AI

Machine Learning's Most Useful Multitool: Embeddings

Embeddings are one of the most versatile techniques in machine learning, and a c...

You, Me, and My AI-Generated Alternate Identity

@azusagakuyuki is a young Japanese motorcyclist with long hair, a delicate chin,...

Generating and Visualizing Context Vectors in Transformers

This post is divided into three parts; they are: • Understanding Context Vectors...

5 Lessons Learned Building RAG Systems

Retrieval augmented generation (RAG) is one of 2025's hot topics in the AI lands...

TinyAgent: Function Calling at the Edge

The ability of LLMs to execute commands through plain langu...

Modeling Extremely Large Images with xT

As computer vision researchers, we believe that every pixel can...

2024 BAIR Graduate Directory

Every year, the Berkeley Artificial Intelligence Research (BAIR) La...

How to Evaluate Jailbreak Methods: A Case Study with th...

When we began studying jailbreak evaluations, we found a fascin...

Are We Ready for Multi-Image Reasoning? Launching VHs: ...

Humans excel at processing vast arrays of visual information, a...

Scaling Up Reinforcement Learning for Traffic Smoothing...

Training Diffusion Models with Reinforcement Learning ...

Virtual Personas for Language Models via an Anthology o...

We introduce Anthology, a method for conditioning LLMs to r...

Defending against Prompt Injection with Structured Quer...

Recent advances in Large Language Models (LLMs) enable exciting LLM...

Repurposing Protein Folding Models for Generation with ...

PLAID is a multimodal generative model that simultaneously gen...

Introducing Gemini 2.5 Flash

Gemini 2.5 Flash is our first fully hybrid reasoning model, giving developers th...

Generate videos in Gemini and Whisk with Veo 2

Transform text-based prompts into high-resolution eight-second videos in Gemini ...

DolphinGemma: How Google AI is helping decode dolphin c...

DolphinGemma, a large language model developed by Google, is helping scientists ...

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