Meta’s Llama 2 Long outperforms GPT 3.5 and Claude 2

Meta Platforms recently introduced Llama 2 Long, a revolutionary AI model that outperforms top competitors with its ability to generate accurate responses to long user queries.

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Meta's new AI model

• As an enhancement of the original Llama 2, Llama 2 Long deals with larger data containing longer texts and is modified to handle lengthier information sequences.
• Its stellar performance outshines other models such as OpenAI's GPT-3.5 Turbo and Claude 2.

How Llama 2 Long works

• Meta built different versions of Llama 2, ranging from 7 billion to 70 billion parameters, which refines its learning from data.
• Llama 2 Long employs Rotary Positional Embedding (RoPE) technique, refining the way it encodes the position of each token, allowing fewer data and memory to produce precise responses.
• The model further fine-tunes its performance using reinforcement learning from human feedback (RLHF), and synthetic data generated by Llama 2 chat itself.

Impressive feats and future aspirations

• Llama 2 Long can create high-quality responses to user prompts up to 200,000 characters long, which is approximately 40 pages of text.
• Its ability to generate responses to queries on diverse topics such as history, science, literature, and sports indicates its potential to cater to complex and various user needs.
• The researchers see Llama 2 Long as a step towards broader, more adaptable AI models, and advocate for more research and dialogue to harness these models responsibly and beneficially.

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