Liquid AI released LFM2.5-Encoder-230M and LFM2.5-Encoder-350M, general-purpose bidirectional encoders that match or beat larger models on GLUE, SuperGLUE, and multilingual tasks while running about 3…
AI security must stop being treated as a black box, according to a technical analysis of jailbreak attacks that manipulate large language models through persona shifts, linguistic obfuscation, and vir…
Hugging Face tokenizer code in the Chapter 3 course notebook fails because the Datasets library now returns a Column object instead of a plain Python list when indexing by column name, breaking the to…
ChronoWeave is a system that uses large language models and neural networks to extract causal links from historical text and map them spatially, treating node positions as trainable tensors optimized …
ChronoWeave is a system that extracts causal graphs from historical text and lays them out as interactive maps, using a neural network to position causally-connected events close together. The project…
A developer launched bike.broker, a tool that uses a multimodal deep learning model (BERT plus tabular features) to predict used bike prices by factoring in custom parts and upgrades, achieving an ~18…
A new machine learning system developed by Queensland University of Technology researchers has flagged more than 250,000 cancer research papers as potentially fraudulent, according to a study publishe…
WordPiece, Unigram, and SentencePiece are three subword tokenization algorithms that differ in how they split text, with WordPiece using a likelihood-maximizing merge criterion and a ## continuation m…
A language model assigns a probability to the next token given all previous tokens, a task that the chain rule shows is sufficient to capture any pattern in language. Claude Shannon demonstrated in 19…
Public sentiment toward AI in education, particularly ChatGPT, remains cautiously positive despite ethical concerns over academic integrity, according to a study using BERT-based topic modeling and Se…
Transformer-based models BERT and graph attention model GAT are transforming puzzle game design by outperforming traditional CNNs in predicting player behavior, tested in Candy Crush Saga. These gener…
Even frontier large language models such as GPT-5.2 and leading open-weight alternatives consistently underperform fine-tuned BERT on a challenging legal reasoning task, according to a study by Caroli…
Natural Language Processing (NLP) is transforming business operations by converting unstructured text into actionable data, with the global NLP market valued at $59.7 billion in 2024. Key capabilities…
Researchers introduced a new method for structural sequence analysis based on Algorithmic Information Theory, using the Ladderpath approach to extract nested and hierarchical repetitions. The method d…
Ancestry has overhauled its genealogy services using AI to digitize over 71 billion records, accelerating content growth from 800 million records in 2021 to 18.6 billion in 2023. The company uses faci…
A new article explains that encoder and decoder models like BERT and GPT share the same underlying architecture, with the key difference being which tokens each model is allowed to attend to during pr…
KAIST researchers developed an AI model called BehaVERT that interprets mouse movement patterns like language, successfully identifying autism-related behavioral traits in mice without prior biologica…
Ancestry has spent 42 years digitizing 71 billion family records from 88 countries, a process that was slow and costly. Since 2014, the company has used AI, including machine learning and natural lang…
Team HSA_CORAL submitted to the FinCausal 2026 shared task on extracting cause-effect relations from financial narratives via extractive question answering in English and Spanish. Their best system, G…
Scaling laws predict training loss as model size, dataset size, and compute scale, but their practical application is sensitive to hyperparameter choices like learning rate. Lilian Weng's post highlig…