Engineering: AI
Using a Speech Language Model That Can Listen While Speaking
Traditional speech language models like Siri or Alexa use turn-taking as the primary interaction style. Although these systems can detect single human voices, they cannot be interrupted in real time. Let's discover an advanced AI speech dialogue system that integrates listening and speaking capabilities to engage in conversations in real time, allowing seamless to-and-fro communication
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8 min read
The 6 Best LLM Tools To Run Models Locally
Running large language models (LLMs) like ChatGPT and Claude usually involves sending data to servers managed by OpenAI and other AI model providers. While these services are secure, some businesses prefer to keep their data entirely offline for greater privacy. This article covers the top six tools developers can use to run and test LLMs
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12 min read
How to Achieve a 9ms Inference Time for Transformer Models
Interested in Moderation for your product? Check out Stream's Auto-Moderation Platform! It is crucial for the technology platforms to moderate any harmful content as early as possible. Most modern moderation tools take a few hundred milliseconds to a few seconds to detect harmful content. Often the action against detected harm is taken after the harm
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5 min read
Transformations in Machine Learning
On 8th September 2020, an article in the Guardian was written by a robot called GPT-3. They asked the robot to write an article about why humans should not be scared of robots and Artificial Intelligence. The human editors wrote the introduction for the article and instructed GPT-3 to generate the next possible sentences iteratively.
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17 min read
Activity Feed Personalization 101: Top Feed Features to Improve User Engagement
Personalization comes in many flavors, and the data science team at Stream can help you build your own feeds personalization engine based on your specific needs. In conjunction with our analytics client we recommend tracking every event for every user, such as clicking on a link) we use both engagement and feed data to power
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4 min read
Google Feed Personalization and Recommender Systems
Lately, I’ve been using Google’s feed on Android and it contains several interesting best practices for content discovery. Google’s feed strikes an effective balance between machine learning and follow relationships. With the recent advancements in AI, it can be hard to know when to apply AI and when to use a more manual method. This
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4 min read
Building an End-to-End Deep Learning GitHub Discovery Feed
There's hardly a developer who doesn’t use GitHub. With all those stars, pulls, pushes and merges, GitHub has a plethora of data available describing the developer universe. As a Data Scientist at Stream, my job is to develop recommender systems for our clients so that they can provide a better user experience for their customers. With that said, I wanted to see if I could build a recommendation
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11 min read
Moving Beyond EdgeRank for Personalized Newsfeeds
This blog post is broken into two parts and harkens back to learnings from a prior post. The sum of all these parts is altogether my best effort to provide you with a framework of how to take the creation of personalized news feeds to the next level. Part 1: Theory behind a very basic
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6 min read