Category: AI

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a wide margin on…

Artificial intelligence can enhance decision-making and enable action with reduced risk and greater precision, making it a critical tool for national security. A new program offered jointly by the MIT departments of…

In this article, you will learn practical ways to convert raw text into numerical features that machine learning models can use, ranging from statistical counts to semantic and contextual embeddings.

Topics we will cover include:

• Why TF-IDF…

MIT researchers have developed a new fabrication method that could enable the production of more energy efficient electronics by stacking multiple functional components on top of one existing circuit.

In traditional…

A practical illustration of how to exploit this gap came in a paper posted in October. The researchers had been thinking about ways to sneak a malicious prompt past the filter by hiding the prompt in a puzzle. In theory, if they came up with…

In this article, you will learn what data leakage is, how it silently inflates model performance, and practical patterns for preventing it across common workflows.

Topics we will cover include:

• Identifying target leakage and removing…

Two current MIT affiliates and seven additional alumni are among those named to the 2025 cohort of AI2050 Fellows.  

Zongyi Li, a postdoc in the MIT Computer Science and Artificial Intelligence Lab, and Tess Smidt ’12,…

import dataclasses

import torch

import torch.nn as nn

import torch.nn.functional as F

from torch import Tensor

@dataclasses.dataclass

class LlamaConfig:

    “”“Define Llama model hyperparameters.”“”

    vocab_size: int = 50000  # Size of…