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AI-centric cloud for ML practitioners
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Data preparation for LLMs: techniques, tools and our established pipeline
Data preparation for LLMs: techniques, tools and our established pipeline
Why are datasets for LLMs so challenging? As with any machine learning task, data is half the battle (the other half being model efficiency…
Yury Anapolskiy
Jun 27
Fundamentals of LoRA and low-rank fine-tuning
Fundamentals of LoRA and low-rank fine-tuning
In the next installment of our series of deep technical articles on AI research, let’s switch our attention to the famous LoRA, a low-rank…
Stanislav Fedotov
Jun 17
Slurm vs Kubernetes: Which to choose for your ML workloads
Slurm vs Kubernetes: Which to choose for your ML workloads
Scaling your machine learning workloads will eventually require resource orchestration. Among the multiple solutions available, the most…
Panu Koskela
Jun 10
Demo: applying retrieval-augmented generation with open tools
Demo: applying retrieval-augmented generation with open tools
Retrieval-augmented generation (RAG) is a technique that enhances language models by combining generative AI with a retrieval component…
Roman Bunin
Apr 18
Transformer alternatives in 2024
Transformer alternatives in 2024
With this article, we are starting a new category on our blog, the one dedicated to AI research. Expect these posts to be very technical…
Stanislav Fedotov
Apr 4
Tips and tricks for performing large model checkpointing
Tips and tricks for performing large model checkpointing
There are various aspects to optimize when training large models. It often lasts weeks and involves managing billions of rows of data, with…
Simon Karasik
Mar 12
Joining AI research community: overview for industry experts
Joining AI research community: overview for industry experts
The global network of ML engineers is divided into two parts: industrial and academic. The flow of information, methods of interaction, and…
leono
Feb 21
Which AI conferences to attend in 2024?
Which AI conferences to attend in 2024?
The beginning of the year is a good time to make plans, right? If you’re an ML engineer, researcher, or technical manager, now is the…
leono
Jan 24
NVIDIA H100 and other GPUs — which are relevant for your ML workload?
NVIDIA H100 and other GPUs — which are relevant for your ML workload?
My name is Igor, I’m the Technical Product Manager for IaaS at Nebius AI. Today, I’m going to break down the differences between NVIDIA’s…
iofits
Nov 21, 2023
On Kubernetes significance for ML/AI engineers
On Kubernetes significance for ML/AI engineers
In the ever-evolving landscape of machine learning, the infrastructure that supports it plays a pivotal role, standing out as the key…
Levon Sarkisyan
Nov 20, 2023
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