A Gentle Introduction to Multi-Head Latent Attention (MLA)
Not all Transformer models are called “large language models” because you can build a very small model using the Transformer ...
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Combining XGBoost and Embeddings: Hybrid Semantic Boosted Trees?
Combining XGBoost and Embeddings: Hybrid Semantic Boosted Trees?Image by Editor | Perplexity The intersection of traditional machine learning and modern ...
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LLMs factor in unrelated information when recommending medical treatments | MIT News
A large language model (LLM) deployed to make treatment recommendations can be tripped up by nonclinical information in patient messages, ...
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Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event | MIT News
Launched in February of this year, the MIT Generative AI Impact Consortium (MGAIC), a presidential initiative led by MIT’s Office ...
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A Gentle Introduction to Multi-Head Attention and Grouped-Query Attention
Language models need to understand relationships between words in a sequence, regardless of their distance. This post explores how attention ...
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10 Must-Know Python Libraries for MLOps in 2025
10 Must-Know Python Libraries for MLOps in 2025Image by Editor | Midjourney MLOps, or machine learning operations, is all about ...
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Unlocking Performance: Accelerating Pandas Operations with Polars
Unlocking Performance: Accelerating Pandas Operations with PolarsImage by Author | Ideogram Introduction Polars is currently one of the fastest open-source ...
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A sounding board for strengthening the student experience | MIT News
During his first year at MIT in 2021, Matthew Caren ’25 received an intriguing email inviting students to apply to ...
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Combining technology, education, and human connection to improve online learning | MIT News
MIT Morningside Academy for Design (MAD) Fellow Caitlin Morris is an architect, artist, researcher, and educator who has studied psychology and used ...
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Unpacking the bias of large language models | MIT News
Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document ...
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