ML applications

A Coding Guide to Implement Zarr for Large-Scale Data: Chunking, Compression, Indexing, and Visualization Techniques

ML applications

9 Min Read

A Coding Guide to Implement Zarr for Large-Scale Data: Chunking, Compression, Indexing, and Visualization Techniques

By Editorial Team

September 17, 2025

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MoonshotAI Released Checkpoint-Engine: A Simple Middleware to Update Model Weights in LLM Inference Engines, Effective for Reinforcement Learning

ML applications

3 Min Read

MoonshotAI Released Checkpoint-Engine: A Simple Middleware to Update Model Weights in LLM Inference Engines, Effective for Reinforcement Learning

By Editorial Team

September 16, 2025

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Meta AI Released MobileLLM-R1: A Edge Reasoning Model with less than 1B Parameters and Achieves 2x–5x Performance Boost Over Other Fully Open-Source AI Models

ML applications

3 Min Read

Meta AI Released MobileLLM-R1: A Edge Reasoning Model with less than 1B Parameters and Achieves 2x–5x Performance Boost Over Other Fully Open-Source AI Models

By Editorial Team

September 15, 2025

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UT Austin and ServiceNow Research Team Releases AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs

ML applications

5 Min Read

UT Austin and ServiceNow Research Team Releases AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs

By Editorial Team

September 14, 2025

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Google AI Releases VaultGemma: The Largest and Most Capable Open Model (1B-parameters) Trained from Scratch with Differential Privacy

ML applications

4 Min Read

Google AI Releases VaultGemma: The Largest and Most Capable Open Model (1B-parameters) Trained from Scratch with Differential Privacy

By Editorial Team

September 13, 2025

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BentoML Released llm-optimizer: An Open-Source AI Tool for Benchmarking and Optimizing LLM Inference

ML applications

3 Min Read

BentoML Released llm-optimizer: An Open-Source AI Tool for Benchmarking and Optimizing LLM Inference

By Editorial Team

September 12, 2025

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Meet mmBERT: An Encoder-only Language Model Pretrained on 3T Tokens of Multilingual Text in over 1800 Languages and 2–4× Faster than Previous Models

ML applications

4 Min Read

Meet mmBERT: An Encoder-only Language Model Pretrained on 3T Tokens of Multilingual Text in over 1800 Languages and 2–4× Faster than Previous Models

By Editorial Team

September 11, 2025

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MBZUAI Researchers Release K2 Think: A 32B Open-Source System for Advanced AI Reasoning and Outperforms 20x Larger Reasoning Models

ML applications

6 Min Read

MBZUAI Researchers Release K2 Think: A 32B Open-Source System for Advanced AI Reasoning and Outperforms 20x Larger Reasoning Models

By Editorial Team

September 9, 2025

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A New MIT Study Shows Reinforcement Learning Minimizes Catastrophic Forgetting Compared to Supervised Fine-Tuning

ML applications

4 Min Read

A New MIT Study Shows Reinforcement Learning Minimizes Catastrophic Forgetting Compared to Supervised Fine-Tuning

By Editorial Team

September 8, 2025

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Implementing DeepSpeed for Scalable Transformers: Advanced Training with Gradient Checkpointing and Parallelism

ML applications

12 Min Read

Implementing DeepSpeed for Scalable Transformers: Advanced Training with Gradient Checkpointing and Parallelism

By Editorial Team

September 8, 2025

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ML applications

A Coding Guide to Implement Zarr for Large-Scale Data: Chunking, Compression, Indexing, and Visualization Techniques

MoonshotAI Released Checkpoint-Engine: A Simple Middleware to Update Model Weights in LLM Inference Engines, Effective for Reinforcement Learning

Meta AI Released MobileLLM-R1: A Edge Reasoning Model with less than 1B Parameters and Achieves 2x–5x Performance Boost Over Other Fully Open-Source AI Models

UT Austin and ServiceNow Research Team Releases AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs

Google AI Releases VaultGemma: The Largest and Most Capable Open Model (1B-parameters) Trained from Scratch with Differential Privacy

BentoML Released llm-optimizer: An Open-Source AI Tool for Benchmarking and Optimizing LLM Inference

Meet mmBERT: An Encoder-only Language Model Pretrained on 3T Tokens of Multilingual Text in over 1800 Languages and 2–4× Faster than Previous Models

MBZUAI Researchers Release K2 Think: A 32B Open-Source System for Advanced AI Reasoning and Outperforms 20x Larger Reasoning Models

A New MIT Study Shows Reinforcement Learning Minimizes Catastrophic Forgetting Compared to Supervised Fine-Tuning

Implementing DeepSpeed for Scalable Transformers: Advanced Training with Gradient Checkpointing and Parallelism

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