Hey I am on Medial • 1y
It’s essential to strike a balance between cost and performance when choosing between closed-source and open-source models. While closed-source models like GPT or Gemini offer powerful capabilities, they often come with licensing fees. Open-source models, especially fine-tuned ones, can be cost-effective without compromising quality. Consider your project requirements and budget carefully.
19yo ✨ #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 MoreHey 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 MoreAI Data Scientist • 1m
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
See MoreHey I am on Medial • 7m
Bhavish Aggarwal’s AI startup, Krutrim AI, has begun hosting Chinese GenAI company DeepSeek’s open-source models on its cloud platform. Five models, ranging from 8 billion to 70 billion tokens, are now live on Indian servers at the world’s lowest p
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