Blog
Beating GPT-4 on HumanEval with a fine-tuned CodeLlama-34B
We've fine-tuned CodeLlama-34B and CodeLlama-34B-Python on an internal Phind dataset that achieve 67.6% and 69.5% pass@1 on HumanEval, respectively. GPT-4 achieves 67%. We've applied OpenAI's decontamination methodology to our dataset to ensure result validity.
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Phind Model beats GPT-4 at coding, with GPT-3.5-like speed and 16k context
We're excited to announce that Phind now defaults to our own model that matches and exceeds GPT-4's coding abilities while running 5x faster. You can now get high quality answers for technical questions in 10 seconds instead of 50.
Read MoreIntroducing Phind-70B – closing the code quality gap with GPT-4 Turbo while running 4x faster
We're excited to announce Phind-70B, our largest and most performant model to date. Running at up to 80 tokens per second, it offers the best overall user experience for developers amongst state-of-the-art models.
Read MoreIntroducing Phind-405B and faster, high quality AI answers for everyone
We're introducing a new flagship model, Phind-405B, along with a new Phind Instant model that offers extremely fast search speeds for all of your programming and curiosity questions.
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