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Understanding the Total Cost of OpenAI
Decoding the total cost of ownership for OpenAI: an examination of AI costs.
September 8, 2023
August 23, 2023
The real value of Large Language Models
August 1, 2023
Top AI podcasts
July 25, 2023
Understanding the Total Cost of OpenAI
May 17, 2023
PyTorch 2.0 Release: Summary of Updates and Improvements
May 16, 2023
Full Stack Optimization of Transformer Inference: a Survey. Part 2 on Transformer Optimization
May 3, 2023
ChatLLaMA: ChatGPT-like training process for LLaMA architectures
March 23, 2023
ChatLLaMA 0.0.3 - Create your custom assistant like ChatGPT with limited computing resources
March 23, 2023
NVIDIA L4 GPU: The energy and cost-efficient successor to NVIDIA T4
March 22, 2023
Accelerate Stable Diffusion by 2-3X
March 16, 2023
Full Stack Optimization of Transformer Inference: a Survey. Part 1 on Bottlenecks and Hardware Implications
March 16, 2023
ChatLLaMA 0.0.2 - Build your hyper-personalyzed ChatGPT assistant
March 6, 2023
META’s LLaMA: A small language model beating giants
March 3, 2023
NVIDIA Multi-Instance GPU (MIG)
March 3, 2023
NVIDIA Multi-Process Service (MPS)
February 21, 2023
How to increase GPU utilization in Kubernetes with NVIDIA Multi-Process Service (MPS)
February 17, 2023
Token Merging (ToMe) — Meta’s Optimization Technique to Make ViT Faster. But Can ViT be Even Faster?
February 15, 2023
Reinforcement Learning from Human Feedback (RLHF) - a simplified explanation
January 26, 2023
Dynamically partition GPUs in Kubernetes with NVIDIA Multi-Instance GPU (MIG)
January 12, 2023
Top 10 Machine Learning and AI Conferences in 2023
January 10, 2023
YOLOv8 just released! New features and get started
January 10, 2023
Accelerate YOLOv8 inference time by 4-6 times with Speedster
January 9, 2023
Major releases: Nebullvm 0.7.0 and Speedster 0.1.0
December 29, 2022
Top AI predictions for 2023 from Forbes, Index Ventures, Sequoia and others
December 21, 2022
PyTorch implementation of Geoffrey Hinton’s Forward-Forward algorithm
December 19, 2022
The 10 best newsletters on Machine Learning and AI
December 4, 2022
How does PyTorch 2.0 perform in inference? A benchmark with TensorRT and ONNX Runtime
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Analyzing customer feedback for better LLMs product
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The real value of Large Language Models
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Top AI podcasts
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Understanding the Total Cost of OpenAI
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July 25, 2023
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PyTorch 2.0 Release: Summary of Updates and Improvements
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May 17, 2023
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Full Stack Optimization of Transformer Inference: a Survey. Part 2 on Transformer Optimization
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May 16, 2023
May 16, 2023
User analytics to deliver profitable LLMs that users love.
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