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LLaMA 3: Advanced Applications and Fine-tuning Techniques
An in-depth exploration of Meta's LLaMA 3 models, focusing on practical applications, optimization strategies, and advanced fine-tuning techniques for specialized use cases
Read More →Llama 3: The State-of-the-Art Open-Source Large Language Model
A comprehensive overview of Meta's Llama 3 architecture, capabilities, performance benchmarks, and practical applications
Read More →Vector Databases in RAG Applications: Bridging Human Language and Machine Understanding
This article explores the crucial role of vector databases in Retrieval Augmented Generation (RAG) applications, analyzing how they bridge the gap between human language and machine understanding through semantic vector representations, providing a comprehensive guide from basic concepts to practical implementation.
Read More →Latest Updates
LLaMA 4 Released
Meta released LLaMA 4 Scout and LLaMA 4 Maverick, their first natively multimodal models with mixture-of-experts architecture and unprecedented 10M token context length.
LLaMA 4 Available on IBM watsonx.ai
IBM announced the integration of Meta's LLaMA 4 Scout and LLaMA 4 Maverick models into watsonx.ai, providing enterprise-grade support for the latest Llama models.
LLaMA 3 405B Model Released
Meta released their largest model yet, with 405 billion parameters, setting new benchmarks on multiple AI tasks.
LLaMA 3 Models Available on Ollama
Ollama announced the availability of LLaMA 3 8B and 70B models for easy local deployment, providing improved performance and a doubled context length from LLaMA 2.
LLaMA 3 Technical Report
Meta published their technical report on LLaMA 3, detailing architectural improvements and training methodology.