Snorkel AI

MAY 3, 2023

Table of contents Why we needed to redesign our interactive ML system In this section, we’ll go over the market forces and technological shifts that compelled us to re-architect our ML system. Customers tackle high cardinality and multi-label ML problems, requiring far more training data to cover rare classes.

ML 52

ML ML Machine Learning Machine Learning 52

O'Reilly Media

NOVEMBER 19, 2024

What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s. See the Hearsay-II project , BB1 , and lots of papers by Barbara Hayes-Roth and colleagues. Does GraphRAG improve results?

Database 130

Database AI AI Natural Language Processing 130

AWS Machine Learning Blog

MAY 14, 2025

srun -l "${ARGS[@]}" python $SOURCE_DIR/merge_peft_checkpoint.py --hf_model_name_or_path $BASE_MODEL_BF16 --peft_adapter_checkpoint_path $ADAPTER_PATH --output_model_path $MERGE_MODEL_PATH --deepseek_v3 true Evaluate the fine-tuned model Use the basic testing scripts provided by DeekSeek to deploy the merged model. py --input-fp8-hf-path./DeepSeek-R1

Clustering 78

Clustering AWS ML ML 78

AWS Machine Learning Blog

NOVEMBER 17, 2023

Amazon Rekognition Content Moderation , a capability of Amazon Rekognition , automates and streamlines image and video moderation workflows without requiring machine learning (ML) experience. This process involves the utilization of both ML and non-ML algorithms. In this section, we briefly introduce the system architecture.

AWS 121

AWS ML ML Algorithm 121

AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud. Because you use p4de.24xlarge You can then take the easy-ssh.sh

Clustering 123

Clustering AWS ML ML 123

Snorkel AI

MAY 3, 2023

Table of contents Why we needed to redesign our interactive ML system In this section, we’ll go over the market forces and technological shifts that compelled us to re-architect our ML system. Customers tackle high cardinality and multi-label ML problems, requiring far more training data to cover rare classes.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 3, 2023

Table of contents Why we needed to redesign our interactive ML system In this section, we’ll go over the market forces and technological shifts that compelled us to re-architect our ML system. Customers tackle high cardinality and multi-label ML problems, requiring far more training data to cover rare classes.

Machine Learning 52

Machine Learning Machine Learning ML ML 52