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BOOSTING LLAMA 3.1 PERFORMANCE 10X β SELF-LEARNING ON LOCAL 405B
Boosting Llama 3.1 Performance 10x β Self-Learning on Local 405Bππ
Achieving maximum efficiency and speed β unleashing the full potential of Llama 3.1
Last week, LLaMA 3. 1 was the big news, but Meta is already developing LLaMA 4 and planning to launch it in the next few months. Meta is invested in open-source development, which can be seen in LLaMA 3. 1 has shown great results in following mass coding and instruction among several others.
Exciting New Developments
An area I find very interesting and where Meta has been more reserved is agent-related use cases. Meta is not only presenting LLaMA as an ML model but also a system and several tools with which developers can create their agents and new forms of agent conduct. Meta has a public repo called LLaMA Agentic System showcasing components of the LLaMA stack.
LLaMA Guard- A narrow-scope model that was built specifically to remove content.
Prompt Guard- Prevents jailbreaks.
Code Share- Promises safe code generation through large language models.
