As augmented large language models (LLMs) with external tools become increasingly popular in web applications, improving augmented LLM inference serving efficie...
Training with differential privacy (DP) provides a guarantee to members in a dataset that they cannot be identified by users of the released model. However, tho...
Sketches are simple human hand-drawn abstractions of complex scenes and real-world objects. Although the field of sketch representation learning has advanced si...
Tokenizer adaptation plays an important role in transferring pre-trained language models to new domains or languages. In this work, we address two complementary...
Adapting large language models (LLMs) to low-resource languages remains a major challenge due to data scarcity and cross-lingual drift. This work presents a two...
We consider the problem of actively learning an unknown binary decision tree using only membership queries, a setting in which the learner must reason about a l...
PyTorch Model Performance Analysis and Optimization — Part 11 The post Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampli...
Stream released support for Google's new Gemini 3 modelshttps://ai.google.dev/gemini-api/docs/gemini-3 inside Vision Agentshttps://visionagents.ai/ — the open‑s...
While recent developments in large language models have improved bias detection and classification, sensitive subjects like religion still present challenges be...
AWS is launching more capabilities in both Amazon Bedrock and Amazon SageMaker AI to make building custom models easier....
From local distance to global probability The post The Machine Learning “Advent Calendar” Day 3: GNB, LDA and QDA in Excel appeared first on Towards Data Scienc...
- The top 10 most intelligent open-source models all use a mixture-of-experts architecture. - Kimi K2 Thinking, DeepSeek‑R1, Mistral Large 3 and others run 10×...
