Meta’s Megalodon LLM Will Surpass All Memory Requirements
A guide to Meta's Megalodon LLM that comes with a MEGA architecture that uses Complex Exponential Moving Average.
A guide to Meta's Megalodon LLM that comes with a MEGA architecture that uses Complex Exponential Moving Average.
Google Deepmind Researchers introduced Many Shot In-Context Learning to boost an LLM's performance, by giving thousands of learning examples.
Microsoft unveils Phi-3 model family, a collection of tiny LLMs that are highly powerful and can run on smartphones.
We compared Llama 3 and Claude 3 Opus on benchmarks like Apple Test, Code Generating, Debugging, Text Summarization, and Translation.
Find out how to access Llama 3 by locally downloading the model weights or through APIs on authorized sites like Huggingface or Kaggle.
Some key insights about Llama 3 shared by developers show its abilities like fast response times, image generation, and creating web apps.
Find out how to use Meta AI Chatbot on WhatsApp and Instagram, along with some new use cases for different scenarios.
Comparing the benchmarks of Meta's newly launched open-source Llama 3 AI model, along with its architecture and training data details.
Microsoft released WizardLM-2 open-source model, but it was later removed because they forgot to do toxicity testing.
Google Researchers introduced Infini-attention, a technique that configures LLMs to extend their context window while keeping memory constant.
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