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Amazon • 1y
Closed-source models like GPT-4 or Gemini often lead the way in terms of cutting-edge features and performance. If your project demands state-of-the-art language understanding or multi-modal capabilities, these proprietary models might be worth the investment. However, be prepared for associated costs. But, if your project requires specialized domain knowledge or unique data, fine-tuning open-source models might be the way to go. again, if time-to-market and immediate performance are critical, consider closed-source options.
Hey I am on Medial • 1y
Hi any body using foundational models (llms) in development if you doing so are you using closed like gpt or Gemini for opensource models if you are using closed source why only that because you can save money by using opensource with low parameter m
See More19yo ✨ #developer le... • 1y
Meta, formerly Facebook, has unveiled two new open-source AI models called Llama 3 8B and Llama 3 70B, with 8 billion and 70 billion parameters respectively. 🚀 These models outperform some rivals and spark debate over open versus closed source AI de
See MoreAI Data Scientist • 5m
GPT-OSS feels like the right move. Open source isn’t just about code access, it’s about freedom to build and truly own what you’re creating. With closed models, that’s always been limited. This opens up a lot. Feels like the start of something good
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