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Understanding Reinforcement Learning and Multi-Agent Systems: A Beginner’s Guide to MARL (Part 1)

Towards AI

When we learn by grouping similar items, we call it clustering. A popular algorithm used for training a single agent is the Q-learning algorithm. The algorithm works by helping the agent estimate a reward from performing different actions in different states. Author(s): Arthur Kakande Originally published on Towards AI.

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Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart

AWS Machine Learning Blog

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). If you have a large dataset, the SageMaker KNN algorithm may provide you with an effective semantic search.

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From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker

AWS Machine Learning Blog

Founded in 2011, Talent.com is one of the world’s largest sources of employment. The performance of Talent.com’s matching algorithm is paramount to the success of the business and a key contributor to their users’ experience.

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How spaCy Works

Explosion

The short story is, there are no new killer algorithms. The way that the tokenizer works is novel and a bit neat, and the parser has a new feature set, but otherwise the key algorithms are well known in the recent literature. Dependency Parser The parser uses the algorithm described in my 2014 blog post. 0.2%) difference.

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Open source data visualization options: we compare 5 tools

Cambridge Intelligence

js) D3 makes sense for media organizations such as The New York Times […] where a single graphic may be seen by a million readers d3js.org History: First created by Stanford alumni and released in 2011. Live demos – tutorials let you try out basic styling, layout and algorithm options.