5 Podcasts Every Machine Learning Enthusiast Should Follow
Editor's Image Machine learning is a huge field that has changed the world and I bet it will grow. If ...
Tag: Machine
UC Berkeley Researchers Introduce LoRA+: A Breakthrough in Machine Learning Model Tuning with Optimized Learning Rates for Superior Efficiency and Performance
In deep learning, the quest for efficiency has led to a paradigm shift in how we tune large-scale models. The ...
Are your conversations with AI secure? Exploring the depths of adversarial attacks on machine learning models
A major challenge facing LLM deployment is its susceptibility to adversarial attacks. These are sophisticated techniques designed to exploit model ...
Google AI introduces open source machine learning library to audit differential privacy guarantees with only black box access to a mechanism
Google researchers address the challenge of maintaining the correctness of differential privacy (DP) mechanisms by introducing a large-scale library for ...
How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker
This is a guest post written by Axfood AB. In this post, we share how Axfood, a large Swedish food ...
Microsoft Introduces AI Controller Interface: Generative AI with a Lightweight Virtual Machine (VM) Integrated into LLM
The rise of large language models (LLM) has transformed text creation and computer interactions. The lack of these models to ...
Meet VLM-CaR (code as a reward): a new machine learning framework that powers reinforcement learning with vision-language models
Researchers at Google DeepMind have collaborated with Mila and McGill University to define appropriate reward functions to address the challenge ...
Can machine learning models be tuned more efficiently? This AI article from Cohere for AI reveals how REINFORCE outperforms PPO in reinforcement learning from human feedback
Aligning large language models (LLMs) with human preferences has become a crucial area of research. As these models gain complexity ...
This machine learning research presents Premier-TACO: a robust and highly generalizable representation pretraining framework for low-shot policy learning.
In our ever-evolving world, the importance of sequential decision making (SDM) in machine learning cannot be underestimated. Unlike static tasks, ...
Navigating the data revolution: exploring the booming trends in data science and machine learning
Image generated with DALLE-3 In the ever-evolving technology landscape, the data revolution is emerging as a formidable force reshaping the ...
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