Remove Accountability Remove Real estate Remove Scripts
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17 Real Estate Lead Generation Ideas: New & Super-Effective [2019]

JustCall

But if we ask an average realtor their best real estate lead generation strategy, we mostly get 2 answers: Cold Calling. After interviewing leading real estate agents and coaches. We have summed a list of 17 real estate lead generation tactics that include highly reliable and crazy new but working ideas.

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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Rachel Ivers worked as an Inside Sales Representative for 8z Real Estate for one and a half years. She also worked for zavvie, a real estate marketing startup. Additionally, she works at the CU Boulder Real Estate Center. Interactive agent scripts from Zingtree solve this problem. Bill Dettering.

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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning

CBRE is the world’s largest commercial real estate services and investment firm, with 130,000 professionals serving clients in more than 100 countries. The opportunities to unlock value using AI in the commercial real estate lifecycle starts with data at scale.

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Import a fine-tuned Meta Llama 3 model for SQL query generation on Amazon Bedrock

AWS Machine Learning

The complete flow is shown in the following figure and it covers the following steps: The user invokes a SageMaker training job to fine-tune the model using QLoRA and store the weights in an Amazon Simple Storage Service (Amazon S3) bucket in the user’s account. Model artifacts are copied from the user’s account into an AWS managed S3 bucket.

APIs 129
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The Case For the Anti-Script: A Multifactor Analysis of Script Adherence

Balto

“The anti-script doesn’t mean that you should wing it on every call… what anti-script means is, think about a physical paper script and an agent who is reading it off word for word… you’re taking the most powerful part of the human out of the human.” Share on Twitter. Share on Facebook.

Scripts 52
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Upscale images with Stable Diffusion in Amazon SageMaker JumpStart

AWS Machine Learning

This process, called upscaling , can be applied to both real images and images generated by text-to-image Stable Diffusion models. This can be used to enhance image quality in various industries such as ecommerce and real estate, as well as for artists and photographers.

Scripts 95
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Use foundation models to improve model accuracy with Amazon SageMaker

AWS Machine Learning

The notebook is used to deploy an endpoint for real-time inference. script that matches the model’s expected input and output. Model trained with original tabular data and features derived from real-estate images We can see from the following screenshot that features developed from images of the property were important.