f5, content: "Well, there's a couple of things. The season has been pretty dry already.",

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