
Mastering Long Context AI through MiniMax-01
MiniMax-01 achieves up to 4M tokens with lightning attention and MoE, setting new standards for
MiniMax-01 achieves up to 4M tokens with lightning attention and MoE, setting new standards for
Constitutional Classifiers provide a robust framework to defend LLMs against universal jailbreaks, leveraging adaptive filtering
Author(s): Mohamed Azharudeen M, Balaji Dhamodharan
Key components to deploy LLMs on major cloud service providers with real-world case studies
Modular RAG enhances flexibility, scalability, and accuracy compared to Naive RAG.
Optimize multi-agent LLM applications for cost efficiency and performance.
Improve text data quality with Cleanlab for better LLMs.
GPT-4 and MLflow revolutionize business communication.
The success of RAG system depends on reranking model.
A ranking algorithm that enhances the relevance of search results
Discover and implement Groq’s API for faster LLM inferencing with exceptional speed and efficiency.
In this talk, the focus was on parameter-efficient tuning and knowledge distillation techniques to optimize
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