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Fine-Tuning Llama-2: A Comprehensive Case Study for Tailoring Custom Models
We examine the Llama-2 models under 3 real-world use cases and show that fine-tuning yields significant accuracy improvements.
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AI & Machine Learning 3Systems & Performance 1Software Engineering 1Tech Industry & Business 1
We examine the Llama-2 models under 3 real-world use cases and show that fine-tuning yields significant accuracy improvements.
Using Anyscale Endpoints, we compared Llama 2 7b, 13b and 70b vs. OpenAI's GPT-3.5-turbo and GPT-4 for accuracy and cost.
In this blog, we discuss continuous batching, a critical systems-level optimization that improves both throughput and latency under load for LLMs.