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.
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.
Understanding the Mixture of Experts Layer in Mixtral | HackerNoon
Mixtral enhances transformer architecture with Mixture-of-Expert layers, supporting efficient processing and a dense context length of 32k tokens.
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.
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.
Understanding the Mixture of Experts Layer in Mixtral | HackerNoon
Mixtral enhances transformer architecture with Mixture-of-Expert layers, supporting efficient processing and a dense context length of 32k tokens.
Current Gen AI exhibits several challenges including hallucination issues, copyright concerns, and high operational costs, despite some useful applications like code generation.
Microsoft makes its Phi-4 small language model open-source
Microsoft has released Phi-4, a cost-effective small language model with 14 billion parameters, strong in text generation and mathematical problem-solving.
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.
Microsoft makes its Phi-4 small language model open-source
Microsoft has released Phi-4, a cost-effective small language model with 14 billion parameters, strong in text generation and mathematical problem-solving.
ChatGPT's success could have come sooner, says former Google AI researcher
The Transformer architecture revolutionized AI, enabling notable models like ChatGPT, but its creators didn't predict its vast impact on technology.
How to Do Sentiment Analysis With Large Language Models | The PyCharm Blog
Large language models (LLMs) significantly enhance the accuracy of sentiment analysis in text compared to traditional approaches.
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.
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.
ChatGPT's success could have come sooner, says former Google AI researcher
The Transformer architecture revolutionized AI, enabling notable models like ChatGPT, but its creators didn't predict its vast impact on technology.
How to Do Sentiment Analysis With Large Language Models | The PyCharm Blog
Large language models (LLMs) significantly enhance the accuracy of sentiment analysis in text compared to traditional approaches.
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.
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.
Meta Open-Sources MEGALODON LLM for Efficient Long Sequence Modeling
MEGALODON, a large language model (LLM), outperforms Llama 2 model on various benchmarks with linear computational complexity and unlimited context length.