Browsing: models

In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We…

Image by Author   # Introduction  In a retrieval-augmented generation (RAG) pipeline, embedding models are the foundation that makes retrieval work. Before a language model can answer…

Amazon is a global ecommerce and technology company that operates a vast network of fulfillment centers to store, process, and ship products to customers worldwide. The…

!pip -q install -U “protobuf<5” “flwr[simulation]” transformers peft accelerate datasets sentencepiece import torch if torch.cuda.is_available(): !pip -q install -U bitsandbytes import os os.environ[“RAY_DISABLE_USAGE_STATS”] = “1” os.environ[“TOKENIZERS_PARALLELISM”]…

Kerry Wan/ZDNETFollow ZDNET: Add us as a preferred source on Google.ZDNET’s key takeawaysLG announces that select 2025 OLED TVs are compatible with Dolby Atmos FlexConnect.Other LG TVs can…

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We…

In this tutorial, we walk through an advanced, end-to-end exploration of Polyfactory, focusing on how we can generate rich, realistic mock data directly from Python type…

Waymo vehicles have reportedly racked up more than 200 million miles of autonomous driving on public roads. But it’s yet to run into a tornado or…

In the post Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI, we introduced the Amazon Nova LLM-as-a-judge capability, which is a specialized…

It looks like Samsung is preparing the launch of its first Ultra-branded robot vacuum, coinciding with the quiet removal of its existing robot vacuum lineup from…