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import torch import torch.nn.functional as F class DPOTrainer: def __init__(self, model, ref_model, beta=0.1, lr=1e-5): self.model = model self.ref_model =...

As Large Language Models (LLMs) grow in complexity and scale, tracking their performance, experiments, and deployments becomes increasingly difficult. That is where MLflow is available in – providing a comprehensive platform for managing your...

Gemma 2 builds upon its predecessor, offering enhanced performance and efficiency, together with a collection of modern features that make it particularly appealing for each research and practical applications. What sets Gemma 2 apart...

An end-to-end implementation of a Pytorch Transformer, through which we are going to cover key concepts reminiscent of self-attention, encoders, decoders, and way more.We will clearly see that the model attends from right to...

First, we want so as to add two recent dbt packages, dbt-expectations and dbt-utils, that can allow us to make assertions on the schema of our sources and the accepted values.# packages.ymlpackages:- package: dbt-labs/dbt_utilsversion:...

Hugging Face is an AI research lab and hub that has built a community of students, researchers, and enthusiasts. In a brief span of time, Hugging Face has garnered a considerable presence within the...

With Large Language Models (LLMs) like ChatGPT, OpenAI has witnessed a surge in enterprise and user adoption, currently raking in around $80 million in monthly revenue.  In keeping with a recent report by The...

Autoencoder is the form of a neural network that reconstructs an input from the output. The fundamental idea here is that we now have our inputs, and we compress those inputs in such a...