Register at http://
bit.ly/41giHTe for the @Alteryx Inspire Conference in Las Vegas! Top 10 Sessions to Attend: https://
alteryx.com/input/blog/the
-10-top-sessions-to-attend-at-inspire-2023
… — @Alteryx is the Leader in Self-service #DataAnalytics Automation: https://
alteryx.com/alteryx-analyt
ics-automation-platform
…
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#BigData #DataScience #AI #MachineLearning
INNOVATION
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Alteryx Inspire Conference in Las Vegas Registration and Top Sessions
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Building and Deploying Custom Tools for AI Agents
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Tools are elementary: a name, a description, a function. Designing a tool and pushing it to the Hub can be done in a few lines of code. The toolkit of the agent serves as a base: extend it with your tools, or with other community-contributed tools: https://
huggingface.co/docs/transform
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Building Super-Powerful AI Agents Together
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Please play with it, add your tools, and let's create *super-powerful agents* together. Here's a notebook to get started:
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Extensible AI Tool with Multimodal Built-in Capabilities
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It comes with built-in tools: • Document QA
• Speech-to-text and Text-to-speech
• Text {classification, summarization, translation, download, QA}
• Image {generation, transforms, captioning, segmentation, upscaling, QA}
• Text to video It is EXTENSIBLE by design. -

How AI Agents Work: Prompt Building and Chain-of-Thought
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How does it work in practice? It's straightforward prompt-building:
• Tell the agent what it aims to do
• Give it tools
• Show examples
• Give it a task The agent uses chain-of-thought reasoning to identify its task and outputs Python code using the tools. -

Transformers Agents: Democratizing ML with Multimodal Control
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We just released Transformers' boldest feature: Transformers Agents. This removes the barrier of entry to machine learning Control 100,000+ HF models by talking to Transformers and Diffusers Fully multimodal agent: text, images, video, audio, docs… https://
huggingface.co/docs/transform
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Building AI Agents with LLMs for Multimodal Tasks
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Create an agent using LLMs (OpenAssistant, StarCoder, OpenAI …) and start talking to transformers and diffusers It responds to complex queries and offers a chat mode. Create images using your words, have the agent read the summary of websites out loud, read through a PDF
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MIT’s Liquid Neural Networks: Flexible Brain-Like AI Models
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MIT inventors of liquid neural networks discuss building their brain-like flexible class of AI models: https://
bit.ly/42GRGc2 -
W&B and LLM Stack Leaders Navigate Post-GPT Era
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W&B stuck the landing in the post-GPT era, along with several other hot startups like MosaicML and Anyscale that proved to be an important part of the LLM-powered stack (in particular for training and inference, respectively, based on people I've talked to).