#transformer-models
#transformer-models

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Naive RAG simplifies data retrieval and generation processes through indexing, retrieving, and generating, optimizing response accuracy for user queries.

Quantum Computers Can Run Powerful AI That Works like the Brain

Transformers are a key component in driving the AI boom, with the potential to be run on quantum computers for even greater advancements.

Using Large Language Models for Zero-Shot Video Generation: A VideoPoet Case Study | HackerNoon

VideoPoet synthesizes high-quality videos using a transformer model that integrates multiple conditioning signals across various modalities.

Evaluating the Performance of vLLM: How Did It Do? | HackerNoon

vLLM was tested using various Transformer-based large language models to evaluate its performance under load.

Deep Learning Architecture: Naive Retrieval-Augmented Generation(RAG)

Naive RAG simplifies data retrieval and generation processes through indexing, retrieving, and generating, optimizing response accuracy for user queries.

Quantum Computers Can Run Powerful AI That Works like the Brain

Transformers are a key component in driving the AI boom, with the potential to be run on quantum computers for even greater advancements.

moreartificial-intelligence

Memory Challenges in LLM Serving: The Obstacles to Overcome | HackerNoon

LLM serving throughput is limited by GPU memory capacity, especially due to large KV cache demands.

#memory-management

The Generation and Serving Procedures of Typical LLMs: A Quick Explanation | HackerNoon

Transformer-based language models use autoregressive approaches for token sequence probability modeling.

Batching Techniques for LLMs | HackerNoon

Batching improves compute utilization for LLMs, but naive strategies can cause delays and waste resources. Fine-grained batching techniques offer a solution.

The Generation and Serving Procedures of Typical LLMs: A Quick Explanation | HackerNoon

Transformer-based language models use autoregressive approaches for token sequence probability modeling.

Batching Techniques for LLMs | HackerNoon

Batching improves compute utilization for LLMs, but naive strategies can cause delays and waste resources. Fine-grained batching techniques offer a solution.

morememory-management

#generative-ai

Etched is building an AI chip that only runs one type of model | TechCrunch

Generative AI companies are seeking alternative chip providers to challenge dominant players like Nvidia.

Leveraging the Transformer Architecture for Music Recommendation on YouTube

Transformers can enhance music recommendations by understanding user actions within context, addressing current system limitations in predicting evolving preferences.

Etched is building an AI chip that only runs one type of model | TechCrunch

Generative AI companies are seeking alternative chip providers to challenge dominant players like Nvidia.

Leveraging the Transformer Architecture for Music Recommendation on YouTube

Transformers can enhance music recommendations by understanding user actions within context, addressing current system limitations in predicting evolving preferences.

moregenerative-ai

Where does In-context Translation Happen in Large Language Models: Characterising Redundancy in Laye | HackerNoon

Critical layers in pre-trained transformers are essential for task execution and locating specific tasks, impacting overall model performance.

#efficiency

TTT models might be the next frontier in generative AI | TechCrunch

Efficiency challenge of transformers due to increasing power demand is pushing for new architectures like test-time training models (TTT) as a potential solution.

Where does In-context Translation Happen in Large Language Models: Inference Efficiency | HackerNoon

Identifying task recognition in transformer models enables significant inference speed-ups.

TTT models might be the next frontier in generative AI | TechCrunch

Efficiency challenge of transformers due to increasing power demand is pushing for new architectures like test-time training models (TTT) as a potential solution.

Where does In-context Translation Happen in Large Language Models: Inference Efficiency | HackerNoon

Identifying task recognition in transformer models enables significant inference speed-ups.

moreefficiency

Researchers jimmy OpenAI's and Google's closed models

Researchers discovered an attack on AI services to reveal hidden parts of transformer models through API queries.

The attack can expose the embedding projection layer of black box models, costing from a few dollars to several thousand depending on model size.

Etched scores $120M for an ASIC built for transformer models

Etched is developing an inference chip, Sohu, specialized in serving transformer models, claiming a 20x performance advantage over Nvidia's H100 by focusing on a specific type of AI model.

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#transformer-models#transformer-models

RNNs vs. Transformers: Innovations in Scalability and Efficiency | HackerNoon

Using Large Language Models for Zero-Shot Video Generation: A VideoPoet Case Study | HackerNoon

Evaluating the Performance of vLLM: How Did It Do? | HackerNoon

Deep Learning Architecture: Naive Retrieval-Augmented Generation(RAG)

Quantum Computers Can Run Powerful AI That Works like the Brain

Using Large Language Models for Zero-Shot Video Generation: A VideoPoet Case Study | HackerNoon

Evaluating the Performance of vLLM: How Did It Do? | HackerNoon

Deep Learning Architecture: Naive Retrieval-Augmented Generation(RAG)

Quantum Computers Can Run Powerful AI That Works like the Brain

Memory Challenges in LLM Serving: The Obstacles to Overcome | HackerNoon

The Generation and Serving Procedures of Typical LLMs: A Quick Explanation | HackerNoon

Batching Techniques for LLMs | HackerNoon

The Generation and Serving Procedures of Typical LLMs: A Quick Explanation | HackerNoon

Batching Techniques for LLMs | HackerNoon

Etched is building an AI chip that only runs one type of model | TechCrunch

Leveraging the Transformer Architecture for Music Recommendation on YouTube

Etched is building an AI chip that only runs one type of model | TechCrunch

Leveraging the Transformer Architecture for Music Recommendation on YouTube

Where does In-context Translation Happen in Large Language Models: Characterising Redundancy in Laye | HackerNoon

TTT models might be the next frontier in generative AI | TechCrunch

Where does In-context Translation Happen in Large Language Models: Inference Efficiency | HackerNoon

TTT models might be the next frontier in generative AI | TechCrunch

Where does In-context Translation Happen in Large Language Models: Inference Efficiency | HackerNoon

Researchers jimmy OpenAI's and Google's closed models

Etched scores $120M for an ASIC built for transformer models

#transformer-models
#transformer-models