Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context

The article announces a new Phind model that outperforms GPT-4 in coding tasks while being significantly faster. It highlights the model's performance on HumanEval and emphasizes its real-world helpfulness based on user feedback. The speed advantage is attributed to the use of NVIDIA's TensorRT-LLM library on H100s. The article also mentions the model's foundation on open-source CodeLlama-34B fine-tunes.

• •Phind has released a new model that surpasses GPT-4 in coding ability.
• •The new model is 5x faster than GPT-4.
• •The model is built on CodeLlama-34B fine-tunes.
• •The model achieves a HumanEval score of 74.7%.
• •The speed advantage is due to TensorRT-LLM on H100s.