#transformer-architecture tag

2 years ago

Data science

Primer on Large Language Model (LLM) Inference Optimizations: 1. Background and Problem Formulation | HackerNoon

Large Language Models (LLMs) revolutionize NLP but face practical challenges that must be addressed for effective real-world deployment.

8 months ago

Data science

If You Need a Primer on ChatGPT, Look No Further | HackerNoon

OpenAI's ChatGPT utilizes a specialized Transformer model for enhanced Natural Language Processing, ensuring sophisticated responses and context-awareness.

2 years ago

Data science

Primer on Large Language Model (LLM) Inference Optimizations: 1. Background and Problem Formulation | HackerNoon

Large Language Models (LLMs) revolutionize NLP but face practical challenges that must be addressed for effective real-world deployment.

more#natural-language-processing

8 months ago

Data science

If You Need a Primer on ChatGPT, Look No Further | HackerNoon

OpenAI's ChatGPT utilizes a specialized Transformer model for enhanced Natural Language Processing, ensuring sophisticated responses and context-awareness.

#machine-learning

Miscellaneous

How Mamba's Design Makes AI Up to 40x Faster | HackerNoon

Selective state space models indicate substantial advances in computational efficiency compared to traditional Transformers, streamlining both speed and memory usage during inference.

Data science

Princeton and CMU Push AI Boundaries with the Mamba Sequence Model | HackerNoon

Selective State Space Models enhance performance in deep learning applications by enabling content-based reasoning and improving information management.

Miscellaneous

How Mamba's Design Makes AI Up to 40x Faster | HackerNoon

Selective state space models indicate substantial advances in computational efficiency compared to traditional Transformers, streamlining both speed and memory usage during inference.

Data science

Princeton and CMU Push AI Boundaries with the Mamba Sequence Model | HackerNoon

Selective State Space Models enhance performance in deep learning applications by enabling content-based reasoning and improving information management.

more#machine-learning

Artificial intelligence

fromAgileabstractions

5 months ago

Current Generative AI and the Future

Current Gen AI exhibits several challenges including hallucination issues, copyright concerns, and high operational costs, despite some useful applications like code generation.

Data science

Textbooks Are All You Need: Abstract and Introduction | HackerNoon

phi-1 is a compact 1.3B parameter language model for code, achieving notable accuracy despite its smaller size.

#ai

fromMedium

Artificial intelligence

Leveraging AI for Kubernetes Troubleshooting via K8sGPT

AI can help manage Kubernetes through K8sGPT, based on Generative Pre-trained Transformer model.

fromfaun.pub

Artificial intelligence

Leveraging AI for Kubernetes Troubleshooting via K8sGPT

AI, specifically K8sGPT, can be used for managing Kubernetes efficiently.

fromMedium

Artificial intelligence

Leveraging AI for Kubernetes Troubleshooting via K8sGPT

AI can help manage Kubernetes through K8sGPT, based on Generative Pre-trained Transformer model.

fromfaun.pub